Why typing code by hand still teaches
Attention to syntax, muscle memory, and why a typing trainer still matters in 2026.
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Chemistry of Code
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AI speeds you up — it does not replace deliberate practice
When Copilot helps, when it hurts beginners, and why the trainer is not an IDE.
How to read code posts with the typing trainer
Practice blocks in courses and regular blog posts, deep links into the trainer, local checks kept separate.
Trainer modes: how to practice with them
full, partial, memory, fillblanks, hints, implement — when to use each mode, a weekly ritual, and what WPM vs accuracy mean.
One programmer, a whole team: how an experienced developer runs AI agents
AI agents are changing software development: an experienced programmer can assign implementation, tests, review, and docs in parallel. A working model, hard limits, and the skills of an engineer who directs workers — not only types code.
The math behind machine learning: from an apartment price to attention
How data becomes numbers, a model computes an answer, error points to the next adjustment, and held-out examples decide whether the network learned. From apartment prices to convolution, recurrence, and attention.
Neural nets by recipe: compute the weights, don’t store every matrix
A Habr survey of hypernetworks, Kilobyte Models, and SeedLM — compact “recipes” instead of giant weight files, and what you pay for the savings.
Compress and crop images in the tab, with no upload
HelpMyIMG crops and compresses in the tab: about 120 ms versus 4.2 s in the cloud, 70–85% smaller files, and nothing is uploaded.
The large file stays on the server: Matryoshka returns a short handle
Matryoshka keeps a document on the server and answers with short handles. A hand-run check on War and Peace and a 10k-line log, with no model key.
Local MoE LLMs without a server GPU: RAM, VRAM, and what you need in 2026
Why Mixture of Experts needs huge memory even with few active parameters, how offload and quantization change the home build, and why 64 GB RAM + 16 GB VRAM is a serious local AI start.
What AI devalues — and what it makes more valuable
AI does not erase professions wholesale; it devalues ways of creating value. What apps, courses, and roles lose — and where data, integration, and accountability grow.
Millions for a comment: how tech giants buy AI training data
Reddit APIs, OpenAI media deals, the Spirit Airlines archive, and Anthropic’s book scans — why model training now starts with a check, not the open web.
React 19.3: a photo grid morphs into detail without dropping state
Stable ViewTransition waits for React to commit, then morphs a named thumbnail into the detail image while the list keeps its selection.
Hunting JavaScript memory leaks with V8 mechanics and Chrome DevTools
How V8 decides what stays alive, seven common leak patterns, and how to find the retaining path with Performance and heap snapshots.
React Compiler: half the useMemos went, the useful ones stayed
A React 19 dashboard had 214 useMemo and useCallback calls. The compiler removed most of them; two edges stayed manual.
Human vs AI: who writes code faster — and why the studies disagree
Microsoft, GitHub, and METR: AI can cut task time by tens of percent—or slow mature repos by ~19%. Generation speed, quality, and the productivity illusion.
Local LLM on an NPU mini-PC: what Ryzen AI 9 365 actually delivered
A Habr field report: Qwen3.6–35B on FastFlowLM, RAM traps, one-request-at-a-time NPU limits, and payback versus cloud APIs.
JSONL, shards, and the path to the GPU: from one line to training
How large training sets are laid out: JSON vs JSONL, shards, compression, tokens, batches, and epochs — and why a terabyte of data does not need a terabyte of RAM.
NSL: WSL-like Linux development on an atomic host
Show HN: NSpawn Subsystem for Linux — nspawn machines in one VM, host files and ports, seven signed distros, optional isolation.
Computer Vision without a framework lock-in: 15 principles for PyTorch and TensorFlow
Computer Vision is not a PyTorch-vs-TensorFlow debate. Data, tensors, CNNs, classification, detection, segmentation, transfer learning, metrics, and production form one pipeline that survives an API change.
AI hardware: CPU, GPU, TPU, NPU, VRAM, and what neural networks need
Why GPUs matter for neural networks, how CPU, TPU, and NPU differ, why VRAM and bandwidth matter, how multi-GPU setups work, quantization, and the stack from PyTorch down to silicon.
ML frameworks for training neural nets: PyTorch, TensorFlow, JAX, tinygrad
What an ML framework is, how tensors and autograd work, how PyTorch, TensorFlow, JAX, tinygrad, and micrograd differ, and what to pick for your task — from learning to production inference.
ONNX: from PyTorch to Runtime — format, export, and inference parity
What ONNX and ONNX Runtime are, how to export from PyTorch, opsets and dynamic axes, why CRNN/YOLO exports break, and how to match Python before the browser.
PyTorch vs TensorFlow: comparing two machine learning giants
How PyTorch and TensorFlow differ: tensors, autograd, the training loop, data pipelines, GPU/TPU, deployment, CV and LLM ecosystems — and how to pick a framework for your task in 2026.
WebGPU + Transformers.js: neural nets straight in the browser
Run ML in React without a mandatory server GPU: WebGPU, Transformers.js, ONNX Runtime, OCR and computer vision, WASM fallback, and model-size budgets.
How much money a slow website loses: load speed and sales
Tie LCP, INP, and the funnel to revenue: major studies, a loss formula, an interactive calculator, A/B tests, and a performance budget for ecommerce.
Feature flags in production: shipping without a binary release
How to design feature flags: evaluation model, segments, stickiness, client vs server, kill switches, flag debt, OpenFeature, and common gradual-rollout failures.
Next.js 16 instead of WordPress: a Morocco store on mobile 4G
TripleW’s case: a 5,000-SKU catalog moved from WooCommerce to Next.js 16 — LCP from 3.8s to 680ms and CMI payments without PHP timeouts.
React-Redux 9.4 Alpha: signal-based selectors
React-Redux 9.4 Alpha adds opt-in useSignalSelector so only selectors whose data changed re-run after a dispatch.
Passkeys and WebAuthn in production: passwordless login that survives recovery
How to ship registration and sign-in with passkeys: the WebAuthn ceremony, relying-party id, challenges, synced vs device-bound keys, account recovery, and the server checks that demos skip.
AI tester over 11 weeks: 77 bugs from the agent, 16 from the human
A Claude Code session diary: 277 agent hours, 94 confirmed finds, where a reference pays off, and why an agent hour does not replace a human hour.
Offline-first React: a write that survives until the server
How to read and write with no network: TanStack Query, Dexie, an operation queue, a client id, and an idempotency key. Not a cached screen — delivery of the change.
Offline-first React: TanStack Query, IndexedDB, and an outbox
A three-step recipe for durable optimistic writes: persist the cache, register mutation defaults, and replay a Dexie outbox with client UUIDs.
YOLO: how a network learns to find objects in an image
Object detection in plain engineering language: how YOLO differs from classification and segmentation, what a box, confidence, and duplicate suppression actually mean, why pretrained weights and your own dataset matter, and how to connect a detector with OCR, lines, a graph, and a language model on process diagrams.
