Setup FREE AI Coding with NVIDIA GLM 5.2 & Cloud Code (Jan.ai Proxy Tutorial)
Want a powerful, free AI coding assistant right in your IDE? In this step-by-step tutorial, we show you exactly how to configure the NVIDIA GLM 5.2 model inside the Cloud Code extension
.
Because Cloud Code specifically requires an Anthropic API format to function properly, you cannot directly connect it to NVIDIA’s OpenAI-formatted API
. We will walk you through setting up Jan.ai, a local proxy application that bridges this formatting gap so you can seamlessly route traffic and generate code
.
In this video, you will learn how to: • Locate and access the GLM 5.2 model from the NVIDIA Developer platform (build.nvidia.com)
. • Install the Cloud Code extension in your primary code editor (works on Windows, Mac, and Linux)
. • Set up the Jan.ai proxy app, enable NVIDIA NIM integration, and configure the base URL
. • Generate a secure NVIDIA API key and connect it to your local Jan proxy
. • Replace your default Cloud Code model with GLM 5.2 to optimize context windows and processing speeds
. • Use the CLI to query your local projects and analyze your entire framework using GLM 5.2's massive 1-million context window
.
Don't forget to like, subscribe, and leave a comment if this helped you set up your local AI environment!
TAGS NVIDIA GLM 5.2, Free AI Coding Assistant, Cloud Code extension, Jan.ai tutorial, VS Code AI setup, local AI proxy, OpenAI to Anthropic API, NVIDIA NIM integration, programming tutorial, code generation AI, AI software development, developer tools, John App proxy, large language models, AI coding workflow
HASHTAGS #AICoding #NVIDIA #GLM5 #CloudCode #JanAI #SoftwareDevelopment #CodingTutorial #WebDevelopment #AIProgramming