No reviews yetBe the first to leave a review for Cursor 3
Lightfield — AI-native CRM that builds itself and does work for you
AI-native CRM that builds itself and does work for you
Promoted
the parallel agents angle is what makes this interesting. running multiple agents on the same codebase has always felt risky. curious how you handle conflicts when two agents touch the same file
Report
Downvoting and downgrading to Cursor 2.3... Here's why: - Lost VSCode functionality - extensions, code formatting, etc. - Lost recent agent changes review - instead they offer a basic Git diff in this version. - Unreadable interface, low visual contrast. - No settings. Where did they go? - Vibe-coding tool instead of a developer tool.
In my point of view Cursor 3 is a downgrade. The only advantage is parallel agents, could be achieved with Cursor 2 using command line. If Cursor continues developing in this direction, I'd seriously consider switching to other IDE.
You pick a tool, dive into it, and use it until their competitor releases a new version. I'm jumping between Cursor, Claude Code, and Codex.
Report
Curious how this handles context across multiple agents running in parallel — does it maintain shared memory between them?
Report
Honestly pretty disappointing of an update. If you didn’t tell me there was an update I wouldn’t have had any idea.
Report
I have been having a great time with Cursor IDE. But there seems to be a lot of updates in recent times that seem so hard to catch up with. I have also been seen some breaking in external integration
most ai coding tools still assume you're working on one thing at a time in one place. you kick off a task, wait for it, then start the next. if you want to run something in the cloud, that's a different context, and if you need to review the diff or open a pr, you're back in the browser or a separate terminal tab. the agent does work, but the workflow is still fragmented.
what cursor 3 is doing differently is treating the workspace as the unit, not the editor. being able to run parallel agents across repos, hand off sessions between local and cloud without losing context, and review prs from the same place you kicked off the task, that collapses a real chunk of the context-switching overhead that currently just gets accepted as the cost of working with ai.
the parallel agents angle is what makes this interesting. running multiple agents on the same codebase has always felt risky. curious how you handle conflicts when two agents touch the same file
Downvoting and downgrading to Cursor 2.3... Here's why:
- Lost VSCode functionality - extensions, code formatting, etc.
- Lost recent agent changes review - instead they offer a basic Git diff in this version.
- Unreadable interface, low visual contrast.
- No settings. Where did they go?
- Vibe-coding tool instead of a developer tool.
In my point of view Cursor 3 is a downgrade. The only advantage is parallel agents, could be achieved with Cursor 2 using command line. If Cursor continues developing in this direction, I'd seriously consider switching to other IDE.
NovaVoice
Congrats on your launch, Cursor team.
This developer tools race is insane.
You pick a tool, dive into it, and use it until their competitor releases a new version. I'm jumping between Cursor, Claude Code, and Codex.
Curious how this handles context across multiple agents running in parallel — does it maintain shared memory between them?
I have been having a great time with Cursor IDE. But there seems to be a lot of updates in recent times that seem so hard to catch up with. I have also been seen some breaking in external integration
Features.Vote
most ai coding tools still assume you're working on one thing at a time in one place. you kick off a task, wait for it, then start the next. if you want to run something in the cloud, that's a different context, and if you need to review the diff or open a pr, you're back in the browser or a separate terminal tab. the agent does work, but the workflow is still fragmented.
what cursor 3 is doing differently is treating the workspace as the unit, not the editor. being able to run parallel agents across repos, hand off sessions between local and cloud without losing context, and review prs from the same place you kicked off the task, that collapses a real chunk of the context-switching overhead that currently just gets accepted as the cost of working with ai.