Stuck at 80%?
We finish what the AI couldn't.
The same bug has been "almost fixed" for three weeks. Every prompt gets you a slightly different version of the same broken thing. That's not a prompting problem, it's the point where AI coding tools run out of judgment. A senior engineer reads the actual code, finds the real cause, and finishes it.
You've been circling the same problem for weeks.
- The same bug keeps coming back in a different shape every time Cursor, Claude, or Replit "fixes" it.
- Payments, auth, or a core workflow technically works, until a specific edge case, and then it silently fails.
- It works perfectly on your machine and breaks in production, and nobody can explain why.
- You're afraid to touch anything else because there are no tests and no way to know what you'll break.
- You've set a launch date twice already and missed it both times because of this one thing.
We fix the cause, not the symptom.
Read the codebase
Get oriented in the entire codebase, not just the file where the bug lives, so the fix doesn't break something else.
Reproduce the blocker
Reproduce the exact bug or missing feature the AI tool kept looping on, and find the real root cause instead of the symptom.
Fix it properly
Implement a real fix at the source of the problem, not a patch that papers over it and resurfaces somewhere else.
Add test coverage
Tests on the fixed path and the other critical flows, so the same class of bug doesn't come back silently.
Pre-launch pass
Check error handling, edge cases, and the security fundamentals before calling it ready.
Ship & document
Deploy the fix and hand back documentation of what changed and why.
A launch you can actually stand behind.
- The feature or app, actually working. Not "working most of the time," working.
- Test coverage on the paths that matter. So the next change doesn't quietly reopen the same bug.
- A pre-launch checklist, actually run. Error handling, edge cases, and the security basics, checked and closed.
- Documentation of what was fixed and why. So you're not starting from zero next time.
- An option to keep the team. An ongoing retainer if you'd rather not hit this wall again.
Scoped once we know what's actually wrong.
Not sure how big the fix is? Start with the $1,500 Rapid Diagnostic. It's the fastest way to a real number.
If you're not sure whether the blocker is small or structural, this tells us both, fast. Preceded by a $1,500 Rapid Diagnostic, credited toward this fee.
Fix the blocker, harden the app, and get it to a real launch.
See the full pricing breakdown for every service.
If any of this sounds like you.
Composite personas, written to describe who this is for. Not real clients, and not real messages.
"It worked in the demo. Now I can't get past this one thing."
You've made real progress on your own. This is the specific spot where AI tools run out of judgment, and where a senior engineer earns their fee.
"I already paid someone $15k. Now it's broken and they're gone."
You believed in the product enough to pay for it once. We take over the unfinished build on a fixed scope.
Exactly what is in scope, and exactly what is not.
The same spec block sits on every service page, so you can compare them line for line. What is excluded matters as much as what is included, because that is where scope disputes come from.
- A full read of the existing codebase before anyone writes a line, so the fix addresses the cause rather than the symptom the AI kept circling.
- Reliable reproduction of the specific blocker, written down, so there is an agreed definition of what "fixed" means.
- The root-cause fix, plus the adjacent problems the same root cause was quietly creating elsewhere.
- Automated test coverage on the critical paths, so the same bug cannot silently return on the next change.
- A pre-launch pass over auth, secrets, error handling and the paths that move money or expose data.
- Deployment to a real environment, with error tracking and uptime monitoring live before launch rather than after the first outage.
- Written documentation of what was broken, what changed, and why, so the decision is legible to whoever inherits it.
- New features beyond the agreed scope. Anything new is quoted as a change in writing, not absorbed quietly and billed later.
- A full security audit. We fix what we trip over and flag what alarms us, but a real review is a separate engagement with its own method.
- A rebuild. If finishing the existing code is the wrong call, we will say so and quote the rebuild instead of billing you to polish a foundation that will not hold.
- Brand, visual identity or marketing design. We work to a design system you provide or to a clean functional default.
- Content, copywriting or data entry.
- Ongoing maintenance after launch, unless you move to a retainer.
A working, deployed application on infrastructure you own, the test suite covering its critical paths, a completed pre-launch checklist you can read, and written documentation of every fix and the reasoning behind it.
Typically a few weeks from diagnostic to a launch-ready app, stated as a dated milestone schedule in the proposal rather than a single delivery date, so slippage is visible early instead of at the end.
Senior engineers only, with production experience that predates the current generation of AI tooling. The engineer who reads your codebase is the engineer who fixes it. No junior pool, no offshore handoff, no account manager in between.
- How far from done it actually is, which is usually not where the last developer said it was.
- How deep the root cause runs. A single broken integration is a different job from a data model that cannot represent what the product needs.
- Data sensitivity. Payment or health data raises the rigor at every step and moves the work into a higher consequence tier.
- Timeline. Compressing the work to hit a launch date costs more, not less.
- How much documentation exists, and whether the previous developer is reachable.
Send the repository and describe the thing you cannot get past. A $1,500 Rapid Diagnostic tells us both how far from done it really is, and the fee is credited toward the full engagement. You get a fixed scope and a fixed price in writing before any build work starts.
What founders ask before we start.
How do you know if you can actually fix it?
We read the code and reproduce the blocker before quoting anything. If it's genuinely fixable within the existing foundation, which is true most of the time, we tell you exactly what it will take. If it isn't, we say that too, before you spend anything further.
What if it needs a full rewrite instead?
That's rare and we only recommend it when the foundation genuinely can't be made safe or stable. Most stalled builds have one or two structural problems, not a broken foundation, and we fix those instead of starting over.
How long does it take to finish a stalled build?
Depends on the blocker. Finish-the-build engagements are priced in the Rescue & Harden range and run a few weeks from diagnostic to a launch-ready app.
What if I already paid a freelancer or agency to build this?
Common situation. We're not here to relitigate what happened, we're here to read what exists and finish it properly, on a fixed scope so you know the cost before we start.
Do you work with apps built in Cursor, Replit, or Lovable specifically?
Yes. We finish builds on codebases originally built with Cursor, Replit, Lovable, Bolt, v0, Windsurf, GitHub Copilot, or VS Code, or code generated directly by Claude, ChatGPT, Gemini, Grok, Llama, DeepSeek, or Mistral. We read AI-generated code for a living.
Will you also check for security issues while you're in there?
Yes, a security pass is part of getting to a launch you can stand behind. If we find something serious, we flag and fix it as part of the same engagement rather than a separate bill.
Send us the repo and the bug. We'll tell you what it takes.
A senior engineer reads your actual code and gives you a straight assessment. No sales engineer, no junior.