Free templates that teach AI coding assistants your project's patterns, conventions, and edge cases — so they write code like your team already does.
CLAUDE.md · Cursor Rules · PRP Prompts
You ask Claude or Cursor to write a function. It works, technically. But the imports are wrong, the error handling is missing, it used camelCase when your project uses snake_case, and it put the logic in the wrong file. You spend 20 minutes fixing what should've taken 30 seconds.
You keep telling the AI the same things: use our error wrapper, follow our import style, don't touch that file. It forgets between sessions.
The AI doesn't know you use repository pattern, or that your API layer has a specific middleware chain. It guesses wrong.
Senior devs report spending 30-50% of their "AI-assisted" time just fixing the AI's output to match their codebase.
Three templates that cover the most common AI coding tools. Fill in your project details, drop them in your repo root, done. Your AI assistant picks them up automatically on the next session.
A drop-in project context file for Claude Code. Every section explained with what to put there and why. Covers project structure, coding conventions, testing patterns, and common gotchas.
View template →The .cursorrules template you'll actually customize. Not 500 lines of generic rules — a focused template with the sections that matter, ready for your project.
View template →Write a prompt that gets 90%+ accuracy on first try. Structured sections for requirements, constraints, test cases, and edge cases. The format that actually works.
View template →Context engineering isn't complicated. It's about telling the AI what it needs to know before it starts writing code.
Choose the one that matches your tool. CLAUDE.md for Claude Code. .cursorrules for Cursor. PRP for any AI assistant.
Replace the [brackets] with your project specifics. What patterns do you use? What files should it avoid? What's your testing style?
Put it in your repo root. The AI reads it automatically. No configuration, no plugins, no setup beyond that.
Five packs that go deeper. Glob-based Cursor rules, multi-agent coordination, advanced CLAUDE.md patterns, and more.
Launching soon on Gumroad. Star the repo and watch for the release announcement.
Watch on GitHubare running AI coding agents in production (LangChain, 2026). The gap isn't the model — it's the context.
reported by developers who use structured context files vs. those who don't. The AI writes code that matches on first try.
Context engineering repos are getting 80-500+ stars. CLAUDE.md is becoming as standard as README.md for serious projects.
Three free templates. Five minutes to set up. Permanent improvement to every AI coding session after that.