Frontier AI on hardware you already own
Tim Dettmers argues small labs can run large local models and autonomous research without winning a GPU-count contest.
Why a model drops the middle of a long document
On 500 pages of docs, full context scored about 34%. A small model extracts facts before the expensive one answers.
Three layers of an LLM stack: kernel, graph, and system
A map of large-language-model software: compute, memory, and communication, and which parallelism actually cuts latency.
Go concurrency: goroutines, channels, and a worker pool
Why the go keyword is not the whole model: channels, a bounded pool, and stopping work after the client has gone.
Svelte 5 runes: explicit reactivity instead of magic
Svelte 5 replaced implicit UI updates with runes. What that did to bundle size, and what the old promise cost.
Cropping a UT thickness form: projections, gated perspective, and other sheet-splitting methods
Field notes: how the pilot cuts a UT form photo into cells — morphology, projections, gated perspective — and which other sheet-splitting methods show up in industry practice.
Neural network quality metrics: how to know the model actually works
How to choose neural network quality metrics: classification, computer vision, OCR, LLM and RAG, calibration and production indicators — what to measure so the model truly works in the product.
A compact CRNN for UT measurements: 640k parameters and empty cells
Field notes: a local CRNN on thickness crops, CTC, 640k parameters, the empty-cell conflict, and why a Transformer is not the first step.
A compact CRNN does not get better because you hit train: the experiment loop
Third UT-pilot note: error diagnosis, one lever at a time, epochs, the dataset, and when the model should stop being squeezed for points.
Empty cells, dittos, and strike-through: OCR should not decide if a measurement exists
UT pilot sequel: five cell kinds, ink, ditto-up-the-column, strike-through, and why heuristics still do not replace a tiny classifier.
AI analysis of weld radiographs: from dataset to inspection system
AI for weld radiography: dataset, labels, detector, rules, and an expert. Why 88 GDXray images are not a plant dataset.
The programmer in the age of AI: end of the profession or a new level?
AI makes code cheap, not systems. Who stays valuable in 5–10 years, why juniors are exposed, and what to learn in 2026.
A data substrate and a vector database, side by side
Similarity search finds lookalikes. It does not explain a decision. How to keep the rule version next to the model’s answer.
Risk-based inspection: why the calendar loses to a system loop
Field notes on RBI: asset portfolio, PoF×CoF, integrity modules, API RP docs, and academy — not a finished product guide.
Handwritten UT forms: why one model is not enough
Field notes from a pilot: computer vision, OCR, vision LLMs, confidence, and operator review before ERP — not a finished production guide.
Two servers and a witness: high availability for Totum
How a Totum install moved to two main servers plus a small witness: database failover, files, and a health check.
Seven vulnerability patterns in AI-generated code — and how to catch them
Assistants optimize for a plausible runnable sample, not production. A Dev.to write-up names seven recurring holes and ships ai-vuln-scan to catch them.
Cohere quietly shipped a 218B MoE model just for translation
North Small Translate: 218B parameters, 25B active, 50 languages, WMT26 83.60. Open weights under CC BY-NC, production via Model Vault — specialists over chatbots.
Voodoo.js: breakthrough or a return to a simpler web?
A deep look at Voodoo.js: HTML-first without a build, JSX in markup, reactivity without a Virtual DOM, honest benchmarks, and why the idea matters more than speed in the AI-coding era.
Inside Voodoo.js: how a custom interpreter brings plain HTML to life
Reverse engineering Voodoo.js: from the browser HTML parser’s DOM to a lexer, Pratt AST, tree-walking interpreter, Proxy effects, and direct node writes—without eval.
Voodoo.js: a runtime architecture without a compiler, Virtual DOM, or eval
A layer map of Voodoo.js: walker, scope, reactivity, the cost of skipping a build, bundle size, feature creep, and HTML as an artifact for AI coding.
Caddy vs Nginx in 2026: auto TLS versus raw scale
Built-in certificates and a short Caddyfile versus Nginx’s C core: how to choose an edge proxy in 2026.
SFT datasets: how to design a supervised fine-tuning corpus
A pillar guide to supervised fine-tuning corpora: instruction→answer contracts, coverage, refusals, synthetic vs expert sources, pre-train gates, and eval leakage.
Voodoo.js: reactivity and map/filter inside plain HTML
An HTML-first JS framework with one script tag—no bundler—reactive markup and JSX-style syntax in a normal page.
Qwen 3.8 27B on Cerebras at ~1500 tokens/s
Qwen 3.8 27B on Cerebras public endpoints: ~1500 tokens/s, 64k/128k context, original unpruned weights in production.
Declarative field dependencies in React forms
Replace useEffect spaghetti with dependency config, the Observer pattern, and MobX fine-grained reactivity.
How Turbopack chunks your JavaScript in Next.js
Single bundle vs many requests, chunk groups, and Next.js 16.3 experiments: smarter fetching, analytics-based merging, CJS tree-shaking, shared runtime.
Teaching a Neural Network to Read Handwritten Digits: From CNN to TrOCR
A practical path from single-digit classification to sequence recognition on real paper forms: CNN, CTC, CRNN, TrOCR, labels from your database, experiments, and a production pipeline without the wrong model.
htmx 4.0: fetch-based requests and HTML-driven apps
Major htmx 4.0: fetch instead of XHR, attributes inherit only with :inherited, built-in morph swaps, and <hx-partial> for multi-target updates.
Dataset engineering for model training: where to start
A pillar guide to data for training and evaluating AI: golden records, golden editors, train/eval splits, leakage, manifests, and parameters by task and domain.
Software engineer to AI engineer, Part 5: scaling tools with MCP
Model Context Protocol—a shared tool catalog for AI apps: server, client, JSON-RPC, and a PayIQ FastMCP walkthrough.
Private Mistral codebook generator: a plan, not a recipe
Design a local qualitative-research workflow with Mistral Small 3.1, Ollama, and FastAPI—without overstating what AI can prove.
Design Patterns (GoF): vocabulary, not a goal
GoF digest: patterns as named solutions, Strategy and Observer today, pattern fever trap, AI cargo-cult — with cases and actions for today.
ACL and multi-tenancy in RAG: filter permissions before retrieval, not after
Production RAG cannot leave authorization to the model. How to isolate tenants, apply access lists before retrieval, close hidden leak channels, and measure recall under tight filters.
RAG document ingestion: PDFs, tables, OCR, and versions without silent garbage
A production ingest pipeline for RAG: immutable originals, PDF and scan parsing, tables that keep their headers, parser quarantine, versioning, and idempotent replay.
Svelte, September 2026: SvelteKit 3 RC, SvelteMap, and sv migration
Svelte 5.57 adds SvelteMap getOrInsert; SvelteKit 3 Release Candidate; ai-tools replaces mcp; sveltekit-3 task in sv migrate.
