Learn from Real Failures
Detailed postmortems of AI app disasters and how to fix them. Subscribe to avoid making the same mistakes.
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
Tool Use Is the Achilles Heel of AI Agents: Designing for Reliability
Tool usage is the leading cause of AI agent failures. This post dissects common issues like malformed JSON, incorrect function selection, and incomplete arguments, providing a step-by-step framework to design robust, reliable tool interactions for production-ready agents.
9 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Agent Memory Is Still Broken: Why Vector Recall Fails and How to Fix It
Vector similarity retrieval is failing in production. Learn how relying on raw vector recall leads to context pollution and unreliable agents, and implement a Contextual Memory Validation (CMV) pipeline to ensure every piece of recalled information is relevant, current, and true.
8 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Featured
Building Reliable AI Agents: The Minimal Roadmap from Simple to Scalable
Stop overbuilding: Most AI agents fail because they introduce LLM complexity too early. Implement the Simplicity-First Reliability Model (SFRM) to build a stable, deterministic agent core before adding advanced reasoning.
6 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Featured
The Agent Test Gap: Why Repeatability and Hallucinations Sabotage AI Apps
Non-deterministic behavior is killing your production AI agents. Learn how to implement The Agent Repeatability Contract (ARC) to close the test gap, control hallucinations, and ensure reliable deployment.
6 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Featured
From Demo to Reality: Closing the Production Gap in AI Agent Workflows
Why most 'AI agents' fail in production: they lack robust observability. Learn how to implement an Observability-First Agent Architecture to ensure real-world AI agent reliability.
6 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Featured
Building Reliable AI Agents: Why Multi-Step Workflows Break and How to Fix Them
Multi-step agent workflows suffer from compounding failure risk. Learn how to implement step-level validation and self-correction to dramatically improve **AI agent reliability**.
6 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Featured
How to Build Reliable AI Agents: A Guide to Workflow Orchestration
Multi-step task failure is a top challenge for developers. This guide explains how to build a stateful orchestration layer to ensure robust AI agent reliability and improve AI system stability.
6 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Featured
Tracing the Invisible: How to Debug Multi-Agent AI Workflows
Multi-agent AI systems often fail silently. Learn how to instrument, trace, and debug invisible chains of LLM calls to improve AI app reliability and ensure AI system stability.
8 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Featured
Why AI Apps Break & How to Fix Them: A Context Engineering Guide
Learn to fix broken AI apps by eliminating context blindness and hallucinations in RAG pipelines using the Context Pre-Attending (CPA) framework for better AI app reliability.
8 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Featured
Is Replit Ready for Production? A Guide for Developers
A guide for developers on Replit's limitations for production apps. Learn how to improve your AI architecture and AI system stability, and when to migrate.
9 min
FixBrokenAIApps Team
Educational Blog for AI Developers
Featured
Postmortem: How a $45 Replit App Turned Into a $350/Day Nightmare
A detailed breakdown of how unexpected pricing changes can destroy a small business app, and what you can do to protect your AI system stability.
8 min
FixBrokenAIApps Team
Platform Migration Specialists
Featured
The 5 Security Holes in Every AI-Generated App (And How to Fix Them)
AI code generators create functional apps fast, but they consistently miss critical security vulnerabilities, impacting AI app reliability. Here's what to look for to ensure AI system stability.
12 min
FixBrokenAIApps Team
Security Audit Experts
Featured
Postmortem: Clinic Website Built in 2 Days, Breached in 2 Days
A healthcare clinic's patient portal was built with AI in record time, but lacked AI system stability. Then came the breach. Learn from their mistakes before it happens to you.
10 min
FixBrokenAIApps Team
HIPAA Compliance Specialists