goyozi

7 ms·

1.
by goyozi 18d ago
An interesting version of this is when a team basically internalizes some issues in the software they work on and it turns into something they accept as a fact of life or even turn into a joke. „X failed again? Don’t bother, it’s been a shi
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by goyozi 2mo ago
I’ve experimented a bit with this approach for quasi-benchmarking models. Most models nowadays will keep trying until you cut them off, they’re happy to go into millions of tokens for an easy task, digging deeper and deeper into crap design
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by goyozi 2mo ago
While I wish the models were glazing less, I don't think I want them pushing back more until they get smarter. The current Opus situation where it questions good, thought-out decisions is a bit mad. It may be better if the model aske
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by goyozi 3mo ago
> clients of established products aren't really waiting for massive changes and gigantic features to be added In some cases they do. I work in a B2B vertical SaaS company and there’s both features that competitors build or rough edg
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by goyozi 3mo ago
Fun idea, I love it!
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by goyozi 3mo ago
Initially just a few sentences on what the project is about and the tech stack. Can be as little as 2 sentences + 5 bullet points. After that it’s things I see the LLMs get wrong in practice. For almost all projects it’s when to use which b
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by goyozi 3mo ago
Holy smokes, one could call this condescending but assuming both politicians and an average reader don’t understand how exponents work feels a step above. And that’s before you get to the part where it’s all about a great idea and hard work
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by goyozi 3mo ago
No links to share but: - a self-hosted PaaS with CI-driven deployments, managed by terraform (and possibly other IaC in the future) - think Coolify but with IaC or Komodo but easier to run full-stack apps (databases, queues and OTEL support
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by goyozi 3mo ago
wdym? Nobody's paying me or rewarding me for using these tokens. I had some spare in my subscription limit (we're not on token pricing), so I decided to try an ambitious task that may reduce our CI times and improve our DX signifi
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by goyozi 3mo ago
Well, I used an extreme example. OTOH, I’ve done quite a few of those „fix CI” or „migrate X” prompts recently and while there is a fixed component like running CI / builds, I’d say the LLM time is still around or above 50%, especially
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by goyozi 3mo ago
I replied in more detail under another comment. TLDR: fixing flaky CI across multiple branches
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by goyozi 3mo ago
I’m rewriting our integration test suite to run tests in parallel. I have the changes split across 7 branches, and each needs to be fixed to have no flaky tests. I told it I want 3 consecutive CI runs with no flakes and no artificial fixes
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by goyozi 3mo ago
Fast AI seems genuinely exciting and somewhat unsettling to me. Right now Claude is faster than me on some tasks but we’re at least close. I have a prompt to clean up a PR that’s been running for 1h now and I expect it to take another few.
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by goyozi 3mo ago
The answer is quite simple, even if not satisfying: - recommendations take time to re-calculate - downvotes are not a global exclusion filter There are a lot of approaches to recommendations, and I imagine the biggest players having a mix o
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by goyozi 4mo ago
I don’t follow the debate and situation in the US that closely but isn’t (part of) the point of wealth tax to offset the fact that rich people are routinely avoiding paying income tax and taxes in general? Thus even if we assume the simplis
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by goyozi 4mo ago
All of the growing pains listed in the article can be observed in pretty much any framework in any language. Certain patterns and designs might be more present in some environments than others but I’m yet to see a framework that still guide
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by goyozi 4mo ago
I feel like I had the best and worst ~month experience on 4.6. Initially when it came out, it seemed to ask good questions and genuinely do well on complex tasks. From about mid-March it was absolutely abysmal, it seemed to assume the stupi
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by goyozi 4mo ago
These are very good numbers. I still don’t get why they don’t compare against latest competitor versions in these posts, it’s not like we’re all not going to notice.
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by goyozi 4mo ago
Not saying it’s good but I think it’s quite common for devs to have read only access to everything. I suspect that with all the recent news, including this, the needle might start to shift a bit. I think it’s actually non-trivial to determi
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by goyozi 4mo ago
https://xcancel.com/i/status/2056949168208552080
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by goyozi 4mo ago
I kind of want to try it, to see if and how far they can take an open model and improve it but I really don’t miss the Cursor user experience. Constant UI changes, half-baked features, smaller and smaller limits, useless AI change attributi
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by goyozi 4mo ago
As for why we are not worried enough, my guess would be that we’re too preoccupied with the impact on coding process itself, there isn’t enough attention put on other parts. In terms of general working practices, there’s 2 things that I thi
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by goyozi 4mo ago
Really neat, I’ll have to try it when I’m at home. Lean, fast tools really make a difference in the coding experience. I’m curious how the prompts idea performs in practice compared to typical skills and subagents. I frequently combine the
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by goyozi 4mo ago
At least they’re not claiming the people aren’t needed due to the AI efficiency. I don’t really understand the logic behind those massive hiring/firing decisions but both in 2023 and now I’ve been feeling that it’s a fad/trend dec
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by goyozi 4mo ago
You have my upvote because I love Git-based apps. There’s something cool about Git being an effective database with loads of free hosting options. I’d (re)consider a couple of things if you intend to work on it and make it viable for a wide
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by goyozi 4mo ago
I don’t think you’re too cautious. Big upgrades and rewrites is somewhat of a „work hobby” of mine and this seems waaay too fast. I don’t know how the Bun canary process works and I guess their test suite is better than typical projects but