How Far Has AI Really Come? A Maturity Map Across Domains
AI does not advance evenly: in some fields it is already a professional tool, in others an impressive demo. A maturity scale, ratings across ten domains, and the key question — not "can it" but "how reliably and autonomously."
How one connection kills a database
An open transaction after an unhandled exception blocks a migration and every queued query—the GitHub and Postgres pattern.
Haiku R1/beta6: first release in two years, 25th anniversary
On August 26, 2026 Haiku R1/beta6 shipped — two years after beta5, a week after the project's 25th birthday.
The economics of data structures
There are no universally fast data structures. How to count storage, access, mutation, and movement costs — and pick a structure for the actual workload.
CMP 90HX for LLM: why a mining GPU slows down and what “six-seven” fixes
MoE tolerates CMP 90HX; dense models don't — compute paths are capped. Driver mod via V67 nearly doubles throughput but doesn't erase mining-card limits.
Lovable: 400 routes from Next.js to TanStack Start without a big bang
Proxy dual-run, #shared core, adapters, and agents: lovable.dev left Vercel for its own stack at 42M MAU.
Cloudflare freed ~100 TB by reshaping the DNS cache
Five Rust layout changes in Big Pineapple cut per-entry memory 56% and sped inserts 43% for 1.1.1.1-scale DNS.
How LLMs Find Knowledge: From Tokens and Transformers to RAG
How text becomes tokens and vectors, what a Transformer actually does, why training is not RAG, and how to grow a Markdown knowledge base into retrieval.
Bun 1.4: Rust runtime, closer Node.js compatibility, less memory
+1,517 Node tests, up to 35% less memory, ~2× faster Linux startup—first stable release after the Zig→Rust rewrite.
How to evaluate LLMs before production: GitHub secret scanning lessons
Start with the product decision and guardrails, then the model—offline eval as integration tests plus error analysis.
How LLMs Are Trained: Pretraining, Fine-Tuning, LoRA, RAG, and Agents
A practical map of LLM adaptation: what changes model weights, what plugs in knowledge and tools, and how to choose an approach without “fine-tuning on PDFs.”
Ukrainian LLM Leaderboard: ranking models on Ukrainian
Ukraine’s Ministry of Digital Transformation, UCU, and lang-uk open an Hugging Face leaderboard for LLMs on Ukrainian: translation, summarization, retrieval, ZNO.
WordPress 7.0: PHP-only blocks without React or a build step
autoRegister in WordPress 7.0 lets you register a block in PHP alone—great for migrating legacy themes, weak for interactive new blocks.
Cheap LLMs for agents: why token savings raise task cost
Why distilled models spawn extra tool calls, how benchmarks mislead, and which metrics beat price-per-million for agent TCO.
NanoGPT Speedrun: 153 agent runs across frontier models
Prime Intellect’s nanoGPT speedrun: 18 models, validated top score for Kimi K3kimi-code, plus 41 full agent trajectories.
Problem Engineering: specs beat prompt tricks for AI-generated code
Five-layer problem specs for AI coding: invariants, data contracts, concurrency, fault topology, and observability—before you prompt.
Self-hosted LLM for 25 developers: prefix cache beats raw model choice
vLLM on Blackwell: 96.9% prefix cache hit rate, 452:1 input/output, and why teams keep inference in-perimeter for control—not token savings.
Language Model Quality Testing: What the Tests Are and What They Actually Measure
LLM quality checks: public task sets, arenas, model judges, safety, product regression, and online signals — what each test measures and what it cannot see.
Vector databases for AI agents in 2026: beyond raw ANN speed
Qdrant, Pinecone, Weaviate, pgvector, and Milvus compared for agent memory: filtering, hybrid search, tenancy, and quantization.
CrewAI on Go with zero deps: agent orchestration on the standard library
crewai-go mirrors Agent, Task, and Crew in pure Go stdlib: one binary, fast cold start, and explicit task dependencies.
React Native in 2026: New Architecture, native code, and AI boundaries
A real-app walkthrough: Fabric and JSI, where work runs, bare vs Expo, keyboards on complex forms, and where AI actually helps in RN.
Semantic context for LLMs: how LSP helps a model understand code
Part 4 of a completion series: Language Server Protocol supplies types, definitions, and references — a layer on top of repository text search.
Spec-Driven Development in 2026: the spec as source of truth for AI-assisted coding
Make the specification the primary artifact: spec → plan → agent code → verify, 2026 tools, vs TDD/BDD, and where SDD breaks.
Vector databases in production: the index and storage layer for semantic search
How to run a vector database as an index layer: ANN algorithms, filters, tenancy, operations, and when pgvector beats a dedicated store.
Bun's Zig-to-Rust rewrite: 'never rewrite from scratch' was a frozen cost model
64 agents moved Bun's core in 11 days. The rewrite taboo was about cost, not metaphysics — and review debt did not disappear.
JavaScript in the agent harness: when a script is cheaper than model reasoning
A sandboxed JS interpreter replaces some tool hops and LLM arithmetic. Notes from a Habr deep dive on LM Studio and LangChain.
AI video in a content pipeline: edit the frame, don’t invent the clip
Runway Aleph in production: shot manifests, one op per pass, preserve clauses, human QC, and prompt caching.
Claude system prompts: lessons from Haiku 3 to Opus 5
Anthropic publishes system prompts: not magic personas, but decision rules, tools, uncertainty handling, and UX for long agent tasks.
AI agents need a platform, not just faster typing
Why coding assistants don't shorten monolith release cycles without trackers, runtimes, data access, and MCP—SimpleOne's low-code cases.
Code review in the AI era: what a human must check after an agent diff
Agent PRs outpace review capacity: review debt, what AI can catch vs what humans must own, a post-diff checklist, human gates, and a team playbook for light vs deep review in 2026.
HTML over WebSockets: SPAs with barely any JavaScript
The LiveView pattern: server-rendered HTML over a persistent channel—no separate API contract or heavy client framework required.
LLMs overturn old math claims—verification is the bottleneck
Counterexamples and proofs from models, a sandbox escape, Lean certificates: don't treat chain-of-thought as faithful reasoning.
Air-gapped MLOps on Kubernetes: MLflow, DVC, and OpenBao
A DevOps-oriented blueprint for training and serving models behind the perimeter—GitOps, secrets, and GPU outside the cluster.
React useLatest: fresh state in async callbacks without extra renders
useLatest from @reactuses/core: a layout-effect ref against stale closures after await, timers, and subscriptions.
Refactoring: change structure, not behavior
Fowler digest: two hats, smells, small steps, and tests — with enterprise cases, AI context, and actions for today. Not a substitute for the book.
Up to 8,000 Ukrainians: free Oracle IT training and certification
UK-Ukraine TechBridge and Diia City: Oracle University MyLearn until May 2027 — cloud, data, DevOps, Java, and a free exam on request.
