<!-- SC_OFF --><div class="md"><p>Hi,</p> <p>I taught Computer Science for 30 years in a French School of Electrical Engineering, Computer Science Department.</p> <p>I recently
<!-- SC_OFF --><div class="md"><p>Built a free alternative to Claude Code ($20-$200/mo) that uses NVIDIA's open models through the same CLI framework (FREE!).</p> <p><strong>How
<!-- SC_OFF --><div class="md"><p>Been using ClaudeCode CLI with Opus 4.6 and many MCP's and honestly its addicting. </p> <p>Just tell it what to build and it does everything —
<!-- SC_OFF --><div class="md"><p>Unfortunately OpenCode didn't have a stock way to add a model from a vLLM server until today, so made a small script for a one-line refresh of
<!-- SC_OFF --><div class="md"><p>In LM Studio the new Qwen 3.5 models (4b 9b 27b 122b) when analyzing large (more than 50k tokens) texts start to output gibberish. It is not a
<!-- SC_OFF --><div class="md"><p>Beginner here, now I have a good GPU and ollama using docker. Pulled the Gemma4 weights and was able to add it to cursor using ngrok. </p>
<!-- SC_OFF --><div class="md"><p>I am trying out some tools that are from the openwebui community that I have directed towards my LM Studio server instance. It seems really hit
<!-- SC_OFF --><div class="md"><p>Been heads down building graphify since April 5th. The idea: instead of stuffing your entire codebase into context every session, build a
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