Classic specs were written for humans.

When a developer hits ambiguity — they ask for clarification. An AI agent? It confidently fills the gap from training data. Sometimes correctly. Often not. That’s the exact problem ANSS solves. ANSS (AI-Native System Specification Standard) is an open standard I built while working on real projects — Solo Founder OS and LombardPro. It adds several mechanisms designed specifically for agents:

Invariants — hard, machine-checkable constraints the agent must never break [A] Layer — explicit AI-only instructions (read first) Agent Review — the agent audits the spec before writing any code Change Specification — clear rules for modifications that protect existing functionality

Result: iteration cycles dropped from 5–7 to 2–3. Today I updated the README with a new section “Already have a spec? Start here” — 4 practical scenarios for converting existing PRDs, TZs or rough drafts into ANSS. If you’re building with AI agents (Claude Code, Cursor, Aider, etc.) and tired of re-explaining the same things every time — worth checking out. Open source. No pitch.

→ github.com/Kholomyanskiy/anss-standard

#AIAgents #SoftwareSpecification #PromptEngineering #OpenSource