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What is Kilo Code?

Kilo Code is an open source AI coding assistant designed to work directly within VS Code. It helps developers plan, build, and debug code using a choice of over 500 different AI models. The tool operates on a local-first basis, meaning your code stays on your machine rather than being sent to external servers, which appeals to developers concerned with privacy and security. Kilo positions itself as a practical alternative to proprietary coding assistants, offering similar functionality without vendor lock-in. It's particularly suited to developers who want control over which AI models power their assistant, prefer working with open source tools, or need to keep their codebase private during development.

Key Features

Local-first operation

code remains on your machine and isn't sent to external servers

Model flexibility

choose from 500+ AI models to power your coding assistance

VS Code integration

works natively within the editor as an extension

Code planning assistance

helps you structure and design code before writing

Code fixing and debugging

identifies and suggests fixes for problematic code

Open source availability

free to use, inspect, and modify the tool itself

Pros & Cons

Advantages

  • Privacy-focused approach with local-first processing keeps your code private
  • No vendor lock-in since it's open source; you can modify or fork the project
  • Flexible model selection lets you choose the AI that works best for your needs
  • Free to use with no subscription fees or usage limits
  • Direct integration into VS Code means minimal workflow disruption

Limitations

  • Requires technical setup and configuration to get running, especially compared to point-and-click alternatives
  • Quality of assistance depends heavily on which model you choose; some may be slower or less accurate than commercial options
  • Community-driven development means support and feature updates may be less consistent than commercial products

Use Cases

Developers who need to keep source code private and won't use cloud-based AI services

Teams building applications with strict data governance requirements

Developers wanting to experiment with different AI models without being locked into one provider

Open source contributors who prefer working with open source tooling

Companies building internal coding assistants and wanting to modify Kilo to fit their needs