31–40 of 64 posts
It's a shame that my development work needs a specific VSCode extension (domain specific language for ERP systems) so my options are VSCode+Copilot or Cursor.
Two takes here. Cynical and optimistic. Cynical take: describing yourself as a full stack AI IDE company sounds very invest-able in a "what if they're right" kind of way. They could plausibly ask for higher valuations, etc. Optimistic take: fine tuning a model for their use-case (incomplete code snippets with a very specific data model of context) should work. Or even has from their claims. It certainly sounds plausi…
I don’t know Varun (their founder/CEO) personally but I get highly competent vibes from him. I’d let my skeptical self lean on your optimistic take.
Earlier quoted context omitted.
> it makes you not really capable of escaping the accept, accept, accept trap The definition of vibe coding - trust the process, let it make errors and recover
"press pay to think for me button" "press pay to think for me button" "press pay to think for me button" "press pay to think for me button" "press pay to think for me button" I love it
It's a shame that my development work needs a specific VSCode extension (domain specific language for ERP systems) so my options are VSCode+Copilot or Cursor.
Earlier quoted context omitted.
You might be underestimating the barrier to hiring the really smart people. Open AI/Google etc would be hiring and poaching people like crazy, offering cushy bonuses and TCs that would make blow your mind.(Like say Noam Brown at Open AI) And some of the more ambitious ones would start their own ventures (like say Ilya etc.). That being said I am sure a lot of the so called wrapper companies are paying insanely well t…
Any half decent and methodical software engineer can fine tune/repurpose a model if you have the data and the money to burn on compute and experiment runs, which they do.
Earlier quoted context omitted.
You might be underestimating the barrier to hiring the really smart people. Open AI/Google etc would be hiring and poaching people like crazy, offering cushy bonuses and TCs that would make blow your mind.(Like say Noam Brown at Open AI) And some of the more ambitious ones would start their own ventures (like say Ilya etc.). That being said I am sure a lot of the so called wrapper companies are paying insanely well t…
Any half decent and methodical software engineer can fine tune/repurpose a model if you have the data and the money to burn on compute and experiment runs, which they do.
> Enabled from the insight from our heavily-used Windsurf Editor, we got to work building a completely new data model (the shared timeline) and a training recipe that encapsulates incomplete states, long-running tasks, and multiple surfaces. This data is very valuable if you're trying to create fully automated SWEs, while most foundation model providers have probably been scraping together second hand data to simulat…
The company that is best placed to collect tons of high quality data of this type is undoubtedly Google. They’ve had publications talking about how they capture data from their in house SWE tools and use it to improve their tooling.
So because they need to have a better business model, they will try to move users to weaker models compared to the best available? This "AI inside the editor" thing makes every day less sense in many dimensions: it makes you not really capable of escaping the accept, accept, accept trap. It makes the design interaction with the LLM too much about code and too little about the design itself. And you can't do what many…
First, most of the major players already have their own models or have been developing them for some time. Your take feels a bit reductive. Take Windsurf pre-acquisition, for example, their risk was being too tightly coupled to third-party vendors. It’s only logical to assume that building task- or language-specific models will ultimately help reduce costs and offer more control.
As for the other point: in my experience, trying to fully leverage LLMs actually makes me more prescriptive in my designs. I spend more time thinking through architecture and making my code modular, more so than when I wasn’t using an LLM. I’m sure others may design less or take shortcuts, but for me it’s pushed the opposite behavior. Is it the “right” way? I’m not sure, but I’m enjoying it and staying productive.
I'm confused why they are working on their own frontier models if they are going to be bought by OpenAI anyway. I guess this is something they were working on before the announcement?
It seems OpenAI acquired Windsurf but is letting it operate independently, keeping its own brand and developing its own coding models. That way, if Windsurf runs into technical problems, the backlash lands on Windsurf—not OpenAI. It’s a smart way to innovate while keeping the main brand safe.
OAI is trying frantically to build a moat without doing any digging.