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Cost guide, October 2026
Short answer: Published prices for fixing an AI-built app run from about $299 for a single targeted fix to $40,000 for a full overhaul, and most packages land between $1,500 and $8,000. What you pay depends far less on which tool built the app than on three things: whether it has live users, how much sensitive data it holds, and whether the code can be fixed in place or needs rebuilding.
Market ranges from providers who publish their prices, collected in 2026. Sources are listed at the end.
A short look at the highest-risk areas: database access rules, exposed keys, auth settings. Good for spotting fires, too shallow to plan a roadmap from.
Fits when: Pre-launch, small app, no payments yet.
Every area reviewed: security, data access, reliability, performance, code structure, deploys. You get a ranked list of issues and, from better providers, a price for each fix.
Fits when: You have users or are about to, and need to know what to fix first.
Single problems with known shapes. Turning on and writing row-level security for a few tables sits at the low end. A broken sign-in flow or unverified payment webhooks sit higher.
Fits when: The audit found a short list and the rest of the codebase is sound.
The critical fixes, tests around the flows that make money, error tracking, backups and a clean deploy pipeline, done over a few weeks while the product keeps running.
Fits when: Paying users, sensitive data, or an investor or enterprise customer asking about security.
Keep the product idea, the design and the data. Replace the codebase. Takes two to four months for most products.
Fits when: The data model is wrong at the root, or every fix breaks two other things.
Fixes made before launch cost much less than the same fixes after it, because post-launch work needs migrations, staged rollouts and care not to lock anyone out. Published estimates put pre-launch fixes at 2 to 5 times cheaper.
If a key has ever been in the browser bundle or a public repo, every affected credential has to be rotated and every service using it updated. Straightforward work, but it touches everything.
Anything that decides who pays and who gets access has to move out of the browser and onto the server or database. The more plans, roles and teams you have, the more of this there is.
Without tests, each fix needs manual checking. Without a staging copy, each fix is tested on production. Setting both up early makes every later fix cheaper.
Time spent chasing repo access, hosting logins and database credentials is billed time. Having them ready on day one is the cheapest saving available.
The biggest cost decision. Count which list sounds more like your app, or take the 2-minute self-check.
I start every rescue with a fixed-price Production Audit. You get a written report in 3 working days with every issue ranked by risk and a fixed quote for each fix, so you choose exactly what to pay for. The audit fee is credited in full if you go ahead with the fixes.
Full refund if the audit finds nothing ranked medium risk or higher · See a sample report
The tool matters less than the app. Published prices for targeted fixes run from about $200 for one table's access rules to around $3,000 for a broken sign-in flow, and audit-plus-fix packages typically land between $3,000 and $15,000. A fixed-price audit is the cheapest way to get a real number for your app.
Usually not, if users can already sign up, use the core feature and pay. Rebuilds typically cost several times more than a fix-in-place and take months. Rebuilding wins when the data model is wrong at the root or the fix list costs more than half of a rebuild.
Different providers include different things. A cheap quote may cover only the bugs you listed. A higher one may include tests, monitoring and backups that stop the next round of bugs. Ask each provider for a written list of what's included and what isn't.
For UI changes, yes. For access rules, payments and data handling, the tool can't see what's missing because nothing in the app tells it. If the same error has come back three times, a human reading the code will usually be cheaper than more credits.
Read access to the repo, a short note on what the app does and who uses it, how many users and how much revenue it has today, and the three problems that worry you most. That's enough for a fixed quote.
Sources
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