checklistAI Engineering

The AI Engineering Audit

A 12-point diagnostic for whether your engineering org is getting real leverage from AI — or just typing faster.

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About this resource

A 12-point diagnostic for whether your engineering org is getting real leverage from AI — or just typing faster. Covers where AI belongs in the workflow, the decisions you should never automate, and how to catch the confident, wrong PR before it ships. Score each item Yes, Partly, or No and total the result against the scoring guide.

What you'll walk away with

Why faster code is the least valuable thing AI does — it just means you build the wrong thing faster.
Pressure-test before building: have the model argue the opposite case as hard as it can, and only build if your reasoning survives.
The guardrail nobody owns — if no one is asking whether AI is introducing risk, you're accumulating it invisibly.

What's inside

01Decisions — where the leverage actually is
02Codebase & quality — does AI make the system safer, not just bigger
03Workflow & tooling — compounding leverage vs scattered hacks
04Team & measurement
05Scoring guide

WHO THIS IS FOR

Founders, CTOs, and engineering leaders at Seed to Series B.

Written by Ganesh Kompella, fractional CTO and CPO. Based on 75+ engagements across healthcare, fintech, and SaaS — these are the frameworks we actually use with clients, not a summary of someone else's.

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