Agentic Codebase Readiness Audit
We map your codebase against what actually makes it AI-coding-ready — module boundaries, test coverage, type strictness, docs, CLAUDE.md / rules files, and MCP potential — and quantify how far off you are.
- Outcome
- A scored report + prioritized remediation roadmap
- Timeline
- 2–3 weeks
- Pricing
- $10–25k audit (often leads to remediation)
- Buyer
- VP Eng, Head of Platform
The problem
Every engineering leader suspects their codebase isn’t ready for agentic development, but can’t quantify how bad it is or where to start. So the AI-coding rollout stalls on vibes.
What we do
- Score module boundaries, test coverage, type strictness, and doc quality.
- Check for CLAUDE.md / rules files, spec coverage, and MCP integration potential.
- Map where agents will succeed today vs. where they’ll thrash and burn tokens.
- Prioritize remediation by impact so the first fixes unlock the most agent leverage.
What you get
01A scored readiness report across every dimension that matters
02A prioritized, effort-estimated remediation roadmap
03Quick wins your team can apply immediately
04A clear go/no-go on which workflows to standardize first
Built on our open source
openclawOS — An OS-like architecture for AI assistants — a kernel-based design with process-isolated apps.
Let’s scope it on a call
Thirty minutes with an engineer. We’ll tell you straight whether this is the right first move for your team.