Problems we fix most often
- Login works for the founder but fails for invited users or mobile users.
- Checkout spins forever, creates duplicate purchases, or misses subscription status.
- Dashboards show wrong numbers because state and database reads are mixed together.
- Pages turn blank after deployment because environment variables or build settings are missing.
- AI features give inconsistent answers, spend too much, or ignore important instructions.
- One change requested from the AI tool accidentally breaks an older feature.
How we approach fixes
We start with the customer-visible failure, reproduce it, trace the path through the app, then repair the underlying cause. A visible bug is often only the symptom. The real issue might be database rules, async state, missing validation, incomplete error handling, bad API contracts, or deployment drift.
What makes this different from asking the AI again
Asking the same AI tool to patch the bug can work for small UI issues. It becomes risky when the tool cannot see the full production context or when it starts rewriting large sections of working code. Our goal is to stabilize the smallest necessary part of the app and add guardrails so the same problem does not return.
Fixes should leave the app easier to own
Every repair should improve the founder's ability to keep building. That means clearer errors, safer configuration, basic tests around revenue paths, documented handoff notes, and fewer mystery dependencies hidden inside generated code.