TanStack Table v9: pay only for the table features you register
Stable v9 four years after v8: tree-shakable features, TanStack Store, up to 86% less memory on a million rows, and ten framework adapters.
How Cursor and other AI IDEs work with code: from autocomplete to agents
Evolution of IDEs and AI tool internals: LSP, repo indexing, context assembly, Tab/Chat/Agent modes, MCP, and comparison of Cursor, Copilot, JetBrains, CLI agents — what happens to code under the hood in 2026.
Why cheap testing gets expensive: the economics of software failure cost
A feature is an investment that does not end at release. How to account for build, verification, support, and failure cost — and why you should test in proportion to blast radius, not coverage percentage.
Best tech movies and series for engineers
A tech-adjacent watchlist: startups, outages, AI, teams, and ethics — with selection criteria and honest caveats. Not a clickbait IMDb top.
Clean Code: readability without dogma
A Martin digest on names, functions, tests, and boundaries — with critique of dogma, AI context, real cases, and actions for today. Not a substitute for the book.
Best programming books for working engineers
Twelve software engineering books worth reading: selection criteria, who each is for, core ideas, and a forthcoming digest series on this blog.
The Pragmatic Programmer: habits that outlast the stack
Not a cliff-notes recap — a working digest of Hunt and Thomas on orthogonality, DRY, broken windows, and tracer bullets, with enterprise cases, AI context, and actions for this week.
Agentic Engineering in 2026: How to Manage AI Agents Without Sacrificing Quality
A practical model for agentic development: context, task decomposition, verification loops, multi-agent orchestration, security, DORA metrics, and the engineer's role in the 2026 SDLC.
AI Evaluation Harness in 2026: Golden Sets, Regression Gates, and Release Criteria That Survive Production
Build an AI evaluation harness that connects golden datasets, retrieval and generation metrics, CI regression gates, shadow traffic, release controls, observability, and LLM gateway FinOps.
AI Guardrails in 2026: Policy Gates, Tool Allowlists, and Safe Autonomy for Production Agents
A practical operating model for putting AI agents and RAG systems into production: policy-as-code, narrowly scoped tools, human approvals, adversarial testing, and audit evidence that engineers can actually use.
Failover playbooks: timeouts, circuit breakers, honest degradation
Build LLM failover playbooks with bounded retries and honest degraded modes.
LLM Gateway & FinOps in 2026: Model Routing, Token Budgets, and Cost Control Without Sacrificing Quality
A practical 2026 guide to LLM gateways and FinOps: request taxonomy, model routing, token budgets, caching caveats, failover, multi-provider contracts, chargeback, security, observability, and a 90-day rollout plan.
How to design a model routing taxonomy for product teams
Design stable model routes around workload contracts rather than provider labels.
Semantic caching without leaking tenant data
Build a multi-tenant semantic cache without cross-tenant exposure or stale authorization.
Token budgets and chargeback for multi-team AI platforms
Set token budgets and chargeback using useful-work metrics and clear ownership.
Production RAG Engineering in 2026: Chunking, Hybrid Search, Reranking, and Evals
A practical guide to production RAG architecture: ingestion, chunking, hybrid retrieval, reranking, evaluation, observability, security, and staged delivery for engineering teams.
Prompt Injection in Production 2026: Defending RAG, Tools, and Agents Against Untrusted Content
A production security model for prompt injection: treat retrieved documents, web pages, tool results, and MCP resources as hostile input; isolate context, constrain egress and tools, sandbox execution, and test layered defenses.
Chunking experiments for PDF, HTML, and knowledge bases
Run controlled chunking experiments while preserving document structure and citations.
How to build a golden dataset for RAG evaluation
Build a representative, versioned golden dataset for RAG retrieval and answer evaluation.
Hybrid search with BM25, vectors, and reciprocal-rank fusion
Combine BM25, vector retrieval, and reciprocal-rank fusion with measurable production guardrails.
Reranking in production RAG: quality, latency, and cost
Operate a RAG reranking stage with explicit quality, latency, and cost budgets.
From Junior to Senior Go Developer: What You Actually Need to Learn
A realistic Go growth map: the Junior foundation, Middle-level idioms and production work, then Senior architecture and responsibility—without needless frameworks or checklist theater.
MCP in production 2026: the stateless spec, security, and migration
A practical guide to Model Context Protocol after the 2026-07-28 release: no sessions, MRTR, header-based routing, auth hardening, shadow MCP, and servers that survive real load.
SvelteKit Remote Functions, TypeScript 6, and CLI Plugins
A Dev.to walkthrough argues that typed remote functions and experimental CLI plugins can simplify SvelteKit feature delivery.
Giving an AI Agent MCP Access to the Yandex Webmaster API
A practical MCP server design for Yandex Webmaster: eight task-oriented tools, OAuth sign-in, and safe API actions for AI agents.
OpenAI brings frontier AI to US scientific research
OpenAI’s National Science Initiative funds model access for labs and universities, but validation, governance, and expert review remain decisive.
Why an AI Agent Can Cost Less Than RAG
More LLM calls do not necessarily cost more: support teams should measure the cost of resolving a question, not generating one answer.
Reference Architecture for an Enterprise AI Platform
A practical architecture that connects business problems, knowledge, RAG, agents, security, and observability into one enterprise AI platform.
Your Local LLM Is Not Automatically Private
CVE-2026-7482 in Ollama shows how a local LLM server can expose process memory when it accepts untrusted model files and network access.
Enterprise AI Antipatterns: Mistakes That Become Expensive
The architectural mistakes that weaken enterprise AI platforms—and how to prevent them before production rollout.
CSS conic-gradient(): triangles, rays, and pie segments
conic-gradient() paints color around a point, enabling pie segments, rays, triangles, and interactive effects without extra markup.
Kimi K3: What Open Weights Mean for Developers
Moonshot AI has released Kimi K3 weights. Here is what its MoE design, 1.4 TB footprint, and licence mean before adoption.
Scaling Enterprise AI: From a Pilot to a Knowledge Ecosystem
How to extend an enterprise AI platform across a group while preserving shared standards, local data boundaries, and an operable architecture.
Secure Enterprise AI Development: Releasing Change Without Losing Control
A practical lifecycle for changing enterprise AI safely: requirements, testing, security review, controlled release, rollback, and monitoring.
Enterprise AI Observability: Seeing the Whole System
How to operate enterprise AI with observability across infrastructure, RAG, answer quality, security, and business metrics.
Evaluating Enterprise AI: Metrics You Can Trust
A practical framework for measuring enterprise AI across retrieval, answers, security, and business outcomes.
Training a 6.4M-Parameter Transformer for Recipe Tasks
A developer built a compact PyTorch transformer from scratch, trained it for recipes, and runs it on CPU without external APIs.
Open-weight AI is reaching its Kubernetes moment
Open-weight models are becoming a portable platform for developers to run, adapt, and extend with an independent tooling ecosystem.
