Services · Diagnose

Can your codebase carry the systems you want to own?

AI-assisted development changes what good architecture looks like. We review your codebase and architecture, map technical debt and risk, evaluate how fluently your engineers work with AI, and deliver a modernization plan that makes both your stack and your team faster.

2–3 wk
Typical assessment
Code + team
Both get evaluated
1 roadmap
Sequenced modernization plan
The problem

Your stack was built for humans.
Your tools no longer are.

AI coding tools underperform on exactly the codebases that need them most: undocumented services, tangled dependencies, dead code, and tribal knowledge that lives in two engineers' heads. Agents inherit every one of those problems, and so does every new hire. Meanwhile "we use Copilot" is doing a lot of work in board updates that the velocity numbers do not back up.

Owning your systems only pays off if your team can extend them. The fix starts with an honest read of where you are: what in the architecture slows both humans and agents down, which debt actually matters, and how fluently your team really works with AI. Then a plan, in sequence.

What you get

A clear read on the stack, and the team.

Findings ranked by impact on velocity, not textbook purity. You leave knowing what to fix first, what to schedule, and what to leave alone.

01

Codebase and architecture review

We go through the code, the architecture, and the delivery pipeline, and score what we find by its impact on how fast your team can ship. Every finding lands in a register with a risk rating and a recommended move, so nothing stays a vague worry carried between quarters.

Scope an assessment →
  • Codebase and architecture review
  • Technical debt and risk register
  • Engineer AI-workflow fluency evaluation
  • Tooling and process recommendations
  • Modernization plan with sequencing
  • Readout with your engineering leadership
02

Engineer AI-fluency evaluation

Tool licenses do not equal capability. We evaluate how your engineers actually work with AI, where it speeds them up, where it is ignored, and where it produces code nobody trusts, then recommend what closes the gap: workflows, conventions, and training where it is warranted.

03

Modernization plan with sequencing

An ordered plan rather than a wish list. What to fix first for the biggest velocity gain, what to schedule for later, and what to deliberately leave alone because the return is not there. Each step sized so you can staff it internally or hand it to us.

Who it's for

Built for leaders who own engineering velocity.

CTOs and VPs of engineering
You suspect the stack is slowing the team down and want an outside read before committing a quarter to refactoring.
PE operating partners
You need a fast, honest picture of a portfolio company's technical position: debt, risk, and how far the team is from AI-era velocity.
Companies whose velocity is dropping
Features take longer every quarter and nobody can point to a single cause. The assessment finds the compounding drags.
Teams preparing to bring software in-house
You want to own more of your stack. Find out what your team can carry today and what has to change first.
Related services

Where teams usually go next.

Code modernization
When the assessment says fix it: refactoring, documentation, and cleanup that make the codebase faster for humans and agents.
View service →
Citizen SDLC
A governed path from employee-built AI prototypes to approved production applications.
View service →
AI Diagnostic & ROI Study
Map where AI pays off across the whole business, workflow by workflow, before you spend.
View service →

Get an honest read on your stack.

Two to three weeks, code and team both evaluated, one sequenced modernization plan. Book a scoping call to see whether the assessment fits.