Codebase Audit
We read every file. We map the architecture, identify the failure modes, and produce a triage report before any work begins. You know exactly what you have.
You started with AI tools or a freelancer and hit a wall. The code exists but won't deploy. Or it deploys but breaks constantly. Or the freelancer disappeared. We've seen every failure mode AI-generated code produces — and we know how to fix it.
AI tools generate code fast — but they don't write error handling, security layers, or production-grade deployment configs. Freelancers disappear mid-project. DIY builds hit architecture walls. These are all fixable.
Missing error handling — code that crashes silently and gives users no feedback
Security vulnerabilities — exposed credentials in Git history, SQL injection risks, no input validation
No tests — fragile code that breaks when you touch any part of it
Over-engineered architecture — 10 microservices where a single app would do
Deployment blockers — works perfectly on localhost, fails completely in production
We keep things transparent. You always know where your project stands.
We clone the repo and spend 1–2 days reading it completely. No assumptions, no shortcuts. We map what's there, what's broken, and what's missing.
A written document: what's critical (blocks deployment), what's important (breaks features), what's optional (improvements). With a scope and price for fixing it all.
We work through the triage list. You have repository access throughout — watch the progress in real commits, not status reports.
Automated tests on the critical path. Manual QA pass. We test against the scenarios that matter: real user flows, error states, edge cases.
Deployed to production. Monitoring configured. Documentation written. Code and credentials transferred. 30 days post-launch support included.