Enterprise RAG Architecture: From Search to a Knowledge Platform
How to design scalable RAG for many data sources, millions of documents, and access-controlled enterprise knowledge.
Preparing Data for RAG: Turning Archives into a Knowledge Base
How to clean, describe, chunk, and safely index enterprise documents for reliable AI answers.
Hardware Platform for Enterprise AI: Size It from the Workload
How to select servers, accelerators, networking, and storage for enterprise AI without buying capacity you do not need.
How to Select an Enterprise LLM: Criteria Over Rankings
How to select a language model for enterprise AI using scenarios, security, cost, and infrastructure requirements.
Designing an Enterprise AI Platform: From Pilot to Standard
How to design a scalable enterprise AI platform where knowledge, security, and integrations matter more than any individual model.
The First Enterprise AI Pilot: From Knowledge Map to Measurable Value
How to select a bounded, secure enterprise AI pilot, define success criteria, and prepare for responsible scaling.
Arcovia maps architecture health in React and Next.js
Arcovia analyzes React and Next.js projects, maps dependencies, explains its architecture score, and highlights refactoring priorities.
How TypeScript Generic Constraints Prevent Runtime Errors
How `extends`, `keyof`, and indexed access let TypeScript catch invalid keys and values before an application runs.
The Enterprise Knowledge Map: From Information Chaos to AI Foundation
How to discover, classify, and safely connect enterprise knowledge for RAG and enterprise search.
Enterprise Assessment: Start an AI Project with Facts
How interviews, process analysis, and knowledge discovery prepare an enterprise AI project for sound design.
An Enterprise AI Architect’s First Day: Start with the Business
Why an enterprise AI project starts with business needs, knowledge, and security—not with a model or server choice.
Gemma 4 26B on a 13-Year-Old Xeon: What CPU-Only AI Can Really Do
A Dev.to author reports running Gemma 4 26B on a Xeon E5 v2 without a GPU. Here are the requirements, claims, and caveats.
The Future of Enterprise AI: Architecture That Lasts
How to build an enterprise AI platform that can outlive changing models, vendors, and data formats.
Production RAG: Lessons from Processing 10,000 Listings a Day
A production RAG pipeline depends on document chunking, embeddings, pgvector, cost controls, and observability—not just an LLM.
Change Management: Making Corporate AI Part of Daily Work
Why corporate AI adoption succeeds through pilots, training, and feedback—not a big-bang rollout across the organization.
Open LLMs in production: 8 lessons from llama.cpp, Gemma, and Qwen
Eight practical lessons for running open LLMs: inference control, task-specific model selection, prompt templates, and structured output.
Bun in Rust, TypeScript 7, and npm 12: JavaScript Tooling Shifts
Bun rebuilds on Rust, TypeScript 7 speeds up compilation, and an npm incident underscores the operational cost of dependencies.
A self-updating open-data site with GitHub Actions, Pages, and data branches
Village Finder uses GitHub Pages, Actions, releases, and isolated branches to publish changing open data without an application server.
Corporate AI Governance: From Experiment to Managed Platform
How to assign accountability, control change, and sustain quality and security across a corporate AI platform.
A 744B AI Model in 25GB of RAM: Inside Colibri
Colibri runs the GLM-5.2 MoE model without a GPU by keeping dense weights in RAM and streaming experts from NVMe. Here are the trade-offs.
ERP as a Knowledge Source, Not a Corporate AI Competitor
How to connect corporate AI to ERP while preserving data authority, access roles, and operational controls.
Why Enterprise AI Needs Agents
How agent systems connect language models to enterprise services and automate processes while keeping people in control.
When Fine-Tuning a Model Is Actually Needed
How to separate enterprise knowledge from model behavior and decide when fine-tuning is worth the operational cost.
Security as an Architectural Principle for Enterprise AI
Why data protection, access controls, answer traceability, and audit must shape enterprise AI architecture from day one.
Enterprise AI Infrastructure: Design for Workload, Not for GPUs
How to design reliable, scalable enterprise AI infrastructure from business scenarios, security constraints, and service-level requirements.
Vector Databases: The Foundation of Enterprise Semantic Search
How vector databases make enterprise knowledge searchable at scale while preserving source systems and access controls.
Xiaomi Released a Frontier AI Model Anonymously—and Developers Chose It
Hunter Alpha was an early MiMo-V2-Pro build. Its uptake shows how price, output quality, and data jurisdiction shape model selection.
Why Embeddings Changed Enterprise Search
How vector representations retrieve enterprise knowledge by meaning while preserving exact search and security requirements.
Why Enterprises Need RAG Instead of LLM Memory
How RAG separates enterprise knowledge from the model, keeps documents current, and preserves verifiable, permission-aware access.
Turn a Job Description Into a Focused Mock Interview Pack
A small Node.js script extracts signals from a job description and turns them into technical prompts, story gaps, and a seven-day practice plan.
Why LLMs Emerged and Their Role in Enterprise AI
How the limits of search and rule-based systems led to LLMs—and why a model is an interface to knowledge, not enterprise memory.
The Enterprise AI Platform: Why an LLM Is More Than a Chat
How to build an enterprise AI platform around a knowledge layer, integrations, and security without depending on one model.
Meta open-sources its Astryx design system for React
Astryx combines React, StyleX, 160+ components, themes, and templates, offering a look at Meta's approach to large-scale UI consistency.
Business Language and Technology Language: How to Start Enterprise AI Projects
Why enterprise AI should begin with measurable business outcomes, knowledge, and security—not model selection.
The Enterprise as a Knowledge System: Where Corporate AI Begins
Why knowledge is a strategic asset and corporate AI starts with business problems and security—not with picking an LLM.
Frontend without the wait: TSGO, Oxlint, Rsbuild, and React Compiler
A practical frontend tooling roundup: faster type checks, linting, builds, API contracts, and React optimisation.
Git 2.55 brings incremental maintenance and easier history fixes
Git 2.55 adds incremental multi-pack indexes, a direct way to fix earlier commits, and parallel configured hooks.
React: debounce searches and autosaves without extra requests
How to choose useDebounce or useDebounceFn in React, avoid stale closures, and safely control pending work.
Astro 7: Rust core, route caching, and AI-friendly tooling
Astro 7 moves its compiler and Markdown processing to Rust, speeds up builds, and adds route caching and agent-aware development tools.
How to Stop an AI from Inventing Numbers in Your Data
A practical Claude Desktop-inspired setup: DuckDB performs calculations while the model works through schemas, tools, and guarded access.
From Local LLM to a Safer API with FastAPI and Ollama
A FastAPI wrapper for a local SQL-generating LLM shows why read-only execution and compact schema context matter.
Where Code Generation Ends and Engineering Begins
AI already writes working functions, but a product is architecture, context, risk, and accountability. The boundary between code and engineering, a 15-year legacy case study, and developer skills in 2026.
Can AI Understand a Codebase With 15 Years of History?
