241–250 of 438 posts
I find a lot of these IDEs are simply not as useful as a CLI. When I'm running a full agentic workflow, I don't really need to see the contents of the files at all time, I'd actually say I often don't need to at all, because I can't really understand 10k lines of code per hour.
I used to have a pro-cursor subscription, but it was way too expensive because I'd always hit my limit. I realized I could just use claude code + the free version of cursor for autocomplete and it worked even better. At this point, I'm not understanding the value that cursor is bringing. A souped up claude code? All I have to do is wait a few months and anything useful will be in claude code or codex or whatever.
I'm now switching between Claude and Codex for less than 1/4 of what I was spending in December.
This on the other hand feels like a clear reaction to cc/codex, in a way that even kind of builds an offboarding ramp?
I've been trying to use Claude Code seriously for over a month, but every time I do it, I get the impression that it would take me less work to do with Cursor.
I'm on the enterprise plan, so it can get pricey. This is why I used to stick mostly to auto mode.
Now Composer 2 has taken over as my default model. It is not as intelligent as OpenAI's or Anthropic's flagship models, but I feel it has as good as or better intuition. With way better pricing. It can get stuck in more complex tasks though.
Being able to get in the loop, stop and instruct or change models makes all the difference. And that is why I've stayed in the editor mode until now. Let's see if 3.0 changes that.
Earlier quoted context omitted.
>I have zero interest in these new "swarms of agents" I think you misunderstand "swarms of agents", based on what you say above. An agent swarm, in my understanding and checked via a google search, does not imply working on multiple features at one time. It is working on one feature with multiple agents taking different roles on that task. Like maybe a python expert, a code simplifier, a UI/UX expert, a QA tester, an…
> does not imply working on multiple features at one time. How can multiple parallel agents some local and some in the cloud be working on a single task? How can: > All local and cloud agents appear in the sidebar, including the ones you kick off from mobile, web, desktop, Slack, GitHub, and Linear. (From the announcement, under “Run many agents in parallel”) …be working on the same task? Subagents are different, but…
I bring it up not to be pedantic, but because if you think it implies multi-tasking and dismiss it, you are missing out on it's ability to help in single-tasking.
Earlier quoted context omitted.
>I have zero interest in these new "swarms of agents" I think you misunderstand "swarms of agents", based on what you say above. An agent swarm, in my understanding and checked via a google search, does not imply working on multiple features at one time. It is working on one feature with multiple agents taking different roles on that task. Like maybe a python expert, a code simplifier, a UI/UX expert, a QA tester, an…
> does not imply working on multiple features at one time. How can multiple parallel agents some local and some in the cloud be working on a single task? How can: > All local and cloud agents appear in the sidebar, including the ones you kick off from mobile, web, desktop, Slack, GitHub, and Linear. (From the announcement, under “Run many agents in parallel”) …be working on the same task? Subagents are different, but…
I think the people doing multiple brain threads at once are doing that because the damn tools are so fucking slow. Give it little while and I’m sure these things will take significantly less time to generate tokens. So much so that brand new bottlenecks will open up…
Earlier quoted context omitted.
AI labs think they’re building an autonomous replacement for software engineers, while software engineers see these systems as tools to supplement the process of software engineering.
AI labs won't replace all of the engineers, while engineers becoming more productive, leads to smaller team sizes.
The truth is absolutely nobody knows how this will all shake out.