Blog

Anthropic's frontend-design, Emil Kowalski's design skill, Taste Skill, and Impeccable give AI agents the taste to ship interfaces that actually stand out.

Claude Code plugins extend your agent with skills, agents, hooks, and MCP servers — packaged and distributed through marketplaces. Here's how they work and how to use them.

Superpowers is an open-source plugin that injects structured development skills — TDD, debugging, planning, code review — into Claude Code and other AI agents. Here's how it works.

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.

A hands-on guide to 10 tools that cut Claude Code token usage by 40–98%. Covers installation, usage, and when to use each one.

A hands-on guide to installing RTK, wiring it to Claude Code in minutes, and immediately slashing the token cost of every git, test, and file command you run.

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.

Spec-driven development is the antidote to vibe coding. Learn what it is, how GitHub's Spec Kit operationalizes it with slash commands and artifacts, and whether it's worth the overhead.

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 and execute custom prompts in VS Code using the .github/prompts folder for faster, more consistent AI interactions.

Master terminal productivity with keyboard shortcuts, aliases, and automation. Learn why the mouse doesn't belong in your terminal and how to work efficiently.

Master efficient window management with Rectangle, Raycast, and AltTab. Transform your desktop workflow from dragging windows to instant alignment and navigation.

Master GitHub Copilot with strategic prompting and context management. Learn how to guide AI assistance effectively and make Copilot work for you and not against you.

Learn how to create AI agents that understand your entire codebase using Repomix and GitHub Copilot. Build intelligent assistants for your development team.

Master VSCode shortcuts and build muscle memory for efficient coding. Learn essential shortcuts, customization techniques, and how to think in actions, not keys.

Master VSCode navigation with precision. Learn to move between editor zones, manage tabs efficiently, and navigate files like a pro developer.

Avoid these common pitfalls when using GitHub Copilot. Learn how to write better prompts, review AI suggestions critically, and iterate effectively for better code quality.