Work in a realistic environment
Agents get a realistic environment to work in, with project state, context, and access to the development tools they need.
We evaluate model experiments across the Supabase developer journey, from building and deploying to investigating and resolving production issues, with real project context.
| Agent | Total | ||||
|---|---|---|---|---|---|
| 93% | |||||
| 86% | |||||
| 86% | |||||
| 83% | |||||
| 81% | |||||
| 77% |
Agents get a realistic environment to work in, with project state, context, and access to the development tools they need.
Agents take on a task from somewhere along the Supabase developer journey, from building and deploying to investigating and resolving issues.
Scoring draws on SQL checks, client calls made as real users, and the files the agent creates. When broader assessment is needed, an LLM judge reviews the result.
Claude Code's default model on most plans, at its default effort.
Claude Code's Sonnet model for daily coding tasks, at its default effort.
A cost-effective model for everyday tasks, and the one behind the Supabase dashboard assistant.
OpenAI's recommended Codex model for paid ChatGPT plans, run at medium effort.
Grok Build's default model, at its default effort.
Included as an open-weight option in OpenCode.