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AI-Native Development: Human Verified

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RESCUE & SHIP

Already Started? We'll Finish It.

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.

What we find in 90% of rescues

The code isn't broken. It's just unfinished.

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

What we do

A complete rescue, not a patch job.

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.

Bug Triage & Fixing

Prioritized by impact. We fix the critical path first — the things that block deployment or break the core user flow. Then secondary issues.

Architecture Cleanup

Unnecessary complexity removed. Circular dependencies untangled. Proper separation of concerns established. Code you can actually maintain.

Missing Feature Development

If the previous build left features half-done or entirely missing, we complete them. New work follows the same standards as the cleanup.

Testing & QA

Critical paths covered with automated tests. Manual QA pass before any deployment. You know what works before you ship it to real users.

Deployment

Production infrastructure, environment configuration, CI/CD, and monitoring. The finish line — a live, stable product in the hands of real users.

The rescue process

Audit first. Fix second. Ship third.

We keep things transparent. You always know where your project stands.

01. Code audit

1–2 days

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.

02. Triage report

1 day

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.

03. Cleanup & fix

1–2 weeks

We work through the triage list. You have repository access throughout — watch the progress in real commits, not status reports.

04. Test & verify

2–3 days

Automated tests on the critical path. Manual QA pass. We test against the scenarios that matter: real user flows, error states, edge cases.

05. Deploy & handoff

30 days included

Deployed to production. Monitoring configured. Documentation written. Code and credentials transferred. 30 days post-launch support included.

Rescue in practice

An AI-generated SaaS. Six months of work. Couldn't deploy.

A founder had 6 months of AI-assisted development and a codebase that would not pass any deployment check. We audited in 2 days, fixed the critical blockers in 10, and deployed a working product in 2 weeks.

Live in production — 2 weeks from auditfrom nothing-deploys to shipped
FAQ

Common questions

Ready to rescue your project?

Show us the codebase. We'll tell you what's wrong and what it costs to fix — before you commit to anything.

Free scoping call. Triage report included in proposal.