I built Mixdog, an open-source AI coding harness that brings models from multiple subscriptions and API providers into one workspace. I simplified the setup with a short tutorial so you can connect a provider and start working without assembling the interface yourself.
One workspace, several models
Mixdog supports providers including OpenAI, Anthropic, Google and xAI. You can choose different models for different agent roles and keep multiple tasks visible in split panels. The goal is to make it easier to work with several coding models without switching between separate interfaces.
The four-panel layout is useful when you want to keep implementation, review and other independent tasks visible together. Parallel panels do not isolate changes to the same files, so tasks still need clear boundaries.
More than a chat window
The app includes browser and computer-use tools, usage information, and optional extensions. The desktop interface brings these controls together with your coding sessions. The harness is free and open source; connected subscriptions and API usage have their own costs and limits.
A practical first try
- Open the repository and choose the appropriate release download.
- Follow the setup tutorial and connect a supported provider.
- Start with a small task in a test project, inspect the changes, and run your project's checks.
- Try another model or split the workspace when you have separate tasks to compare.
I'd appreciate feedback on the setup, model switching and everyday coding workflow. Which part feels useful, and where does it get in your way?
Disclosure: I am the developer of Mixdog. AI assistance was used to adapt this English introduction from my promotional material.
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