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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.
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.
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.
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.
A senior dev's honest take: Agent = Model + Scaffold, context engineering, the factory model, and why vibe coding does not scale past prototypes.
Google Apps Script, hidden Drive OCR, Gemini key rotation, and LockService — a Habr pipeline for cataloging huge archives.
Platform9, Monday.com, and PlayStation on restructuring the SDLC around AI, orchestration engineers, and review bottlenecks.
Million-token context windows still move JSON between planner, tools, and memory. ULMEN LLM claims 44% fewer tokens in the author's tests.
Preprint on HarnessMutation—how multi-agent systems can adapt runtime artifacts with validation, tracing, and rollback instead of chaotic self-modification.
Your own ChatGPT-style UI for Ollama and OpenAI-compatible APIs — a step-by-step deploy with Let's Encrypt.
Google I/O Writing Challenge: multi-agent orchestration assembled an OS core with no hand-written code — and shifts the developer role.
Copilot/Cursor code compiles but breaks in the browser — why to run the app and Playwright/Cypress in one compose stack.