Take over a project that's gone off the rails.
Web apps, mobile apps, and the services underneath them — we take projects over in whatever language and framework they were already written in. What decides how a rescue goes is where the failure shows up: in the browser, on a user's phone, or in the layer everything else quietly depends on.
Pick where it's breaking.
Three surfaces, three different shapes of failure.
Rescue work here splits along where the pain actually shows up, not along some abstract taxonomy. Some problems surface in a browser: a page that loads slowly, a site Google can't seem to rank, caching behavior nobody on the current team can explain. Some surface on a phone: a crash nobody can reproduce, a release stuck in App Store or Play Store review, a native module that only half works. Some surface in the layer users never see directly: an API that falls over under real traffic, memory that creeps until a restart is the only fix, a balance that quietly stops reconciling. Three surfaces, three different shapes of failure.
The trigger is rarely the technology itself. A developer or agency moves on, and nobody left on the team fully understands what they built. An in-house team inherits a project from someone who's since left. A funding round or acquisition brings in a technical review that surfaces problems nobody had looked for closely before. Whatever brought you here, what the code happens to be written in mostly determines the shape of the repair work once we're actually inside it.
It's also common for one product to span more than one surface at once: a front end a visitor loads in a browser, a mobile app on iOS and Android, and an API layer underneath serving both. We build our own products this way — GazetAI ships as a web app and as native iOS and Android apps, with a backend pushing real-time alerts to all three; CarVinVin and Bank-Lift are both browser-first products carrying the backend rigor real payments and real data demand. If your project is struggling on more than one front, that's ordinary, not a sign you've landed on the wrong page.
A rough way to decide where to start: if what's broken is what a visitor sees, or how the site performs and ranks, start with the browser layer. If it's what happens on a user's phone, from a crash to a stalled store release, start with the device. If it's the service everything else quietly depends on, the one that's slow, leaking, or frightening to deploy, start underneath.
None of this depends on who wrote the original code, or on what it was written in. Whether it was your own team, a freelancer, or a previous agency, if there's a real codebase underneath — in any language, on any framework, however unfashionable the choices look now — this is the right place to start: tell us what you're on and we'll take it from there. If instead the app started life as output from an AI builder like Lovable, Bolt or Replit, or as a v0 interface with no backend behind it, the failure patterns are different, and fixing an AI-built app is the more useful starting point.
| Dimension | In the browser | On the device | In the service layer |
|---|---|---|---|
| Typical rescue trigger | Core Web Vitals in the red, search rankings stalled, a half-finished rewrite nobody dares to finish or roll back | Crashes in the wild with no crash reporting, a release stuck in App Store or Play Store review | An API falling over under real load, memory leaks, data that stops reconciling |
| What we check first | How the app renders and caches: what's built ahead of time, what's fetched per request, and which layer is quietly serving stale content | Crash reporting and diagnostics, so the fix targets a real failure and not a guess | Where load actually breaks it: profiling, logs and the data paths that touch money or critical records |
| Where the failure shows up | In the browser: paint, ranking and rendering behavior | On the device: iOS and Android, in review and after release | In the service layer: APIs, background jobs, the data underneath the UI |
| Ongoing use once stable | Feature work plus continued performance and SEO tuning | Regular releases through a pipeline that's no longer manual | Routine deploys with logging and metrics catching problems before users do |
The columns describe where a failure surfaces, not what the code is written in. The process is the same in any language: read it, reproduce the failure, then stabilize. Tell us what you're on.
Building something, or fixing something? Start free.
Tell us which — you'll get a free written project read for a new build, or a free written first read for a rescue. No strings attached.
Not ready yet? See a sample report or .
- Own your code, always
- NDA on request
- First read is free, no strings