A practical cheatsheet for getting reliable JSON out of LLMs: JSON mode vs. structured outputs vs. strict tool use, the JSON Schema subset providers accept, Pydantic patterns, how constrained...
A practical cheatsheet for engineering managers redesigning a technical interview loop now that candidates use AI assistants: AI-allowed vs. AI-prohibited stages, what published companies do,...
Model Context Protocol (MCP) is an open standard by Anthropic that gives AI assistants a clean, universal way to connect to tools, data sources, and services. This article explains the...
A practical cheatsheet for AGENTS.md: what it is, where the files go and which one wins, what to put in and leave out, a realistic example, a monorepo layout, how Codex, Copilot, Cursor, Gemini...
This article provides a concise reference for evaluating multi-step AI agents and agentic systems. It covers core metrics for task completion, reasoning, and efficiency, and highlights recent...