Spec Kitty employee Lynn Cole filled a gap in the open source software incubator.

I built Spec Kitty 🐱📐 — a spec-driven development system that helps technical leaders ship AI-assisted software faster, safer, and with less rework. If you’re a CTO, CIO, CISO, CAIO, VP Engineering, Engineering Manager, Development Team Lead, or Software Design Manager, you’ve probably seen the same failure mode: Teams don’t struggle to write code. They struggle to preserve intent. Requirements get interpreted differently across product, design, engineering, QA, and security. Then AI enters the workflow and ambiguity scales into: * review churn * missed edge cases * scope drift * inconsistent architecture * unclear accountability * “it works” that still fails acceptance criteria Spec Kitty fixes that by making the specification the source of truth. Ambiguity is treated like a bug — before it hits your backlog. What Spec Kitty does Spec Kitty turns a rough idea into an explicit, testable, implementation-ready specification, then packages the work so teams (and AI) can execute without guessing. You get: * clear functional requirements with boundaries * acceptance criteria that QA and stakeholders can verify independently * edge cases named up front (not discovered in production) * traceability from business intent to spec to delivery artifacts * a workflow designed for governable AI development, not “vibe coding” Real-world result “We took a 10-day project and completed it in 1 day with Spec Kitty.” That speed-up doesn’t come from heroics. It comes from eliminating interpretation gaps and rework by aligning everyone on a spec that’s executable. Why leaders care CTO / VP Engineering: more predictable delivery, less rebuild, clearer ownership CIO: repeatable workflow, visibility across teams, operational alignment CISO: privacy-first posture, progressive sharing, auditability-ready workflows CAIO: scalable AI adoption with guardrails, not chaos Development team leaders: faster execution with fewer surprises and cleaner handoffs