Is Your Codebase Ready for AI Coding Agents?
A scored profile of how productively AI code agents can work in your codebase — and the cleanup that unlocks 10x output.
- A scored profile across 6 dimensions — see exactly where you're strong and where the gaps are.
- Your biggest opportunities, mapped to specific next moves.
- A personalized video walkthrough from Shawn (optional) — a real read on your results.
Every CTO is asking the same question in 2026: is our codebase ready for AI coding agents? The honest answer rarely lives in a single benchmark — it lives in the boring fundamentals that decide whether an agent reads the code correctly, makes safe changes, and verifies its own work. Test coverage, type safety, module boundaries, documentation, dead code, magic numbers, the presence of a current CLAUDE.md or AGENTS.md — these are what separate codebases where agents deliver real throughput from codebases where agents produce confident-looking nonsense.
This free assessment scores your codebase across six dimensions and returns a clear AI code agent readiness profile in about six minutes. It's built from 27 years of leading engineering organizations and shipping production code with AI agents — the same lens a fractional CTO would bring to your first conversation about adopting them.
What the AI code agent readiness assessment measures
Agent productivity in a codebase isn't a single number — it's a profile. The assessment scores six dimensions independently so you can see exactly where you're strong and where the gaps are: Documentation & Context Files (can an agent read its way in without a human in the loop), Test Coverage & Behavioral Specs (can it verify its own changes), Type Safety & Static Analysis (does the compiler catch the mistakes it would otherwise ship), Module Boundaries & Naming (is the codebase composed of clean, named units), Dead Code & Cruft (how much of what it reads is misleading), and Tooling & Agent Compatibility (does it get fast, reliable feedback). The final question maps the cleanup areas that would unlock the biggest jump in agent productivity for your team.
Why agent readiness is the question of 2026
AI coding agents are now genuinely capable of taking a well-scoped task, reading the surrounding code, making the change, and verifying it — provided the codebase supports that loop. In a clean codebase they multiply engineering throughput; in a messy one they amplify the existing friction. That gap is widening fast, and the companies pulling ahead are the ones treating codebase readiness as the first engineering investment, not the last. The cleanup work pays off twice: once for the agents, and once for the humans who were already paying the same hidden tax.
What you get at the end
You'll see an overall AI code agent readiness score, a band that describes where you stand (from Agent-Hostile through Agent-Native), a per-dimension breakdown that shows your strongest and weakest dimensions, and a prioritized map of the cleanup that would most unlock agent productivity. From there you can request a personalized video walkthrough — a short, recorded read on your specific results and how a fractional CTO engagement would sequence the work. No generic sales deck.
Frequently asked questions
What makes a codebase ready for AI coding agents?
Six things, working together: current context files (CLAUDE.md / AGENTS.md), meaningful test coverage with fast feedback, strict type safety, clean module boundaries with consistent naming, low cruft (dead code, duplication, magic numbers), and tooling that produces clean, machine-readable signals. Where these are strong, AI agents multiply engineering throughput; where they're weak, agents produce confident-looking code that quietly breaks invariants no one wrote down.
How long does the assessment take?
About six minutes. It's 18 scored questions across six dimensions plus a final cleanup-priority question. Your progress auto-saves, so you can leave and resume without losing answers.
Is the assessment free?
Yes. The assessment and your scored results are completely free. You can optionally request a personalized video walkthrough of your results, which is also free.
Who is this assessment for?
It's built for CTOs, VPs of engineering, founders, and senior engineering leaders deciding how aggressively to adopt AI coding agents — and what to fix in the codebase before they do.
What happens after I get my score?
You'll see a full readiness profile with per-dimension scores and a prioritized list of the cleanup that would most unlock agents in your codebase. If you'd like, you can share a few details and receive a personalized video walkthrough explaining your results and how a fractional CTO would sequence the work for your specific situation.