Host Your Own Copilot

The article discusses the advantages and challenges of self-hosting coding co-pilots, particularly in light of privacy concerns and the costs associated with commercial options like GitHub CoPilot and SourceGraph Cody. It highlights the emergence of open-source models such as DeepSeek-Coder-V2 and Mistral V2 Large, which can be alternatives for those looking to maintain control over their code without exfiltration risks. The author emphasizes the importance of understanding licensing agreements, as some models have restrictions that may limit their use in larger organizations. The setup process for integrating these models with tools like VSCode is outlined, including the use of plugins like Continue.dev and Nvidia's Inference Microservices (NIMs) for easier deployment. The article also touches on the performance of these models, suggesting that they can rival commercial offerings in terms of code completion and analysis. Ultimately, it presents self-hosting as a viable option for individuals and companies seeking to leverage AI coding assistants while safeguarding their data.

- Self-hosting coding co-pilots can mitigate privacy concerns associated with commercial models.

- Open-source models like DeepSeek-Coder-V2 and Mistral V2 Large offer competitive performance.

- Understanding licensing agreements is crucial for compliance, especially for larger organizations.

- Tools like Continue.dev and Nvidia NIMs facilitate the integration of LLMs with development environments.

- Self-hosting provides control over data and reduces the risk of code exfiltration.