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.
Stuzhuk Lab — Chemistry of Code
Chemistry of Code
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DevTools
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.