From Idea to Terminal: How I Built My First LLM-Powered CLI Tool (And What I'd Do Differently)
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I love the terminal. There's something satisfying about typing a command and watching things happen. But lately, I've been annoyed by how much context-switching I do when I'm working on AI projects. I'd have a question about my code, or need a quick summary of a file, and I'd end up opening a browser, going to some chat interface, pasting content, and waiting. So I decided to build what I thought would be a simple weekend project: an LLM-powered CLI tool that lives right in my terminal. No…
1Key Takeaways
- There's something satisfying about typing a command and watching things happen.
- But lately, I've been annoyed by how much context-switching I do when I'm working on AI projects.
- I'd have a question about my code, or need a quick summary of a file, and I'd end up opening a browser, going to some chat interface, pasting content, and waiting.
- So I decided to build what I thought would be a simple weekend project: an LLM-powered CLI tool that lives right in my terminal.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that there's something satisfying about typing a command and watching things happen.
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