01
The problem
AI-generated code ships fast but often lacks tests, security boundaries, observability, and maintainable structure. Scaling it without review is a common source of production incidents and failed due diligence.
AI Solutions
Code Audit Sprint
Harden code generated by Cursor, Lovable, Bolt, Copilot, or other AI tools — before you scale or raise.
- 9 yearsBuilding software since 2017
- 1,431Projects delivered
- 99.95%SLA on managed infrastructure
- NestJS · pgvectorProduction AI stack we run daily
02
Four-step process
A repeatable audit workflow run by senior engineers — not automated scanners alone.
- 1. Scoping call — stack, timeline, risk areas
- 2. Automated scan — dependencies, secrets, lint, coverage gaps
- 3. Senior code review — architecture, security, data layer
- 4. Prioritized report — critical / high / medium with remediation plan
03
Packages
Choose the depth that matches your stage.
- Quick Audit — 3–5 days, focused on blockers and top risks
- Full Audit — 2–3 weeks, architecture + security + test strategy
- Investor / due diligence support — report formatted for data room review
FAQ
Common questions
What does OptimusWay deliver for Code Audit Sprint?
Production-grade AI systems: RAG pipelines, vector search with pgvector, LLM orchestration, and optional managed operations — scoped in writing before build starts.
How long does an AI engagement take?
Blueprint and audit sprints run 2–3 weeks. Full build projects use two-week demo cycles; timeline depends on scope defined in the technical specification.
How do we start?
Book a 30-minute scoping call. We map your stack, risks, and goals — then propose a sprint or fixed project quote within days.
Tell us what you are building
30-minute scoping call — we map your situation and propose a sprint or project scope.
Written scope before build
Two-week demo cadence
NestJS + PostgreSQL stack
99.95% SLA on managed ops