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Engineer Builds Privacy-First Dev Tool Using Only a Local LLM, No Cloud AI

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A software engineer built SafeDevTools, a browser-based collection of privacy-first developer utilities, using only a local LLM (Gemma 4:12B via Ollama), VS Code, and a MacBook M4 Pro — with no cloud AI services or API credits. The project was a deliberate experiment to test whether a production-ready product could be built entirely with local AI tooling. The engineer found the greatest value in using the LLM not to make product decisions, but to handle repetitive implementation work such as boilerplate code, unit tests, and documentation. A key insight from the project was separating human-led architectural intent from AI-driven execution of routine tasks. The experience led to a broader argument that AI's real role in software development is replacing repetitive engineering work, not replacing engineers themselves.

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