About the project
Built in India. Built for developers.
TuxNest is a plug-and-play, local-first AI coding agent for VS Code. Install the extension, connect a supported local or cloud model, and build with reviewable changes and visible verification.
The idea
Keep the tools close to the code.
No separate IDE. No mandatory hosted inference. Model and execution choices remain explicit.
Install
Work directly inside Visual Studio Code without switching editors.
Connect
Choose a supported local Ollama model, your remote GPU via SSH, or an explicit compatible endpoint.
Build
Inspect repositories, plan edits, approve changes, execute permitted tools, and review actual verification evidence.
Creator and development
Paladugu Ganesh Naidu.
Creator, lead developer and project owner of TuxNest. The project focuses on controllable local-first AI development workflows for software engineers.
Credits
Mentors & reviewers.
Acknowledgements are distinct from project creation and ownership.
Theja Nallani
Mentor and reviewer.
Vinith Shukla
Mentor and reviewer.
Contributors
Project contributions and licensing details are available in the repository.
Open source · MIT licensed
Install. Connect. Build.
Explore TuxNest on the Visual Studio Marketplace, then connect your preferred supported model.
TuxNest hybrid compute
Your GPU. Your AI. Your Control. Anywhere.
TuxNest connects a reviewable VS Code coding workflow with selected local models, SSH-tunneled models on user-controlled GPU workstations and explicitly configured compatible endpoints.