Your AI coding assistant vanishes overnight. Cline gets abandoned. Roo Code stops responding to issues. The VS Code extension that automated your file operations, ran terminal commands, and integrated with your preferred AI models suddenly throws deprecation warnings.
You’re back to copying code snippets manually. Context switching between terminal and editor. Explaining the same codebase structure to ChatGPT every session. The 40% productivity boost from autonomous coding assistance evaporates because someone else controlled the tools you relied on.
What if you could build your own AI coding assistant in an afternoon, own the entire stack, and customize it exactly for your workflow?
The Idea (60 Seconds)
You’ll create a minimal VS Code extension that handles file operations, executes terminal commands, and connects to any OpenAI-compatible API. The 200-line implementation provides autonomous coding capabilities through a simple chat interface that can read your codebase, modify files, and run commands. Setup takes 30 minutes. The result gives you permanent control over your AI coding workflow.
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Why Build This, Beyond Waiting for Alternatives
Dependency risk drops to zero. Commercial tools get discontinued. Open source projects get abandoned. Your custom extension lives in your codebase under your control. Zero external dependencies means zero abandonment risk.
Customization becomes unlimited. You control the prompts, the model endpoints, and the file operation logic. Add project-specific commands. Integrate with your deployment scripts. Modify the behavior to match your exact workflow.
API flexibility stays open. Connect to OpenAI, Anthropic, local Ollama instances, or any OpenAI-compatible endpoint. Switch providers by changing one configuration line. Your tool adapts to whatever AI infrastructure you prefer.
Walkthrough
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