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Practical guides on the tools developers use every day — JSON, regex, JWT, cron, and more.
9 posts matching
Learn where AI coding agents still fail in real workflows, and how to work around their blind spots with concrete commands and configs.
Learn a structured prompt that turns AI coding assistants into safe, reviewable contributors to your production codebase.
Learn to build a coding agent with a minimal loop, tools, and permissions. Includes runnable code and CLI examples.
Learn how to give an AI agent a GitHub repo and have it fix a bug, with a reproducible setup, commands, and troubleshooting.
I ran four AI models on realistic coding tasks and measured correctness, speed, and cost. Here is what actually happened.
Compare Gemini 3.6 Flash and Claude Sonnet 5 on coding, agent reliability, latency, cost per task, and ecosystem to pick your default.
Learn why OpenAI, Anthropic, and Google are shipping agent platforms in 2026 and what developers must know about tools, permissions, and observability.
See how the AI model race moved from chatbot demos to agentic evals, and what developers should actually measure before picking a model.
Learn which local dev tools an AI coding agent can replace, which it should not, and how to set it up safely and effectively.