LLM Development

Proven patterns for building software with AI assistance

Learn the methodology that enabled developers to achieve 3-11 PRs/day sustained velocity. This site distills insights from analyzing 334+ PRs across real-world projects into actionable practices you can apply immediately.

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The Methodology

This site teaches a proven approach for AI-assisted development:

  1. Foundation First: Use AI to create README + VISION (1 hour)
  2. Tiny MVP: Have AI build minimal working kernel (2-4 hours)
  3. Rapid Iteration: Add features incrementally with specific prompts
  4. Regular Consolidation: Maintain quality every 10-15 PRs

Results: 3-11 PRs/day, 1-3 commits per PR, production-ready in weeks

Why This Works

Every practice on this site is proven by real-world results:

What You’ll Learn

This site provides:

Evidence-Based Approach

All recommendations come from systematic analysis of real repositories:

Read full case studies in the llmdev repository if you want to see the detailed analysis behind these practices.

Get Started

Ready to build with AI using proven patterns?

Start here: Getting Started - Learn how to use AI to create your foundation (README, VISION, MVP) in hours, not days.

Then explore:


All practices validated by analyzing dikuclient (63 PRs, 18 days), DikuMUD (165 PRs, 15 days), morpheum (76 PRs, 37 days), and diku (30 issues, 5 days). Case studies available in the llmdev repository.