DevMentor Aims to Automate Entire Software Dev Lifecycle via Voice Commands

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A developer platform called DevMentor has been designed to automate the full software engineering workflow, from voice input to an opened pull request on GitHub. The system uses a multi-stage pipeline that converts a spoken instruction into discrete tasks, including code generation, testing, documentation, and git commits. To handle large codebases, DevMentor builds a semantic map of the repository rather than loading all files into the AI model's context window, reducing token usage and improving accuracy. Instead of generating code in a single step, the platform first creates an execution plan that breaks complex requests into manageable subtasks. The project is positioned as a shift from AI as a code-completion tool to AI as a supervised autonomous engineering assistant.

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