👋 Hey Community, When working with LLMs in development workflows, I noticed something missing: Prompting wasn’t built like engineering. It was mostly one-off text, unclear structure, and unpredictable results. Worse — most IDE integrations silently burn tokens without improving quality. No reuse. No state. No system. cliops is my attempt to fix that. cliops is built for the terminal and works inside any IDE. It helps you: - Write cleaner, more targeted prompts. - Avoid losing context or undirected actions. - Improve output accuracy by 60–80% (Which Reduce token waste) - Reuse prompts across your project, just like code It supports 200+ frameworks across 16 programming domains, and runs 100% locally — no external APIs or wrappers. Why it matters? IDEs and chat-based tools are great, but they burn tokens fast. Prompting without structure means you’re often LOSE things the model should already “know,” no matter of how your tooling were smarter. This is just the beginning. If you: Work with LLMs in real dev workflows, Or want more consistency in your prompting, Or Care about reducing prompt/token bloat. …then I’d love your thoughts. What would make cliops more useful in your stack? What prompt patterns do you rely on? Released the repo 2 days ago for early feedback, and surly will love your feedback and support.. Thanks for reading — and for checking out the project.

cliops

Your terminal just hired a prompt engineer

Your terminal just hired a prompt engineer