How I Integrated DeepSeek Into NanoAgent and Why I Built a Repair Layer for Real Coding Agents
When I started building NanoAgent, my goal was not to create another AI chat interface. I wanted a practical coding agent that could live inside a real developer workflow: a terminal, a desktop app, an editor, and eventually CI. NanoAgent was built to understand repositories, inspect files, plan changes, edit code, run validation, review diffs, and keep the human developer in control. The README still captures that core idea: NanoAgent is a local AI coding agent for desktop, terminal, editor, and CI workflows, designed to help developers work inside real repositories instead of disconnected chat sandboxes.
DeepSeek became an important part of that story.
Adding DeepSeek was not just about adding one more provider name to a dropdown. A coding agent is different from a chatbot. In a chatbot, a model can answer with imperfect formatting and the user can still understand it. In a coding agent, the model has...
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