AI App Rescue

AI coding tools produce functional-looking code quickly, but they lack context about production demands. The result is a codebase that works in demos but fails when real users push boundaries:

• No error handling — happy-path code that crashes on unexpected input
• Security gaps — missing authentication, exposed API keys, unvalidated user input
• No tests — zero coverage means every change risks breaking something else
• Coupled architecture — everything depends on everything, making isolated fixes impossible
• Performance issues — unoptimised queries, missing caching, and memory leaks under load

We don't start by rewriting your app. We stabilise it, then improve it incrementally:

1. Triage (1–3 days) — we review the codebase, identify critical failures, and deliver a prioritised fix plan with honest effort estimates.

2. Stabilise (1–2 weeks) — ship fixes for the issues causing real user pain. Deploy monitoring so you can see the improvement in real time.

3. Harden (2–4 weeks) — security audit, test coverage, performance fixes, and architecture improvements that make the codebase maintainable.

4. Maintain — optional ongoing support to keep the application healthy, handle updates, and prevent regression as you add features.

Not every app is worth saving. We'll tell you honestly:

We provide a clear recommendation with cost and timeline comparisons for both paths.

• Rescue when the core logic works but the implementation is brittle — most AI-built apps fall here
• Rebuild when the architecture fundamentally cannot support your requirements (e.g., real-time features on a batch-processing foundation)

React, Next.js, Node.js, Python, Django, FastAPI, Express, PostgreSQL, MongoDB, Firebase, Supabase, Vercel, AWS, and more. If AI tools can generate it, we can fix it.

Your users don't care how the code was written — they care that it works. Tell us what's broken and we'll deliver a triage report within 48 hours.