Agree on your last point and it's going to be a very bitter lesson. In any case, you probably wanna shift alot of the code verification as left as possible so doing review at PR time isnt the right strat imo. And claude/codex are well positioned to do the local review.
Thanks for the feedback!
- Agreed that the form factor can be condensed with a link to detailed information
- With the codebase understanding, backend is where we are looking to expand and provide value
- The intelligence of the models does lay out the foundation but combining the strength of these models unlocks a system of specialized agents that each reason about the codebase differently to catch the unknown unknowns
The system focuses on going beyond the happy path and generating edge case tests that try to break the application. For example, a Grafana PR added visual drag feedback to query cards. The system came up with an edge case like - does drag feedback still work when there's only one card in the list, with nothing to reorder against?
I really want automated QA to work better! It's a great thing to work on.
Some feedback:
- I definitely don't want three long new messages on every PR. Max 1, ideally none? Codex does a great job just using emoji.
- The replay is cool. I don't make a website, so maybe I'm not the target market, but I'd like QA for our backend.
- Honestly, I'd rather just run a massive QA run every day, and then have any failures bisected, rather than per-PR.
- I am worried that there's not a lot of value beyond the intelligence of the foundation models here.
Agree on your last point and it's going to be a very bitter lesson. In any case, you probably wanna shift alot of the code verification as left as possible so doing review at PR time isnt the right strat imo. And claude/codex are well positioned to do the local review.
Thanks for the feedback! - Agreed that the form factor can be condensed with a link to detailed information - With the codebase understanding, backend is where we are looking to expand and provide value - The intelligence of the models does lay out the foundation but combining the strength of these models unlocks a system of specialized agents that each reason about the codebase differently to catch the unknown unknowns
Good work. But what makes this different than just another feature in Gemini Code assist or Github copilot?
Thanks! To execute these tests reliably you would need custom browser fleets, ephemeral environments, data seeding and device farms
what kinds of tests does it generate and how's this different from the tens of code review startups out there?
The system focuses on going beyond the happy path and generating edge case tests that try to break the application. For example, a Grafana PR added visual drag feedback to query cards. The system came up with an edge case like - does drag feedback still work when there's only one card in the list, with nothing to reorder against?
Not a direct competitor but another YC company I use and enjoy for PR reviews is cubic.dev. I like your focus on automated tests.
Thanks! We believe executing the scenarios and showing what actually broke closes the loop
Looks interesting! Looks like perhaps no support for Flutter apps yet?
Yes we currently support web apps but plan to extend the foundation to test mobile applications on device emulators