Practical writing on AI agents, SDLC documentation automation, full-stack architecture, and product validation.
29 results
A practical design for keeping a full-screen WebGL background without making it part of the initial render: static fallback, capability gates, idle loading, visibility and accessibility handling, and policy tests.
A practical guide to AI agents: the difference between chatbots and agents, the plan-tool-observe-verify loop, how to build a first agent, and what MCP servers actually do.
A bilingual MDX post is more than two text files. This release-oriented workflow makes locale contracts, local assets, CI checks, and the immutable PR head explicit before content reaches production.
When coding agents become part of team operations, prompts are not enough. This guide shows how to connect traces, decision logs, evals, and regression checks into an improvement loop for AI-native development.
To use coding agents more often, teams do not need heavier supervision. They need clearer boundaries. This guide turns permissions, network access, worktrees, and CI gates into a practical sandbox operating model.
Claude Code, Codex, and other coding agents do not need longer prompts as much as they need better delegation packets. This practical guide shows how to define outcome, scope, permissions, verification, and stop conditions before handing work to an agent.