sergeyk
Joined 15 years ago
Joined 15 years ago
1. Import your own PRs 2. We find the original spec or infer the spec 3. Agents you select (eg claude code opus 5, codex gpt 6 astra high, pi kimi k3, etc) implement the spec (starting from the parent commit of the PR, with the git history is pruned so they can’t look up the implementation) 4. Three judge LLMs grade agent solution given spec, PR implementation, and a rubric 5. You see the scores
Currently, from launching an agent to that agent being able to run tests in our Rails docker-compose environment (and to the live app preview running), is about 30 seconds. If that agent finishes their work and goes to sleep, and then hours later you come back to send a message, it'll wake up in about the same time.
(And, of course, you can launch many agents at once -- they're all going to be ready at roughly the same time.)
I think this is almost exactly what we've built with https://superconductor.dev
- set up a project with one or more repos
- set up your environment any way you want, including using docker containers
- run any number of Claude Code, Codex, Gemini, Amp, or OpenCode agents on a prompt, or "ticket" (we can add Cursor CLI also)
- each ticket implementation has a fully running "app preview", which you can use just like you use your locally running setup. your running web app is even shown in a pane right next to chat and diff
- chat with the agent inside of a ticket implementation, and when you're happy, submit to github
(agents can even take screenshots)
happy to onboard you if that sounds interesting, just ping me at [email protected]
Try NotePlan (https://noteplan.co)
Previously Gradescope.com
Previously UC Berkeley CS PhD
Previously UW