Your AI coding assistant is only as good as the context you give it. These templates fix that.
The models aren't dumb. They just don't know your project's conventions, your weird edge cases, or that one file you never touch. Context engineering solves that gap. Developers who nail it ship faster. Everyone else spends 30 minutes correcting AI output that "technically works" but looks nothing like their codebase.
These templates are free. Use them, fork them, make them yours.
| Template | What it does |
|---|---|
| CLAUDE.md Starter | Drop-in project context file. Every section explained. |
| Cursor Rules Basic | The .cursorrules template you'll actually customize. |
| PRP: Feature Template | Write a prompt that gets 90%+ accuracy on first try. |
Five paid packs that go deeper:
- Cursor Rules Complete Bundle — 3 .cursor/rules/*.mdc files with glob-based activation. Different rules for API routes, database files, and tests. Auto-applied per file type.
- PRP Template Library — Feature, Bug Fix, Refactor, and Integration prompts. Pre-built sections for error handling, API integration, and rollback.
- Multi-Agent Config Pack — Templates for running parallel AI agents on the same codebase without stepping on each other.
- AGENTS.md Template — The emerging standard for repos that want agents to understand their project structure.
- CLAUDE.md Advanced — Architecture patterns, testing conventions, gotchas, CI/CD rules. 10+ sections beyond the free version.
→ Get the Premium Bundle (link coming when Gumroad is live)
57% of enterprises run AI coding agents in production (LangChain 2026). The ones getting real results aren't using better models. They're giving their models better context.
Here's what actually happens with bad context: the AI writes code that technically solves the problem but violates your patterns, uses the wrong import style, or skips error handling because it didn't know your project requires it. You spend half an hour fixing what should've taken 30 seconds.
Good context flips that. Your AI writes code that looks like your senior dev wrote it. Same patterns. Same naming. Same edge case handling. That's the difference between "AI is kinda useful" and "AI is a 10x multiplier."
Pick the template that matches your tool. Fill in the [brackets] with your project specifics. Delete sections that don't apply. Drop it in your repo root.
Your AI assistant picks it up automatically on the next session.
ai-coding claude-code cursor context-engineering prompt-engineering developer-tools ai-agents