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

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=pipe-cd/pipecd

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%3Dpipe-cd%2Fpipecd)](https://console.kubestellar.io/acmm?repo=pipe-cd%2Fpipecd&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

The issue names no source file or test and is promotional rather than an implementation request. If treated as documentation work, start by reviewing README.md and determine whether the proposed ACMM badge belongs there; done would require a clear maintainer decision and any agreed README change.