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

[clubanderson]

Hi! 👋

Your project currently appears on the ACMM Leaderboard — a public ranking of 289 CNCF & cloud-native projects scored by the AI Codebase Maturity Model, 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=devfile/api

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:

[![ACMM](https://img.shields.io/endpoint?url=https%3A%2F%2Fconsole.kubestellar.io%2Fapi%2Facmm%2Fbadge%3Frepo%3Ddevfile%2Fapi)](https://console.kubestellar.io/acmm?repo=devfile%2Fapi&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

Paper: arxiv.org/abs/2604.09388

[github-actions]

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