Code Tracker AI Plugin Launches on Product Hunt to Help Developers Understand Their Own Code

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Solo developer Mona Hidalgo has launched Code Tracker AI (CTAI), a JetBrains IDE plugin designed to help developers understand existing code rather than generate new code faster. The tool provides real-time explanations of what functions do and why, flags issues with root-cause context, and automatically maintains 'Code Books' that log the reasoning behind coding decisions as work happens. Built from rural New Mexico without a team, CTAI runs on a custom architecture combining Git history, 60-plus security and quality checks, and an AI narrative engine that produces plain-English explanations. The plugin supports multi-model LLM routing across Claude, DeepSeek, Llama, Mistral, and Amazon Nova, and is available on the JetBrains Marketplace for IntelliJ, PyCharm, WebStorm, and Android Studio. Hidalgo says the tool targets a gap she repeatedly encountered: reconstructing the intent behind old or unfamiliar code, a problem she argues has grown more acute as AI-generated code outpaces developers' ability to comprehend it.

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