In this video, I test Qwen Coder — a local AI model specifically designed for coding tasks. Unlike general-purpose models, Qwen Coder is built with programming in mind, and according to its benchmarks, it should deliver performance comparable to Claude Sonnet while being small enough to run on consumer hardware.. . 🔧 Tools used:. – LM Studio. – Qwen 3 Coder Next (80B, ~50 GB). – Zed Editor. – NVTOP (GPU monitoring). . ——–. CONNECT WITH ME. 📱 Twitter / X: https://twitter.com/Zero_to_MVP. 👨💻 Linkedin: https://www.linkedin.com/company/zero-to-mvp/. . ⏱️ Timestamps:. 00:00 — Intro u0026 Why Local AI?. 01:12 — Hardware u0026 Model Setup. 02:17 — First Look: Is the Model Working?. 03:10 — Connecting to Zed Editor. 04:12 — First Real Test: Simple Python Function. 05:00 — Hard Test: Visualizing 6 Sorting Algorithms. 06:10 — Medium Test: Single Sorting Algorithm Visualizer. 07:14 — Live Demo. 07:40 — Final Verdict. . . 👍 If you found this helpful, please like and subscribe for more dev tools and programming content!
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