AI-Powered Development
2,500+
commits
across projects
across projects
300K+
lines of
production code
production code
5
concurrent
projects
projects
Q4 2025
AI-first
since
since
Challenge
Scaling development output across 5 concurrent production projects while maintaining code quality and architectural coherence. Transitioning from traditional development to a fully AI-driven workflow where virtually all code is AI-co-authored.
Approach
AI-first toolchain with Claude Code (Opus) as primary development environment, GitHub Copilot for inline completions, and ChatGPT for research and planning. Structured 3-participant review cycle: Claude AI designs, Claude Code implements, human verifies.
Custom AI-native PM system with 20 commands and 7 agents automating the full software development lifecycle — from task specification through implementation, code review, and quality audits.
Results
- 2,500+ commits across 5 concurrent projects
- ~300K lines of production code, virtually all AI-co-authored
- AI-first since Q4 2025 — full workflow transformation
- Custom PM automation: 20 commands, 7 agents, Expert Review Panels
- Consistent code quality across all projects via structured AI review
Key Insight
“AI doesn’t replace engineering judgment — it amplifies it. The shift isn’t about writing code faster — it’s about running more projects at higher quality simultaneously.”
Interested in AI-powered development?
Let’s discuss how AI can amplify your engineering output.