Lots of commenters are simply calling this a VSCode fork and I think they're missing something important as far as how this product fits into the market.
Anthropic and OpenAI are investing a lot into this space and are now competing directly with companies like Cursor. Cursor's biggest moat at the moment is their tab completion model, which doesn't exist in the Anthropic's and OpenAI's current offerings and is leagues ahead of Github Copilot's.
Antigravity is a VSCode fork that adds both Google's own tab complete and an agent composer, similar to products like https://conductor.build/. Assuming that Google doesn't shoot themselves in the foot (which they seem to like doing), we'll see if wrappers like Cursor / Windsurf / Cognition can compete against the big labs. It's worth noting that the category seems to be blurring, since Cursor has trained not only their own tab complete model but also their own agent model.
When using codex-cli / Claude Code, I look for opportunities to improve either the AGENTS.md file based on the path that the LLM is taking or to improve repo structure, docs, var names, etc that might help make things more clear in the future. Since this is still somewhat task related, I can usually stay focused.
I haven't had much luck doing two completely different tasks at the same time. At net I think it slows me down due to the context switching.