Educational Content & AI App Insights
Learn from Real AI App Disasters
Detailed postmortems, technical breakdowns, and practical advice for avoiding (and fixing) broken AI-generated apps.
Latest Articles
Real failures, real solutions, real lessons learned
Featured
Debugging AI-Generated Code: When Everything Looks Right But Fails
AI-generated code often hides deep architectural flaws behind a facade of clean syntax. Learn how to identify and dismantle the hidden assumptions that lead to silent production failures.
6 min
FixBrokenAIApps Team
Engineering Reliability Blog
Featured
AI-Generated Code Can Break Your Production: Lessons Learned
AI-generated code is increasingly responsible for production outages and security incidents. This article breaks down why these failures happen and how engineering teams can prevent them.
6 min
FixBrokenAIApps Team
Engineering Reliability & AI Failure Analysis
Featured
Why AI Agents Get Stuck in Loops, and How to Prevent It
AI agents sometimes enter infinite loops even when stop conditions are specified. We explain why this happens, the risks it creates, and how to implement safe loop handling in multi-turn agents.
6 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Featured
State Drift: When AI Agents Gradually Break Themselves
State drift in multi-turn AI agents causes accumulated errors, inconsistent behavior, and hidden bugs. We show how to detect, prevent, and correct drifting state to maintain agent reliability.
6 min
FixBrokenAIApps Team
Educational Blog for AI Developers
The Hidden Math of Agent Failure: Why Extra Steps Cause Exponential Breakage
Adding even a few steps to an AI agent's workflow drastically reduces reliability. This post uncovers the compounding error risks, state drift, and task boundary issues, providing a framework for robust multi-step agent design.
9 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Evaluating AI Agents Is Harder Than It Looks: A Framework for Real-World Testing
AI agent evaluation fails due to non-determinism, stateful complexity, and multi-step workflows. We present a structured framework for moving beyond simple prompt tests to deterministic, state-based evaluation that proves reliability in real-world scenarios.
10 min
FixBrokenAIApps Team
Educational Blog for AI Developers
About FixBrokenAIApps
We document real-world failures of AI-generated applications and share practical solutions. Our goal is to help developers and business owners avoid common pitfalls when building with AI coding tools like Replit, Lovable, Bolt, Cursor, and others.