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  • Hacker News
  • Heads up to anyone else curious, I installed the Devin CLI and SWE-1.7 is not currently available there.
  • It is now, at least for me. Latest Devin CLI version: v3000.1.27 I don't think SWE is geo-restricted.
    by _jx
  • Would have been worth a consideration if it could have been used beyond it's own harness. Unfortunately, doesn't seem to be the case.

    https://x.com/theodormarcu/status/2074896486047834380

  • Ugh, that changes everything. If I wanted an arranged marriage I could go back to Claude Code.
  • Harness-wrapper tools that support multiple harnesses and allow sharing workspace features (skills, slash commands, etc.) between them will be meta.
  • I really don't want harness lock-in. I am trying to decouple myself from Claude Code now. I love the model of OpenRouter and being able to switch models at will let's your harness focus on your personal tooling and you can easily switch to the flavor of the month LLM with a single slash command instead of rewiring your entire workflow to use a harness to use a model.

    I like Cerabras, but I really wish they would make more of their hosted models generally available.

  • I’ve unfortunately had to temper my excitement with Cognition’s models/products given the amount of unwarranted hype they created with Devin on first release, but hopefully this is good.
  • I work with Devin daily (as well as Claude and a few others) and I can attest it's not a cheap product but it's a good one and it saves me a bunch of time.
  • https://devin.ai/pricing

    Apparently 'free' on the $20/mo Devin plan (presumably within some quota still)

    and that is "via Cerebras at 1000 TPS" according to the announcement

    I live on Opus 4.8 High and their benchmark scores SWE-1.7 slightly higher ... if at all realistic that sounds like a great deal ... too good to be true?

  • The 1000 TPS shows for me as "SWE 1.7 Lightning" and took 14% of my daily quota in one prompt on the $20 plan.

    But the normal speed one seems to be free or with very generous limits.

  • The "Lightning" (Cerebras) variant isn't free, only the regular one, which runs closer to 50 TPS in my experience with SWE 1.6.
  • I used SWE-1.5 and 1.6 when it was Windsurf (before Devin Desktop), it's not that bad (grunt work, tests, can actually plan and implement some medium level stuff) but you get a much much better value and better models (GPT-5.4^) going with a Codex subscription (plus you get resets).

    That company truly subsidized its user base to the extreme before, the $15/mo subscription was the best value on Earth paired with weekly deals reducing credits for premium models. Now it's barely any messages for paid models, completely watered down.

  • Not finding anything about this while searching huggingface: https://huggingface.co/search/full-text?q=SWE-1.7 i assume this is another closed source model?
    by taf2
  • Yes, and not only that but you can't even access it via API, you can only use it in Devin (formerly Windsurf).

    I'm an OpenCode user, but I'll fall back to Claude Code if I want to use Opus end to end for something, given my company has a subscription. But I'm not using yet another tool and subscription for a model that isn't even winning.

  • Open weight models should have GPL-like license where it says if you train model on it, it needs to be open weight as well.
  • I've always had mixed feelings about Cognition. Obviously they have some very, very smart people working there (I even know a few), and they do make real products. But at the same time, they've made suspicious marketing claims more than once and even been caught making outright fabricated ones; and while they certainly seem to have shaped up from that, I still find their claims to be in a sort of grey area where they seem to avoid unfavorable comparisons and lean on their own benchmarks. Certainly when I've tried their models they have not been nearly as useful as comparable versions of Claude, GLM, etc. -- though I haven't had a chance to try SWE-1.7 yet.
  • A company whose first demo was completely fraudulent announces that its model beats GPT-5.5, on its own benchmark? I’m gonna wait a little before I trust this.

    This whole company seems to optimize for raising money and impressing VCs. Lying about their products, ignoring consumer market to target enterprise, bragging about how they work their employees like slaves, and writing these posts full of intimidating technical jargon...

  • What happened ?
  • Would love to see these companies use benchmarks done by third parties.
  • I highly respect many people at cognition but yeah that's put a sour taste in my mouth.

    I want to work in the AI space on actual AI research, at any part of the stack. Even if I'm developing training infra - as long as people are advancing knowledge of what intelligence could be.

    But it seems like either it's big labs or grifters, that's it, and even the big labs, at least publicly, seem very grifty at times. Not like I have the technical chops probably, but still.

  • This is inevitable when the primary incentive is to raise aggressively. Overall I dont find cognition blogs that jargony, there are definitely worse offenders
  • Link for this?
  • > "A company whose first demo was completely fraudulent"

    Could you expand on this?

  • To be fair it does seem like most AI startups are now like this (particularly when it comes to constantly mentioning how hard they work and ignoring consumer markets).
  • Cognition... oh what a ride... We were customers when they acquired Windsurf, stopped offering customer support, raised prices, dismantled the brand, and raised prices again. We are not customers anymore. Benchmarks are not the only thing to worry about when you are using models.
  • We need more models that optimize for coding and that can be cheaper than frontier models, like what SWE 1.7 and composer 2.5 are trying to do. I don't think there's an effort to make something GLM-5.2 level but focused only on coding.
  • And make it run locally!
  • Qwen was doing something like this with their coder models. But alas, they seem not to be releasing those anymore. Last one was Qwen3-coder-next.
  • Defining what "coding" means now, and how quickly we fall off the capability cliff seems increasingly important.

    Today my "coding" sessions often enough begin with real life problems, where I discuss domain or inter-domain things, ranging from business, economics, psychology, etc. Being able to do all of that with one model is something I am willing to pay a premium for.

    Of course not having to pay the premium, because the routing is smart or whatever, would be great. I just don't want to have to think about it.

  • This isn't as easy as it sounds. Every ML model is struggling to balance between generalization and test performance.

    Taking a good model like GLM5.2 and just fine tuning it on coding can decrease real world performance due to mechanics like catastrophic forgetting. There is also other interesting behaviors were training on a broad training set can improve coding performance because there is positive transfer.

    There is 100% an effort to make solid coding focused models, but it is very hard to do that without including capabilities across a broad set of adjacent tasks.