POC to Production
Cursor and Copilot get you to a demo. We get you to production.
We take AI-generated codebases and transform them into production-ready applications: fixing bugs, rebuilding architecture, adding tests, hardening security, and wiring up CI/CD with observability. Most AI-generated code works for demos but fails under real traffic, edge cases, and security scrutiny. We have seen the same patterns across dozens of these codebases - missing error handling, no auth boundaries, zero test coverage, and architecture that couples everything to everything. We systematically fix all of it so you can ship with confidence instead of anxiety.
What we deliver in this practice.
Codebase audit & triage
We perform a thorough review of your AI-generated code, identifying bugs, anti-patterns, security vulnerabilities, and performance bottlenecks. You receive a prioritized severity report with every issue categorized as critical, high, medium, or low, along with estimated effort to fix each one.
Architecture rebuild
We restructure the codebase with proper separation of concerns, error boundaries, dependency injection, and scalability patterns. This is not a rewrite from scratch - we migrate incrementally, preserving working business logic while replacing the scaffolding that will not hold under production load.
Test suite implementation
We add unit, integration, and end-to-end tests with CI gates that block merges on failure. Test coverage targets are set based on risk: critical payment flows get exhaustive coverage, while admin CRUD gets pragmatic coverage. Every test is maintainable, not brittle.
Security hardening
We implement authentication, role-based access control, input validation, secrets management, and address the OWASP Top 10. AI-generated code is particularly prone to injection vulnerabilities, broken access controls, and exposed secrets - we audit and fix all of it systematically.
CI/CD & observability
We build automated deployment pipelines with staging environments, logging, metrics, distributed tracing, dashboards, and alerting. When something breaks at 2 AM, your on-call engineer gets a Slack alert with enough context to diagnose the issue without reading code.
Documentation
We deliver API documentation, architecture diagrams, deployment runbooks, and onboarding guides. Your next hire should be able to understand the system, set up their local environment, and ship a change within their first week - that is the bar we hold ourselves to.
This service is a good fit when…
You built a working prototype with AI coding tools and now need it hardened for real users, real traffic, and real security requirements.
Your demo impressed investors or stakeholders, but your engineering team does not have bandwidth to rebuild it properly before launch.
You have inherited a codebase with no tests, no CI/CD, and inconsistent architecture, and need a systematic path to production quality.
Your application works in development but breaks in staging or production due to missing error handling, race conditions, or environment differences.
We work with whatever your prototype is built in.
Four phases. No discovery deck purgatory.
Audit
We do a deep-dive into your codebase over 3-5 days, producing a prioritized report with severity levels, risk assessments, and effort estimates for every issue. You review the report with us and decide which items to address. Nothing moves forward without your sign-off on scope.
Architect
We design the target architecture and a pragmatic migration path that minimizes risk. This includes component diagrams, data flow maps, and a phased plan that lets you keep shipping features while we improve the foundation underneath. Artifacts are shared for your team's review.
Harden
We fix, refactor, add tests, and secure the codebase systematically. Every change goes through code review - either by your team or ours. We ship in small, reviewable PRs with clear descriptions so nothing is a black box. Weekly demos show progress against the audit findings.
Ship
We deploy to production with CI/CD pipelines, monitoring, alerting, and runbooks in place. Handoff includes a walkthrough with your engineering team, documentation of every architectural decision, and a 30-day support window for questions and minor adjustments.