Your team ships 2-3x more code with AI tools like Claude Code, Copilot, or Cursor. Traditional metrics weren't designed for this. Projcity connects GitHub + Shortcut to reveal what volume metrics miss: • Are reviews keeping pace or becoming bottlenecks? • Are massive AI PRs getting rubber-stamped? • Is velocity masking quality decay? Detect bottlenecks, burnout, and quality issues before they delay delivery or lose talent. Metrics + knowledge is power. Metrics alone are just noise.
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Hey Product Hunt!
I'm Artur, founder of Projcity.
I originally built this as a personal project because I needed a better way to lead my own team. I realized that while I had plenty of data, I lacked a clear picture of what was actually happening under the hood.
Projcity helped me spot bottlenecks and burnout signs I completely missed. No more gut-feeling, all decisions backed by metrics + knowledge.
Then the AI era hit. My team started using Claude Code and Copilot. We shipped 2-3x more PRs. Velocity looked amazing. But code reviews were drowning, PRs were massive, and developers admitted they were approving AI code they didn't fully understand.
I realized the metrics that mattered had fundamentally changed:
• Review bottlenecks became the new constraint (time-to-first-review spiked 3x)
• PR size explosion (AI PRs 2-3x larger than human PRs)
• Quality decay hiding behind velocity wins (bug ratio creeping up)
So we're evolving. Our roadmap now includes direct Claude/Copilot/Cursor API integrations to measure token usage, calculate ROI, and understand which tasks benefit most from AI acceleration.
It's not about replacing leadership intuition, it's about giving it a foundation for how teams actually work today.
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