Before you mark this PR as ready for review, make sure that you have:
- [x] Added a solid test coverage and/or screenshots from doing manual
testing
- [x] Done a self-review taking into account security and performance
aspects
- [x] Aligned any UI changes with the [UI
checklist](https://github.com/zed-industries/zed/blob/main/CONTRIBUTING.md#uiux-checklist)
Per Opencode's website:
> Zen gives you access to a curated set of AI models that OpenCode has
tested and benchmarked specifically for coding agents. No need to worry
about inconsistent performance and quality, use validated models that
work.
> - [x] Testing select models and consulting their teams
> - [x] Working with providers to ensure they're delivered properly
> - [x] Benchmarking all model-provider combinations we recommend
There are so many models available, but only a few work well with coding
agents. Most providers configure them differently with varying results.
The models under the Zen umbrella typically have a more reliable
token(s) per second speed with minimal outages. The opencode ecosystem
has improved my workflow if not many others' !
Release Notes:
- Added [Opencode Zen](https://opencode.ai/zen) to list of providers
---------
Co-authored-by: Ben Brandt <benjamin.j.brandt@gmail.com>
Co-authored-by: Bennet Bo Fenner <bennetbo@gmx.de>
