Episode Details

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 

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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"

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Check out runcanary.ai to learn more.