How AI-Agent-Friendly Is Your Codebase Foundation?
A scored profile of whether your foundational architecture, conventions, and primitives accelerate AI agents — or fight them.
- 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.
Most teams asking 'are we ready for AI agents in our codebase?' look at the wrong layer. They look at code health — test coverage, lint warnings, dependency freshness — and miss the foundation underneath. The thing that actually determines whether AI agents accelerate your team or fight your team is the bones: do you have reusable primitives for the common app areas, is layering clear enough that an agent knows where a new piece of code goes, are conventions dense enough that an agent can pattern-match the next feature from existing code, do public interfaces stay still long enough to build against, and is the dev loop fast enough for an agent to iterate?
This free assessment scores your codebase across six foundational dimensions and returns a clear agent-readiness profile in about six minutes. It's built from 27 years of technology leadership across Fortune 500 and growth-stage companies — the same lens a fractional CTO would bring to a foundation review.
What the foundation assessment measures
Foundation readiness is a profile, not a single number. The assessment scores six dimensions independently so you can see exactly where the bones are strong and where they aren't: Primitive Coverage (do reusable building blocks exist for the common app areas), Layering & Separation (does an agent know where new code goes), Convention Density (are conventions explicit and consistently enforced), Interface Stability (do public contracts stay still long enough to build against), Build/Dev Loop Velocity (how fast does a change reach feedback), and Onboarding Velocity (could an agent ship a real feature in its first hour). The final question maps the specific foundational areas where a refactor would pay off first.
Why the foundation matters before the fleet
Teams that point AI agents at a weak foundation spend their first months proving the obvious: that an agent in an ambiguous codebase produces ambiguous code. The teams that compound real productivity gains treat the foundation as the first deliverable — they fix primitives, tighten layering, and document conventions before scaling agent throughput. A foundation profile turns 'we should use more AI' into a sequenced refactor plan, and it tells you whether the constraint is your codebase, your conventions, your contracts, or your loops.
What you get at the end
You'll see an overall foundation score, a band that describes where you stand (from Agent-Hostile through Agent-Native), a per-dimension breakdown, and a map of the foundational areas most worth refactoring first. From there you can request a personalized video walkthrough — a short, recorded read on your specific results and what a foundation-focused fractional CTO engagement would do for your situation. No generic sales deck.
Frequently asked questions
What is a codebase foundation assessment?
A codebase foundation assessment is a structured evaluation of whether the bones of your codebase — primitives, layering, conventions, interfaces, and dev loops — accelerate AI-agent-driven development or fight it. It looks past surface code health at the architectural patterns that decide whether an agent can be productive in your repo.
How is this different from a regular code review or a code-health assessment?
Code reviews look at specific changes. Code-health assessments look at the current state of the existing code — coverage, churn, complexity. This assessment looks underneath both, at the foundational architecture and primitives that decide how fast new work can move. Two codebases with identical health scores can have very different foundations.
How long does the assessment take?
About six minutes. It's 18 scored questions across six dimensions plus a foundation-gap mapping 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, engineering leaders, and founders weighing how aggressively to lean into AI-assisted development — and wanting a clear-eyed read on whether their codebase will accelerate or sabotage that bet.
What happens after I get my score?
You'll see a full foundation profile with per-dimension scores and your top refactor opportunities. If you'd like, you can share a few details and receive a personalized video walkthrough explaining your results and what a fractional CTO would prioritize for your specific situation.