Code & architecture
Structure, maintainability, and the design decisions that quietly cost you later.
An independent read on what's risky in your code, security and AI readiness - handed back as a severity-ranked findings report and a prioritized fix plan. The first scoped audit is free.
Before you scale, sell, or pour budget into AI, you should know exactly where the risk is - in writing, ranked, with a number attached. That's what the audit gives you.
It's the same engagement we run before every build. You can take the report and act on it with us, your own team, or anyone else. It's yours either way.
A linter checks formatting. We look at the things your own team is too close to see - and the ones that decide whether you're safe to scale.
Structure, maintainability, and the design decisions that quietly cost you later.
Authentication, authorization and access control - who can reach what, and why.
Vulnerable packages, known CVEs, and hardcoded keys a linter never flags.
The slow paths and failure modes that surface only under real load.
Whether your data, infrastructure and governance are ready before you invest in AI.
Coverage, gaps, and whether your pipeline actually catches regressions.
Every issue ranked by severity and likelihood, with a plain-English note and a fix. A sample of what the report looks like:
Not a slide deck of buzzwords. A working document your team can fix from - and a plan that tells you where to start.
Every issue ranked by severity and likelihood - a list you can act on in order, not a raw dump.
Where the real exposure is, what it would cost you, and what to watch.
A clear read on whether you're ready to build AI - and what to fix first if not.
A costed, sequenced remediation roadmap. What to fix now, what can wait.
Light-touch on your side. We do the digging; you get the answers and the fix order.
We read the code, architecture, infrastructure and dependencies - with your team, not around them.
We rank findings by severity and likelihood, and pressure-test what could actually break in production.
A written report and a working session to walk your team through every finding and the fix order.
A written findings report with every issue ranked by severity and likelihood, a security and dependency review, an AI readiness scorecard where relevant, and a prioritized, costed fix plan. The point is a path forward - not a problem dump you're left to decode.
A focused code audit usually lands in about 5-10 business days; a deeper architecture or security review can run longer. The first scoped audit is free - you get the timeline and any cost for deeper work in writing before we start.
A linter checks formatting and obvious bugs. We look at architecture, security, access control, hardcoded secrets, vulnerable dependencies, performance and test coverage - structure and risk, the things your own team is too close to see.
It checks whether your data, infrastructure and governance are actually ready before you spend on AI. If you've shipped AI-generated code, we also review it specifically for security and dependency risk.
A plan. Every audit ends with a prioritized remediation roadmap - what to fix first, what it takes, and what you can safely leave. Execute it with us, your own team, or anyone else.
That's exactly what the audit is for. About ten days, a ranked report and a fix plan - the first one free, and yours to keep.