Florida

I built a full app with AI - frontend, backend, auth, everything. It ran clean. I almost deployed it. Then I discovered it was missing over half the core features I asked for. Quietly. Silently. No errors. AI agents only see what fits in their context window. They give you code that looks complete but forgets what features were supposed to do. You ask for a shopping cart? You get UI. Password reset? Good luck getting the actual logic. It all looks fine. No crashes. Just logic that silently fails - which is dangerous. Recently I tried TestSprite, which doesn't just test code — it understands your product intent. Reads your repo and prompt history, figures out what your app should do, then creates smart test plans. The numbers that made me freeze: Typical AI apps hit ~40% of target features With TestSprite: 90%+ feature coverage Took a side project I'd given up on. Plugged in TestSprite. In 10 minutes: 7 missing features found, 3 broken edge cases, 1 API error I missed. Also, they are offering a FREE one month starter pack to all new users. If AI handles both coding AND testing... what does development look like next?