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A wrong label or unfair grader can make your LLM app look better than it is. See how Claude Code's build-eval finds these problems in your eval.
See what our PyTorch year in review covers: a CPython-faithful Dynamo, Python 3.15 on day one, fused linear cross-entropy, MPS ops and a new build backend.
See how JupyterLab made visual regression testing reproducible on Linux machines, cut CI from 55 to 15 minutes and let contributors update snapshots.
AGENTS.md
Use lint rules for AI agents to enforce project conventions. Custom ESLint rules like @jupyter/eslint-plugin give agents clear errors they can fix on their own.
We benchmarked TypeSafe's Jev, Laya, CLM-8B and Claude Haiku on five package-curation triage tasks. A fine-tuned 421M model matched Jev at a tenth of the latency.
Find the right Jupyter AI extension: a curated map of 100+ chat panels, inline completers, agent bridges and MCP servers for JupyterLab and Notebook 7.
I tested LLM reviewer models on meeting summaries to see when they catch hallucinations, when they delete true claims, and how to choose one.
Far too many AI code review comments are noise. Pair a human editor with AI, surface only the findings that matter, and encode that discipline in a reusable skill.
AI is stochastic, not deterministic. You don't drive it, you ride it: make documents the memory, use the variation to prototype, and verify every public claim.
Learn why your code's audience decides how much readability matters, as an engineering team debates AI-written code, review, and accountability.
Compare three Python tools for PDF table extraction: Docling, Marker, and LlamaParse. Learn which handles merged cells and multi-level headers best.
Learn how we integrated AI into Plugin Playground to help you create, edit, test, package, and share JupyterLab plugins faster in JupyterLite and Binder.
Practical lessons for shipping better code, staying in control, keeping your skills sharp, and getting real value from AI coding tools without losing yourself in the hype.
When does a Claude Code skill stop being enough? See why credential security pushes real workflows toward proper agent architectures.