Converge the drift
Three refactors and three half-applied patterns become one clean structure, so a change stops having surprise blast radius across the app.
Vibe coding rescue · Base44
Your Base44 app breaks every time you prompt it.
That is the AI hitting its ceiling, not you failing — and it is measurable. Researchers tracking iterative AI code generation found a 37.6% increase in critical vulnerabilities after just five rounds of asking a model to improve its own code. Once a Base44 app outgrows the tool’s context window, each prompt fixes one thing and quietly breaks two others. The fix is an engineer who can hold the whole codebase in view.
App down right now? WhatsApp us or email [email protected] — we reply within one business day.
There is a predictable wall in every vibe-coding tool. For the first few dozen screens it feels like magic; then the codebase gets big enough that the AI stops seeing all of it at once. From there, every fix is a gamble: the change you asked for lands, and something you shipped last week silently regresses. You end up prompting more and trusting less.
This is a structure problem, not a prompting problem, and it does not fix itself with a better prompt. We read the whole codebase with senior eyes, converge the layers of half-replaced logic into one coherent structure, add tests around the parts that matter, and hand you back an app that is safe to keep prompting on, by us, or by you in {Tool}.
How we fix it.
The review that never happened
Hundreds of accepted AI suggestions get the full-codebase review the tab key skipped, individually fine, collectively drifting, now made coherent.
Tests around the money paths
We add tests where it counts first, auth, payments, data writes, so future prompting is safe rather than roulette.
Specific to Base44
What usually needs attention in Base44 apps.
Platform ceiling
The integration you need does not exist and cannot be added. We rebuild on an open stack where nothing is off the menu.
Your data, their terms
Export options are limited and the schema is theirs. We migrate your data to a database you own, with backups you control.
Trust by assumption
The platform handles security until the day your compliance, client, or investor asks questions it cannot answer. We give you a stack you can answer for.
How a rescue works.
Fixed price, milestone payments, and a written audit before you commit to anything.
Audit, 48 hours
Send repo or tool access. You get a plain-language report of what is solid, what is dangerous, what is unfinished, and a fixed price for the rest.
Fix and harden
Security first: auth, data access, secrets, rate limits, payments. The invisible work that keeps your launch out of the news for the wrong reason.
Finish and launch
The stalled features get built, the deploy pipeline gets set up, and the app goes live on your domain with monitoring, alerts, and daily backups.
Stay if you want
Every rescue includes 30 days of fixes. Many founders keep us on afterwards for the roadmap, through Resident™, our monthly retainer.
Questions
Why does my Base44 app break every time I prompt a change?
The codebase has outgrown the tool’s context window. The AI can no longer hold all of it in view, so a fix in one place regresses something elsewhere it can no longer see. It is a size and structure limit, not a mistake you made.
Can you make my Base44 app stable to keep building on?
Yes, that is the point. We restructure the codebase into something coherent and documented, add tests around the critical paths, and hand it back with conventions that make future prompting in Base44 far less likely to break things.
Will you rewrite it from scratch?
No. Full rewrites are usually ego, not engineering. Base44 produces plenty of usable code; we keep what works, restructure what will not scale, and rebuild only the unsafe or broken parts. You already paid for the 80%, we make the 20% that ships it reliable.
Is it true that asking the AI to fix its own code makes things worse?
Measurably, yes. A study of iterative AI code generation (Shukla, Joshi and Syed, arXiv:2506.11022) recorded a 37.6% increase in critical vulnerabilities after five rounds of prompting a model to improve its own output. Separately, Veracode’s 2025 GenAI Code Security Report found models across 80 tasks chose the insecure implementation 45% of the time, and got no better as they got newer. Each pass optimises for the error in front of it, with no memory of the threat model you never described — which is exactly why the prompt loop feels like it is converging when it is not.
Send us your Base44 project.
Book a 30-minute call with a founder. Within 48 hours of access you will know what is solid, what is dangerous, and what it costs to launch.
Prefer email? WhatsApp us or email [email protected] — we reply within one business day.
