Fix one specific issue. Reproduced, root-caused, tested.
If one concrete thing is broken, such as a failed deploy, a checkout that stops working, a bug, a slow page or a security hole in an app built with Lovable, Bolt, Cursor, v0 or Replit, RAITHub fixes that one thing. We reproduce it, find the root cause, and send the fix as a pull request with a regression test. You get a fixed quote after a short investigation, before any fix work starts.
What you send us.
Three things. The clearer the reproduction steps, the faster and cheaper the investigation.
Repository access
Read access to the repo (GitHub, GitLab or Bitbucket), or a zip if you prefer. Write access is not needed: the fix arrives as a pull request.
Steps to reproduce
What you did, what you expected, and what happened instead. Error messages, logs, screenshots or a screen recording all help.
Environment
Where it breaks (production, staging, one browser, one device), the hosting provider, and any environment variables or services involved. Share secrets through a secure channel, never in the ticket.
What you get back.
- A reproduction of the issue, so we both see the same failure
- The root cause in plain language: why it happens, not only where
- The fix as a reviewable pull request against your repository
- A regression test that fails before the fix and passes after it
- Verification in a production-like environment before hand-back
- A short written report: cause, change, test, and anything else we noticed
Investigation first, then a fixed quote.
RAITHub publishes no rates. We first investigate: reproduce the issue and trace its cause. Then we quote a fixed price for the fix, in writing. You decide whether to go ahead, and overruns that are our fault are ours to absorb. For what the market charges, read how much it costs to hire a developer to fix a bug.
Real fixes, written up.
Two issues from our own production code, with the cause, the fix and the test that keeps each one fixed.
Zod 4 .partial() kept .default() values
A PATCH-style update silently overwrote saved columns with defaults. Root cause, a scoped fix and a regression test.
npm ERESOLVE broke a Vercel deploy
A security upgrade created a peer dependency conflict that passed locally and failed in CI. Why, and the scoped override that solved it.
Common fix types.
| Issue type | Typical examples | How we verify the fix |
|---|---|---|
| Broken deploy or build | Vercel or Netlify build fails, npm ERESOLVE, type errors only in CI, missing environment variables | Clean install and build in CI matches production |
| Failing checkout or payments | Stripe webhooks not firing, orders stuck in pending, double charges, wrong totals | End-to-end payment test against the provider sandbox |
| Functional bug | Data saved wrongly, a form that silently drops fields, a PATCH that overwrites values | Unit or integration test that reproduces the bug |
| Authentication and sessions | Login loops, sessions expiring early, OAuth callback errors, users seeing the wrong account | Auth flow covered by an automated test |
| Slow page or API | Slow first load, N+1 queries, oversized bundles, poor Core Web Vitals | Before and after measurements in the report |
| Security issue | Exposed API keys, missing authorisation checks, open database rules, unsafe file uploads | Test proving the unauthorised request is now refused |
Apps built with AI tools.
Lovable, Bolt, Cursor, v0 and Replit get an app working fast. The problems tend to show up later: a build that only succeeds inside the tool, API keys shipped to the browser, database rules that let any user read every row, or a payment flow nobody has tested. Send us the one issue that is blocking you. We fix it the same way as any other: reproduce, root-cause, PR, regression test. If we spot other serious risks, they go in the report. For the wider checklist, read how to make a vibe-coded app production-ready.
When it's bigger than one fix.
Sometimes the investigation shows the issue is a symptom: the same bug in ten places, no tests to catch regressions, or an architecture that keeps producing new failures. Patching one spot would not help. We tell you that before you pay for fix work, and point you to code rescue, where we audit the codebase, stabilise the critical paths and hand back a plan. See the code rescue playbook for how that works.
Questions about a single fix.
How much does it cost to fix one bug? +
RAITHub does not publish rates. We start with a short investigation to reproduce the issue and find its cause, then give you a fixed quote for the fix. You approve the number before any fix work begins. For market rates, see our guide to what it costs to hire a developer to fix a bug.
What do you need from me to get started? +
Read access to the repository, clear steps to reproduce the problem, and details of the environment where it happens (production, staging, a specific browser or device). Logs, error messages and screenshots speed things up.
Will you need access to my production systems? +
Usually not. We reproduce the issue in a local or staging environment and deliver the fix as a pull request that your team, or you, merge. If a problem only appears in production, we agree the minimum access needed and how it is removed afterwards.
Can you fix an app built with Lovable, Bolt, Cursor, v0 or Replit? +
Yes, as long as we can get the source code into a repository. AI-built apps often share the same issues: missing authorisation checks, exposed keys, untested payment flows and builds that only work in the tool that generated them. We fix the specific issue and tell you about any serious risks we see along the way.
What if the problem turns out to be bigger than one fix? +
We tell you after the investigation, before you pay for fix work. If the cause runs through the codebase, a single patch would hide the problem rather than solve it, and we will recommend a code rescue engagement instead.
How do I know the fix actually works? +
Every fix comes with a regression test that fails on the old code and passes on the new code, plus verification in a production-like environment. The report explains what we changed and how we checked it, so you can review the pull request with confidence.
One thing broken? Tell us what it is.
Describe the issue and how to reproduce it. We reply with next steps for the investigation, and you get a fixed quote before any fix work.