Developer Builds LLM-Powered CLI Tool to Cut Browser Context-Switching
A software developer built a command-line tool powered by a large language model to answer coding questions and summarize files directly in the terminal, eliminating the need to switch to browser-based chat interfaces. The first version made basic API calls to OpenAI but quickly revealed problems including lack of project context, unexpected token costs, and no conversation memory. The developer later added file-context gathering to feed relevant project files into prompts and switched to streaming responses for a better user experience. In hindsight, the developer recommends starting with open-source models via tools like Ollama to handle sensitive code more safely, and designing for multiple LLM backends from the outset. The project is described as one of the most educational builds of the year, with lessons around prompt design, cost management, and iterative tooling shared for the broader developer community.
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