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AI coding tools are making developers faster than ever
QA still hasn't caught up
Aakash saw it firsthand at Windsurf during the AI coding explosion
Then realized:
QA is probably a bigger bottleneck than coding itself
So he built Canary
An AI QA engineer that reads your source code, maps changes to real user flows, spins up remote browsers, and drops video recordings directly into the PR
15 minutes instead of days
Now the workflows are getting even crazier
One customer already runs a fully autonomous loop:
Linear ticket → Cursor background agent → PR → Canary QA → Merge
The engineer just reviews the outputs before approving the change
Code generation is becoming autonomous
QA has to become autonomous too
🎙️ Aakash Mahalingam, Co-founder & CEO, Canary on Fondo START pod
00:15 What Canary does
0:57 Spinning up remote browsers to test
1:42 User flow validation vs file reviews
2:29 How this changes developer workflows
3:12 Lessons from Windsurf and Cognition
3:43 QA is a bigger bottleneck than coding itself
4:08 Pivoting inside YC from regression to feature testing
5:02 Applying to YC five times
6:11 Background agents opening PRs autonomously
6:37 "They didn't write a single line of code to merge that"
Check out runcanary.ai to learn more