AI writes code faster than ever. It also scales your technical debt faster than ever.
We just launched the CodeScene CodeHealth MCP on Product Hunt today and I wanted to share the core insight that drove us to build it.
AI coding agents are incredible accelerators. But here's what the research shows (and most people aren't talking about):
AI increases defect risk by 60%+ when working in unhealthy code
In low-health codebases, AI wastes 35 to 50% more tokens just navigating the mess
Most codebases aren't even close to AI-ready
AI doesn't make technical debt less important. It makes it critical.
So we built an MCP server that plugs code health directly into your AI workflow, whether you're using Cursor, Claude, Copilot, or any other agent. It lets your AI auto-review generated code before it becomes a problem, safeguard maintainability, and help lift unhealthy code so it's actually AI-ready. All of this is grounded in CodeScene's validated CodeHealth score, a deterministic measure that gives your AI unambiguous, research-backed signals rather than vibes.
Generating code fast is easy. Healthy systems at AI speed is the real challenge.
Would love feedback from this community, especially if you've felt the pain of vibe-coding your way into a mess. π
π Check out our launch
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