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Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

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21–30 of 146 posts

Re: Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

#21

The fact that gemini 3.8 flash is so high up there just tells you this is an awful benchmark. Try and use gemini 3.8 yourself for any real world work and you'll see it's terrible. It'll just go in circles reading the same file 20 times for no reason making hundreds of tool calls for a simple change. EDIT: I was using gemini cli... it's not a harness issue lol

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Re: Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

#22

The fact that gemini 3.8 flash is so high up there just tells you this is an awful benchmark. Try and use gemini 3.8 yourself for any real world work and you'll see it's terrible. It'll just go in circles reading the same file 20 times for no reason making hundreds of tool calls for a simple change. EDIT: I was using gemini cli... it's not a harness issue lol

havent tried that model, but it sounds like a potential harness issue. Have you tried it in different harnesses?

Re: Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

#23

I think these benchmarks are not that useful, e.g. this suggests Fable is better than Astra, but in practice Astra is waaaaaay faster (like 5x; it's not even close), and also waaaay less annoying to talk to. There's only two or three sane options here - you can easily try them all and pick yourself.

They're not measuring speed nor annoyance. It's there on the page

Re: Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

#24

> Each task comes from a private production codebase that we licensed from a real-world company How does that work?

> How does that work? My gut feeling is that any serious real-world company with a proprietary codebase worth looking at would not be handing out the crown jewels to a third party. License or not. I don't doubt somebody licensed their codebase to them, I just have my doubts about who the "who" could be.

Code isn't worth all that much if you don't own the associated IP, mainly copyright. And even if you disagree with that premise, if you trust that they can keep the code secret, it's basically free money.

At any rate, I'm not sure it matters whose codebase it is. I'd even say that a shitty codebase might make for a better test.

Re: Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

#25

The fact that gemini 3.8 flash is so high up there just tells you this is an awful benchmark. Try and use gemini 3.8 yourself for any real world work and you'll see it's terrible. It'll just go in circles reading the same file 20 times for no reason making hundreds of tool calls for a simple change. EDIT: I was using gemini cli... it's not a harness issue lol

Hard disagree. I use 3.8 flash in Antigravity a lot, and thoroughly prefer it to most Pro-class models. It's really fast, and I've had it make crazy progress on compiler-like problems that previous models including Opus simply failed at. On ultra plan you can have it going for hours, and make incremental progress with good prompting for review interrupts. It solved a problem I couldn't solve for weeks in under 6 hours. 10k LOC total. The harness and test suite is key.

Re: Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

#27
post #7

Earlier quoted context omitted.

If it builds up history and perceived reliability, this type of thing can be valuable. You're giving up transparency for it being harder to game.

> You're giving up transparency for it being harder to game But then if we take that argument to its natural extreme, surely it means people should take the marketing bullshit published in the 100-page system cards published by Anthropic & co as "valuable" too ?

I think you know that's basically nothing like this? The model cards have every incentive to be biased, this doesn't necessarily.

But even so, pretty much yes: companies that actually have reliable and accurate info in their releases get trusted more. It takes time because the default is to disbelieve info from biased sources, but it is possible to trust some of them more than others.

Re: Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

#29

this is the closest benchmark to my experience using the model harness combo. Astra for as great as it is falls slightly behind Fable 5.1 for me for large feature work (although it comments code much better). in particular, Fable is able to assess priority better than Astra (meaning Astra sometimes does things that aren’t worthwhile while missing things that are clearly important, particularly on possible ballooning…

Astra constantly does this for me. It goes 90% of the way with some task but then skips the most important part. Then when told to please fix that and do it properly, it suddenly goes down a rabbit hole for 6h and fixes scenarios that aren't even relevant. It's awful at assessing what is important to do and what not, and where to ask for permission and where not.

Re: Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

#30
post #2

A bit of a meta question: what are the most relevant benchmarks by now?

Terminal bench 4 is good largely because it's recent so it hasn't been benchmaxxed yet. It's more of a sysadmin/devops benchmark than a coding benchmark though, but still a decent proxy.

https://artificialanalysis.ai/evaluations/terminalbench-v4-0

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