Andrii Kuzovchykov

This hits a real nerve. I've lost count of how many bug reports I've gotten that just say "it doesn't work" with a screenshot of a blank page. Having non-technical team members capture actual request context without opening DevTools is a smart approach. Question: do you plan to support auto-redaction of auth tokens/sensitive headers before export? That would make it much easier for support...

The "one script tag" distribution model is really smart — reminds me of how Stripe won by making integration dead simple. The DOM-native approach vs screenshot-based agents is a meaningful architectural choice, especially for speed. As someone building a SaaS product, I'm curious: how does Rover handle localized sites with multiple languages? Does the semantic action tree work across different...

The observational memory approach is really compelling. Context compaction has been my biggest frustration with long coding sessions — you lose that one architectural decision from 2 hours ago and suddenly the agent is working against your own codebase. Question: how does the memory layer handle conflicting information? E.g., if early in a session you say "use REST" but later switch to...

This solves a real pain point. I've been running Claude Code sessions sequentially and the context switching kills momentum. The sandbox isolation per task is smart — I've definitely had agents step on each other's changes when working on related files. Question: how does the diff viewer handle conflicts when two agents modify overlapping files? Is there a merge flow or does it flag it for...

Really impressive how you've nailed the mixed-language dictation — that's a genuinely hard problem. As someone building AI tools myself, I appreciate how much infrastructure work must have gone into making this feel seamless across 100+ languages. Curious: how do you handle the tone matching when someone switches languages mid-sentence? Does the model treat it as one unified context or separate...