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Product, engineering, and the real work behind AI-built apps
Founder-focused essays, technical breakdowns, and product notes on monitoring apps built fast and shipped to real users.
Featured
Start here if you want the clearest product context first.
Why AI-Built Apps Crash in Production Even When They Look Fine Locally
Local success is a weak signal. Real users trigger different routes, payloads, permissions, and edge conditions. This is how to design monitoring for that reality.
Why Client-Side and Server-Side Monitoring Should Share the Same Feed
When browser failures and backend failures land in different tools, the team spends more time reconciling incidents than fixing them. One feed changes that.
Plain-English Error Feeds Beat Raw Stack Traces for Small Teams
Small teams do not need more noise. They need an issue feed that converts technical failures into decisions they can act on quickly.
Fix Prompts Are the Missing Layer Between Monitoring and Repair
AI-built apps move faster when the monitoring product does not stop at detection. The next step should already be shaped into a usable fix prompt.
All posts
Founder notes, product decisions, and technical implementation details.
Showing 31–32 of 32
What a Founder Actually Needs From Monitoring in Week One
Week-one monitoring should answer immediate operating questions, not impress the founder with dashboards they will not use yet.
How to Make Error Dashboards Readable Instead of Merely Detailed
Readable dashboards do more than show data. They impose a useful order on it so the person looking at the page can make a decision quickly.