Is Your Repo Ready for Claude Code? The 10-Minute AI Audit

The hype is real. Claude Code and Cline are changing the way we build. But if you've noticed your agent sometimes getting stuck in infinite loops or generating hallucinated fixes, the problem likely isn't the model—it's your repo.

AI agents are high-speed crawlers. If your codebase is a maze of deep import chains and inconsistent naming, you are charging your agent aNavigation Tax that slows it down and drains your token budget.

Here is how to perform a forensic audit of your repository's "Agentic Readiness" in under 10 minutes.

Step 1: Install the AIReady CLI

We built the @aiready/cli to be the standard tool for measuring signal clarity. Start by installing it globally:

Step 2: Run the Score Scan

This command performs a multi-dimensional analysis of your repo, looking at naming consistency, context fragmentation, and semantic duplication.

Tip: Look for a score above 80. If you are under 60, your agents are operating with a "blindfold" on.

Step 3: Analyze the Context Jumps

One of the biggest reasons agents fail is **Context Fragmentation**. This command identifies "God Files" and deep import chains that force the agent to read dozens of unnecessary files.

The Result: A Roadmap to 10x Velocity

Once you have your report, don't just ignore it. Follow ourDecoupling Guide to flatten your hierarchy and improve signal clarity.

A repo that is "Agentic Ready" doesn't just make your AI faster—it makes your human developers faster, too.

Want to dive deeper?
Read our series on The Agentic Wall or learn about the Economics of AI-Readiness.