Millions of lines, hundreds of tables, dozens of integrations: what AI grasps in hours, where it fails, how teams deploy RAG and repo indexing, and why expert + model beats either alone.
Fable 5 and qa-mcp: reverse-engineering the 1C TestClient protocol with AI
Habr case study: from Vanessa Automation to native TestClient in Python — where Codex stalled for a week, Fable 5 mapped the protocol in a day for qa-mcp.
YouTube transcripts for summarization and RAG: REST instead of scraping
Fetch JSON transcripts with timestamps via a RapidAPI endpoint — for LLM summarization, vector search, and subtitles without brittle page parsing.
Shumai: an open-source Frame.io alternative for creative teams
Shumai offers media storage, frame-accurate review, collaboration, and an AI agent with semantic search. Deploy in minutes with Docker Compose or npm.
How to Turn a Diagram Image into an Editable Diagram: Full Technology Survey from OCR to AI
Flowcharts, UML, BPMN, network topologies, and CAD drawings: why PNG ≠ diagram, what OCR, vectorization, CAD, computer vision, and VLMs deliver in 2025–2026, and which pipeline actually works.
Why thousands of AI articles do not guarantee traffic
The 2025–2026 content race: why mass AI generation fails to scale linearly, how search engines judge whole sites, and what works instead of content farms.
Why Go became one of the most popular server-side languages
History of Go, simplicity philosophy, goroutines, cloud-native ecosystem, and comparison with Java, Node.js, Python, and Rust for backend engineers.
Fine-tuning Qwen 3 0.6B: from 10% to 92% question classification accuracy
A home chatbot experiment: fine-tune a tiny local LLM with Unsloth and two-letter category codes instead of label names for metadata-aware RAG.
From pip install to production: a self-healing AI agent in 10 minutes
Practical guide to NeuralBridge SDK: multi-provider failover, cascade self-healing, and observability for OpenAI-compatible LLM calls in Python.
euv: a Rust and WebAssembly UI framework for the browser
Intro guide to euv: virtual DOM, reactive signals, the html! macro, and mount — declarative frontend with Rust type safety compiled to WASM.
I gave Tailwind typed props. Then it ate React Hook Form.
How the DashForge author turned Tailwind classes into typed props and built application-aware components: forms, visibleWhen, RBAC — without Controller per field.
React Router v8: boring, but good
React Status #479: React Router v8 as an intentionally boring release, Rust React Compiler port, RN 0.86, TypeScript 7 RC, and React ecosystem news.
TypeScript 7.0 RC: Go-based compiler and up to 10× speed
Microsoft shipped TypeScript 7.0 RC on a new Go foundation: 6.0 compatibility, parallel builds, @typescript/typescript6 side-by-side, and a rebuilt --watch.
React 19: concurrent rendering, Actions, and Suspense in production
Deep dive into React 19 concurrent rendering: urgent vs transition updates, useTransition, useOptimistic, and Suspense boundaries without blocking the UI.
Biome vs Oxlint in 2026: Replacing ESLint
Rust-powered linters run 50–100× faster than ESLint, but choosing Biome or Oxlint depends on custom plugins, type-checking, and whether you want one tool instead of ESLint plus Prettier.
GitHub Opened a Multilingual Repositories Dataset for AI
80M+ classification rows across 40M public repos — README, issue, and PR language signals under CC0 for evaluating multilingual developer AI tools.
How the Modern Web Works: From Browser to Database
The full HTTP request journey — DNS, TLS, CDN, load balancer, Nginx, backend, Redis, queues, PostgreSQL, and back to the browser. A practical guide for developers and architects.
Zero-JS was not enough: edge-caching SSR HTML on Cloudflare Workers
How the author stabilized Core Web Vitals after dropping React: Cache API, cookie-gated HTML, removing Zod from the browser, and refactoring Astro forms.
The new SDLC: vibe coding vs agentic engineering
A senior dev's honest take: Agent = Model + Scaffold, context engineering, the factory model, and why vibe coding does not scale past prototypes.
How to Design a Modern ERP System in 2026: From Monolith to Platform
Metadata Driven Architecture, platform engines, frontend stack, and migration strategy — how to build an ERP that evolves for decades without a rewrite every five years.
npm and pnpm Introduce Staged Package Publishing
Staged publishing lets you upload to the registry, verify, then promote — reducing supply-chain blast radius. Plus pnpm 11.3 trustLockfile and npm 12 prerelease.
Six Laravel performance lessons from real client projects
Eloquent abuse, missing indexes, cache, code structure, and client communication — what actually slows Laravel apps down.
How to Design a System That Will Last 10 Years
Why systems die from early architectural decisions, not outdated tech — and how to design for change, not features: module boundaries, domain modeling, data, ADRs, and a decade-long checklist.
Five container runtimes: when runc is not the answer
runc, gVisor, Kata, Firecracker, and WASM on one Go service — cold start, memory, and threat-model fit.
Why a million Rust coroutines weigh less than 100k Python ones
async fn becomes a state machine everywhere — but Rust puts it on the stack while CPython puts it on the heap. Memory benchmarks and practice.
What CSS is still missing in 2026
State of CSS, layout gaps, centering, declarative partial updates, and how AI reshapes site value.
layercache: stopping cache stampedes in Node.js
L1 + Redis, single-flight, and graceful degradation — layercache benchmarks against thundering herds.
Why EAV Looks Like a Good Idea — Then Destroys ERP Performance
Entity–Attribute–Value looks perfect at the start: flexibility without migrations. Why JOINs, indexes, and reports break ERP years later — and where EAV fits, and where it does not.
Smart document registry: free Google Drive OCR and Gemini quota tricks
Google Apps Script, hidden Drive OCR, Gemini key rotation, and LockService — a Habr pipeline for cataloging huge archives.
Extend UI — open-source React components for PDF, DOCX, and e-sign
14 MIT-licensed components from extend.ai: document viewers, bounding box citations, file upload, and e-signature.
The Most Expensive Mistake in ERP Architecture — Trying to Make the System Universal
Why the illusion of universality turns ERP into an EAV monster: lost performance, typing, and business meaning — and how to build around the domain, not abstract entities.
Vue 3: reactivity and Composition API pitfalls
ref vs reactive, destructuring traps, watchEffect loops, Teleport context — common Vue 3 mistakes from Dev.to.
Evolution of Web Application Architecture Over the Last 20 Years
From server-side rendering in 2005 to AI apps and edge computing: how web architectures changed, why past choices were not mistakes, and how to pick an approach in 2026.
Beyond the hype: how top engineering teams actually use AI
Platform9, Monday.com, and PlayStation on restructuring the SDLC around AI, orchestration engineers, and review bottlenecks.
DeepSeek V4 Pro beats GPT-5.5 Pro on precision
Head-to-head on schema and instruction tasks: DeepSeek 38–33, one regex vs split patterns, fewer unsolicited extras.
