AI Writes Perfect Tests? Codebase X-ray Revealed

Can AI generate truly perfect tests for complex codebases? I reveal my "Codebase X-ray" prompt which makes Gemini understand vast projects for automated structure formatting. AI code generation is promising, but ensuring the perfect tests are set up is a major hurdle. My previous attempts using Neo4j to graph codebases were complex. The key lies in generating perfect tests. In this video, I demonstrate how my "Codebase X-ray" prompt gets Gemini to deeply analyze an entire codebase and convert it into a structured JSON format. This JSON structure isn't just data; it's the blueprint for a "Test Prioritization Engine" – a system I'm conceptualizing to automatically identify exactly where and what to test. It targets high-complexity units, integration points, data flow paths, API endpoints, and more, suggesting the perfect tests needed. This solves the problem of needing expert knowledge just to tell the AI how to test its own code. Learn about: The challenges of AI code generation reliability. Why "perfect tests" are crucial for AI coding success. My "Codebase X-ray" prompt strategy for deep code analysis with Gemini. Converting complex codebases into structured JSON. The concept behind my upcoming "Test Prioritization Engine". How this approach aims to solve the "Where's Waldo" debugging nightmare in massive AI-generated projects. 0:00 - Intro: The AI Coding Challenge 0:21 - The Problem: AI Needs Better Testing Guidance 1:10 - My Previous Approach: Code Graphs & Neo4j Complexity 1:47 - The Key Insight: Perfect Tests are Everything! 3:15 - Introducing: Codebase X-ray Prompt for LLMs 3:37 - Demo: Analyzing 26k Lines with Gemini & X-ray 4:20 - Output: Codebase to Structured JSON Explained 4:41 - The Solution Concept: Test Prioritization Engine 5:01 - How the Engine Identifies Tests (Complexity, APIs, etc.) 6:32 - The "Where's Waldo" Problem in AI Code Debugging 7:20 - Future Work: Building the Engine & Refining Neo4j Graphing 7:52 - Resources & Next Steps (GitHub Link) What do you think is the biggest hurdle in AI code generation today? Let me know in the comments below! If you find this useful, please Like this video & Subscribe for more on AI, coding, and automated testing! Check out the Codebase X-ray prompt on my GitHub (link below)! My GitHub Repo (Codebase X-ray Prompt): https://github.com/ChrisRoyse/AI-Vibe-Code-Setup/blob/main/Codebase%20Xray.md Mentioned Tools: Gemini https://aistudio.google.com/prompts/new_chat Connect with me: https://www.linkedin.com/in/christopher-royse-b624b596/ #AICodeGeneration #AutomatedTesting #SoftwareTesting #LLM #GeminiAI #CodebaseAnalysis #TestAutomation