Articles tagged "Context Engineering"
Git worktrees let you check out multiple branches simultaneously in separate directories. For AI agents running in parallel, they're not a nice-to-have — they're the only way to avoid chaos.
Harness engineering is the complete environment you build around an AI model — tools, constraints, feedback loops, and context. Learn what it is, how it differs from prompt and context engineering, and how to start building one.
Most teams are not bad at giving AI context. They're bad at putting the right context in the right layer. Here's a practical, architecture-aware framework for AGENTS.md, repo-wide instructions, and path-specific overrides.
Learn how VS Code Copilot hooks let you run shell commands at key agent lifecycle points — block dangerous operations, auto-format code, inject context, and build audit trails.
Learn how to use WebMCP to expose structured tools from your website to in-browser AI agents. Set up Chrome Canary, implement declarative and imperative APIs, and build agent-aware forms — no MCP server required.
Deep dive into Agent Skills best practices, real-world patterns, editor conventions, npm-like installation workflows, and security considerations for building production-ready AI workflows.
Learn the fundamentals of Agent Skills — how SKILL.md files work, the progressive disclosure model, and when to use skills vs. rules for your AI coding assistant.
Learn how to create AI agents that understand your entire codebase using Repomix and GitHub Copilot. Build intelligent assistants for your development team.