The smallest brain you can build: a perceptron in Python
One input, weight and bias, training epochs, and a linear decision boundary — neural network fundamentals without frameworks.
Five products in one FastAPI monolith: HTMX, Telegram Mini App, and Stars
getdoday.ru: ~76k lines without React, themeParams and bot DNS pitfalls, Telegram Stars billing with entitlements.
React 19 Form Actions with FastAPI: server validation without duplication
useActionState + Pydantic: one schema, field-level errors, built-in isPending — roughly half the form code.
TypeScript path aliases in monorepos: Astro, React, and shared types
baseUrl, paths, and project references: @shared/types instead of ../../../ and silent build failures without workspace:*.
Why Most ERP Systems Turn Into Monolithic Monsters
The ERP success paradox: exceptions, technical debt, a single database, and the distributed monolith. Why the monster follows business growth and how to slow decay.
Genkit in Go: building AI apps beyond a single-prompt demo
Google Genkit for Go—structured outputs, multi-step flows, tools, observability, and model swaps without rewriting your logic.
The frontend knowledge gap AI won't close for you
Rendering, networks, component architecture, and Core Web Vitals—what button tutorials skip and production demands.
Why BullMQ beat in-API file conversion
Sync conversion in HTTP vs a Redis queue: p95 dropped from 800ms to 3.8ms, throughput rose 4.8×—plus the complexity trade-off.
Agile Terminology Explained: Story Points, Scrum, Sprint, Velocity, and Backlog in Plain Language
A practical guide to Scrum, sprints, backlog, user stories, story points, planning poker, and velocity — so modern IT team conversations stop sounding like a foreign language.
Evolution of Image Formats: From BMP to AVIF — A Developer's Complete Guide
History and practice: BMP, GIF, JPEG, PNG, WebP, HEIC, AVIF, and JPEG XL. How compression works, what to pick in 2026, and how to serve images without hurting LCP.
Database Optimization: Six Strategies That Cut Query Time by 60%
Profiling, indexes, ORM refactors, materialized views, connection pooling, and cache — a practical PostgreSQL and MySQL guide.
MamayLM v2.0: Ukrainian LLMs and the Free Mamay AI Chat
INSAIT released Gemma 3–based 12B and 27B models with Ukrainian support, multimodal features, and infrastructure hosted in Ukraine.
Three SQL Injection Patterns That Still Ship in Node.js
Concatenation, template literals, and innocent-looking sql variables — why reviews miss them and how eslint-plugin-pg catches them statically.
Node.js: Factory and Strategy for a cross-platform npm package
EADDRINUSE on Windows, macOS, and Linux without OS if/else chains. Strategy, Factory, TypeScript contracts, and shell-injection-safe runners.
DeepSeek V4 Flash vs GPT-4o: latency, cost, and hybrid routing
Dev.to benchmark: ~0.9s vs ~3.2s p99, order-of-magnitude API economics, and routing most traffic to a cheap model with premium fallback.
Post-mortem: how Firebase RTDB array coercion bricked a React frontend
Deleting one RTDB log entry returned an object instead of an array — white screen and items.map is not a function. Client-side normalization fixes it.
Sandbox security for agentic AI: Docker, microVMs, and CVE-2026-31431
40% of teams cite security as the top barrier to scaling agentic AI. Docker Sandboxes, Engine hardening, and governance for autonomous code.
JavaScript performance: 8 fixes that actually matter in 2026
Measure first, then optimize: debounce, lazy load, Web Workers, bundle diet, and a quick-wins checklist.
Why JSON is becoming a bottleneck for AI agents — and ULMEN
Million-token context windows still move JSON between planner, tools, and memory. ULMEN LLM claims 44% fewer tokens in the author's tests.
A PostgreSQL-backed job queue in Go: the Swig example
Jobs table, row locks, JSONB payloads, LISTEN/NOTIFY, and goroutine workers — no Redis if Postgres is already in your stack.
Near-instant Next.js: a practical App Router checklist
Server Components by default, less client JS, next/image, no CLS, caching, next/script, and measuring on throttled mobile—not your laptop.
react-native-qr-camera-pro: a native QR/barcode scanner for New Architecture
Swift/Kotlin, TurboModules and Fabric, BarcodeThrottler, and zero JS frame processing—a lean module instead of a heavy camera SDK.
AISO audit stuzhuk.page: how we reached 52→84 AI Readiness
Technical AISO cycle breakdown: canonical, JSON-LD, llms.txt, related posts, tag hubs. May 2026.
Build an AI Data Analyst That Needs No SQL
Natural language to SQL via LLM, in-process DuckDB, a three-stage pipeline, and read-only guardrails for safe analytics.
KLIP: localized distribution shift detection with diffusion priors
arXiv preprint: a KL-divergence metric between prior and posterior finds OOD patches in inverse problems without calibration data on shifted domains.
SEO, AEO, GEO & AISO in 2026: complete guide to AI search readiness
SEO, AEO, GEO & AISO in 2026: four visibility layers, crawler-ready SEO, answer blocks, brand Share of Voice, engineering stack, 90-min audit, 4-week plan, stuzhuk.page 52→84.
SPECTRA: synthetic IR collections to stress-test search before human labels
arXiv preprint: reproducible corpus generator up to 60k docs — near-linear speed, controlled distractors, BM25 nDCG@10 drops from 1.00 to 0.43 as noise grows.
SQLite Is All You Need for Durable Workflows
DBOS and Obelisk: local SQLite plus Litestream to S3 for workflow state; Postgres when you need HA and shared scale.
Stateful monitoring catches distributed agent attacks across accounts
arXiv preprint: attackers split harmful tasks across benign-looking sessions — clustering weak signals catches misuse ~30% earlier with negligible latency for most traffic.
Fast Client-Side Puzzle Solvers with Next.js and Web Workers
Next.js static export, Web Workers for heavy algorithms, bitboards for Block Blast, trie for word search — $0 hosting.
Information Gain: how to audit a page before AEO and GEO
Semantic novelty vs the TOP 10: a practical content audit for AI search. Q2 2026.
Semantic layer between storage and BI: why AI analytics needs it
Metrics Layer / Headless BI as an executable contract for metrics—not a data catalog—and why LLMs should not invent SQL on their own.
AEO: content structure for AI Overviews and answer engines
Question H2 + 40–60 word answers, lists, tables, FAQ — Answer Engine Optimization format. Q2 2026.
Governed evolution of agent runtimes: code as durable operational memory
Preprint on HarnessMutation—how multi-agent systems can adapt runtime artifacts with validation, tracing, and rollback instead of chaotic self-modification.
Algorithmic monocultures in hiring: when the same vendor rejects millions
FAccT 2026 study of 3M applicants and one screening vendor—racial adverse impact and 4% all-reject outcomes across ten jobs.
2-ASP(Q) with weak constraints: complexity and Casper implementation
A quantified ASP fragment for optimization up to Δ₃ᵖ—tight complexity results plus CEGAR in the Casper system.
