Mir Mubashshir

Interested to see whether it reduces friction or just adds another layer on top of things Designers already use.

Agent-driven browser testing that actually runs in a real browser rather than a headless mock is interesting. So much of automated testing breaks in production because the test environment doesn't match real browser behaviour. How does Expect handle sites that use bot detection or CAPTCHA flows?

Interested to see whether it reduces friction or just adds another layer on top of things Designers already use.

The fact that its open source and lets you run local models is a huge deal — no subscription, no data going anywhere, just a solid AI assistant living in your editor. the mission control feature for catching AI generated code issues on PRs is a really smart idea too. bit early still but the direction is exactly right for teams shipping alot of AI written code

The 98% accuracy claim on plant ID is a bold number and I'd be curious how it holds up on less common varieties. I have a few unusual herbs and some heirloom vegetables that most apps completely misidentify. Does it struggle more with plants that look similar to each other, like different basil varieties, or is the accuracy pretty consistent across the board?

It actually reads your codebase and understands your patterns instead of just autocompleting. Described a feature in plain english yesterday and it wired it into my existing architecture perfectly. The 200k context window is a game-changer for larger codebases