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69 articles
Your AI-built app runs perfectly on your computer but breaks the moment you deploy it. This is one of the most common AI application deployment problems. Here's exactly why it happens and how to fix it.
AI coding tools can write buggy code that looks correct but produces wrong results. Learn how to identify, debug, and fix AI coding mistakes — even if you're not a developer.
In AI-built applications, fixing one bug often breaks something else entirely. This frustrating pattern is called regression, and it signals a structural problem. Here's how to diagnose and solve it.
When your AI-built application accumulates errors across the frontend, backend, and database, it can feel overwhelming. This guide gives you a structured approach to fixing a broken AI-generated app.
AI-generated applications frequently contain serious security vulnerabilities. Discover the most common AI application security issues, how to find them, and how to fix them before they cost you and your users.
Login not working, sessions expiring randomly, OAuth broken after deployment? AI-generated authentication code is notoriously unreliable. Here's how to identify and fix the most common authentication problems.
Users seeing data they shouldn't? Admins unable to access admin features? AI-generated role and permission systems are frequently broken. Here's how to identify and fix authorization problems in your AI-built application.
Discovered that API keys, database credentials, or secrets are exposed in your AI-built application's frontend code or repository? This is urgent. Here's exactly what to do right now.
AI-built applications often send user data to third-party services without the founder realizing it. Discover the data privacy risks in AI-generated applications and how to address them before they become legal and trust problems.
Your AI chatbot or application is confidently giving incorrect information. This is called hallucination, and it's one of the most damaging problems in AI applications. Here's how to reduce it significantly.
You built a RAG chatbot so it would answer from your documents — but it's still giving wrong answers or missing information that's clearly in your files. Here's why RAG fails and how to fix it.
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