Chartographer: counterfactual charts to stress-test VLMs
Same question, different chart data—surfacing when models answered from priors instead of visual reasoning.
GENESIS: AI agents for 6G RAN—from specs to over-the-air validation
An agent framework turns intents into RAN solutions validated OTA, with SYNAPSE as ground truth—addressing LLM API hallucinations and sim-to-real gaps.
GEO: monitoring Share of Voice in ChatGPT and Perplexity
Prompt pools, bulk runs, SoV, Sentiment, and Accuracy for Generative Engine Optimization. Q2 2026.
Maat: a competition-law research agent with RAG and official citations
A ReAct agent with tools beats general chatbots on merger/case tasks—RAG, web fallback, and clarifying questions.
MATCHA: an LLM eval metric that penalizes contradictions, not just overlap
ROUGE and BERTScore can score opposite texts alike. MATCHA adds counterfactual contradiction penalties—up to ~20% better human agreement.
Node.js and banning AI code in core: the 19,000-line debate
A huge model-written PR, CLAs, and maintainer burnout — not «anti-AI», but review process for critical infrastructure.
Open WebUI on Ubuntu: Docker Compose and HTTPS with Traefik
Your own ChatGPT-style UI for Ollama and OpenAI-compatible APIs — a step-by-step deploy with Let's Encrypt.
When eyes betray AI: social gaze consistency for synthetic image detection
Gaze coherence between people in a scene is a semantic detection axis orthogonal to pixels—+3.7 pp on COCOAI Interaction in the paper.
llms.txt: what it is for and what not to promise
An honest take on llms.txt in AISO: agent site map vs GEO citation myths. Q2 2026.
Validating environment variables in TypeScript
A schema for .env, CI checks, and generated types — catch PORT=abc and empty API_KEY before deploy.
React.lazy and the blank screen after deploy
Stale HTML in the tab, new bundle on the CDN — chunk missing. A global listener and cache-bust in ~15 lines.
robots.txt: Allow rules for GPTBot, ClaudeBot, and PerplexityBot
Practical guide to robots.txt for AI crawlers: GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, Google vs Yandex split, Allow/Disallow, post-deploy checklist, and AISO linkage. Q2 2026.
Why transcription alone fails clinical AI in healthcare
Whisper + LLM summary breaks in real practice: healthcare needs clinical reasoning engines and EMR integration, not plain text.
Antigravity 2.0: a $1000 OS built by 93 AI agents in 12 hours
Google I/O Writing Challenge: multi-agent orchestration assembled an OS core with no hand-written code — and shifts the developer role.
Cross-document View Transitions: gotchas without a framework
Deprecated meta tags, @view-transition { navigation: auto }, a 4s timeout, and pageswap/pagereveal—what many tutorials skip.
Python vector databases: what breaks after the notebook
Chroma, Pinecone, Qdrant, Weaviate—not QPS charts, but packaging, API stability, and the path from dev to production.
JWT in Node.js: five mistakes that break your API
Base64 is not encryption, alg=none, weak secrets, and refresh without rotation — a pre-production checklist for JWT auth.
npm supply chain attacks: hardening installs at project level
ignore-scripts, npm ci, provenance, and lockfile review—layered defenses when node_modules holds thousands of transitive packages.
Docker as a safety net for AI-generated frontend code
Copilot/Cursor code compiles but breaks in the browser — why to run the app and Playwright/Cypress in one compose stack.
7 hidden security risks in Node.js applications
ReDoS, npm supply chain, prototype pollution, secrets in env, and NoSQL injection — a checklist teams often skip after a fast deploy.
10 facts about UX ROI: design is a business lever, not decoration
Speed, first impressions in ~50 ms, cost of fixes before launch — numbers from Smashing Magazine for talking to stakeholders.
The HTML `<install>` element: PWA install without JavaScript
Chrome and Edge are testing a native install button for web apps — simpler than manifest plus custom JS alone.
Bulletproof React: taming frontend chaos in production apps
Feature-based folders, four state types, and ESLint boundaries — a practical look at the Bulletproof React approach for production teams.
React stack 2026: a map of libraries by category
Vite, Next.js, Zustand, TanStack, shadcn/ui — what to pick in 2026 instead of a 2022 stack and why the defaults shifted.
Shrinking a 3 GB SQLite dictionary to ~10 MB with an FST
The tsk case: finite state transducers in Rust, shared Finnish suffixes, and why SQLite FTS was only a stepping stone.
Chrome Prompt API: run Gemini Nano locally from JavaScript
LanguageModel.create() with no server or API key—limits, ~4K context, and why a hosted LLM fallback is mandatory.
Svelte May 2026: TypeScript 6, remote functions, CLI plugins
SvelteKit 2.56—field.as() for forms, a breaking remote query refresh change, experimental community plugins, ThoughtWorks Radar.
Snyk vs Checkov 2.3 for Terraform 1.9: what the benchmark shows
Across 127 modules Checkov reported ~20% more misconfigurations and scanned faster—yet Snyk wins on PR integration simplicity.
MDN rebuilds its frontend with web components instead of a React wrapper
How MDN moved from a React SPA shell to Lit, server components, and interactive islands—and why content sites should care.
JavaScript backends: the full-stack tax
Node.js vs Go/Rust throughput and memory, npm risk, and when a single language stack still wins.
CSS 2026: what the browser can do instead of JavaScript
Frontend Focus roundup: Grid Lanes in Safari, anchor positioning, sticky headers in pure CSS—and where native features still lose to JS.
TypeScript 6.0, Next.js 16.2, and Node.js debates on AI-written code
JavaScript Weekly #778: strict by default, types=[], TS 7.0 prep; faster Next.js 16.2; Node.js nine CVEs and pushback on AI commits.
tRPC in 2026: full-stack TypeScript without the boilerplate
Shared types end-to-end, Zod validation, request batching — and when tRPC is the wrong tool.
From Next.js to Astro: when a blog does not need client-side React
A developer moved a portfolio from Next.js 15 to Astro 6: ~230 KB JS per post page became ~0 KB; Lighthouse 99–100.
TG Unblock: bypassing Telegram restrictions with Rust and WebSocket
Open-source desktop app wraps MTProto in HTTPS to web.telegram.org — no VPN, servers, or subscription. ~6 MB, one click.
Next.js deploys without 502: PM2 reload vs Kubernetes
Zero-downtime on a VPS: cluster mode, reload not restart, and why you should not delete .next mid-deploy.
A modern React stack: Vite, Tailwind, i18next, and TanStack Router
Step-by-step setup without dependency chaos—routing, styling, and i18n in one minimal but production-ready scaffold.
QA in 24 hours: an autonomous AI agent instead of manual regression
RankCaster AI built an autonomous tester with Claude Code, agent-browser, and read-only psql — regression dropped from 48 hours to 40 minutes.