USE CASE · STABILIZING A LIVE APP
It took off, and it has not been stable since.
The situation
This is the hardest shape the work takes. The product is good enough that people showed up, so every repair has to happen underneath users who are mid-session. Founders here are usually firefighting daily and cannot get far enough ahead of it to fix the cause rather than the symptom.
What breaks
Every keystroke writing straight to the database, so load scales with typing rather than with users. Third-party and model calls made inline with no queue, no timeout, and no budget cap, so one slow dependency stalls the whole product and the bill turns up later. No backups of the work users are asking support to recover.
PRODUCTION READINESS REPORT
AUDIT NO. 0147 · AUG 2026
Anon key with write access in the clientCRITICAL
Auth checked in the UI, not in the APICRITICAL
No rate limiting on any endpointCRITICAL
Schema edited live, no migrationsNEEDS ATTENTION
Logging is console.log onlyNEEDS ATTENTION
An illustrative finding set for an AI-built export. All fixable in 4 weeks.
ILLUSTRATIVE · NOT A CUSTOMER REPORT
totally normal for AI-built apps — fixable, here's the plan →
What we do about it
STEP 01 · FREEAudit the repoRead-only access, and 48 hours later you have a graded report: everything standing between the prototype and production, ordered by risk and priced.STEP 02 · FIXED PRICEProductionize itWe keep the UI and the flows your users already validated, and make everything underneath them production-grade.STEP 03 · OPTIONALKeep it healthyMonitoring, patches, and a steady lane of improvements each month until you have your own team. Cancel any month.
How we work on something already live
- 01Monitoring goes in first, so we fix measured problems instead of guesses
- 02Changes staged behind the current deployment and migrated with no planned downtime
- 03Slow and expensive work moved onto a queue, with caps and retries
- 04Backups and a tested restore before anything else is touched
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