Your project is on the ACMM Leaderboard — see your AI-readiness score

Hi! 👋 Your project currently appears on the [ACMM Leaderboard](https://kubestellar.io/en/acmm-leaderboard) — a public ranking of **289 CNCF & cloud-native projects** scored by the [AI Codebase Maturity Model](https://arxiv.org/abs/2604.09388), a 5-level framework (L1 Assisted → L5 Self-Sustaining) that measures how ready a codebase is for AI-assisted engineering. ### See your full scan 👉 [console.kubestellar.io/acmm?repo=cartography-cncf/cartography](https://console.kubestellar.io/acmm?repo=cartography-cncf%2Fcartography&utm_source=github&utm_medium=issue&utm_campaign=acmm-outreach) The dashboard shows every detected vs. missing criterion, with an **"Ask agent for help"** button that launches an AI mission to add any missing one. ### Add a badge to your README Paste this in your README to show your ACMM level — it updates automatically as you add criteria: ```markdown [](https://console.kubestellar.io/acmm?repo=cartography-cncf%2Fcartography&utm_source=github&utm_medium=badge&utm_campaign=acmm-outreach) ``` ### Why it matters Projects with higher ACMM scores get measurably better AI-assisted PRs because the agent has rules, tests, and metrics to work against. The badge signals to contributors (and AI agents) how much scaffolding is in place — a way for smaller projects to compete on AI-readiness without needing massive contributor counts. ### The leaderboard See where you rank among 289 projects: [kubestellar.io/en/acmm-leaderboard](https://kubestellar.io/en/acmm-leaderboard) Paper: [arxiv.org/abs/2604.09388](https://arxiv.org/abs/2604.09388)