Bnjoroge

It is not difficult to believe that the frustration of racist people seeing black people more successful contributed to it. In fact, it's the most obvious and straightforward explanation for it, given the fact that it's 1)1921, 4 or so decades before the Civil Rights act, and in freaking TULSA lmao

you are incredibly naive, ignorant or oblivious if you dont think a primary reason was because of their race in TULSA in 1921. Cmon man -read some history

honestly the entire country up until maybe 40 or so years ago

infisical is great so excited to see this

I believe you have to disable the toggle, but not sure if it applies to folks who dont use copilot: https://github.com/orgs/community/discussions/188488

Plenty of other companies enable this by default too, such as Github, Figma, Adobe, Vercel. I think it's fair to assume that if you ahve data stored within any company, they'll by default use it for training.

you just need pedigree. any kind. where you went to school, where you worked etc.

Looks cool - would be great to see a PR with some benchmarks on this repo if you can: https://github.com/computesdk/benchmarks

edit: just saw the pr for freestyle. something seems to be blocking, but curious how it compares: https://github.com/computesdk/benchmarks/pull/41

that's absolutely not what he said lmao. he said it's far down on our list of priorities, which is true.

there's zero difference between a photo taken by them and one by cameras on ISS.

the hell does that have to do with anything

> it's instructed to understand both sides before resolving. This is the crux of the issue. You are delegating the resolution of conflicts to an agent, which is fine, but doesnt solve the core issue that there's no scalable way to actually do this. It is far from a solved problem lol, just because your agents havent had issues resolving them.

Looks cool! Two things: I see you mentioned the merge queue, but how exactly do people avoid or resolve merge conflicts when merging work from two or more agents in the separate worktrees? I havent really seen a seamless way to approach this or do people just have the agents work on distinctly unrelated stuff? Secondly, are containers the primary sandboxing appraoch? or do you support vms?

because you probably need both if you are doing guided agentic work. IDE gives you the familiar benefits, especially code nav. If you are using background agents or launching agents without reviewing their work, then I guess you dont need an IDE.

Agree with this. I find myself switching panes between conductor or codex and zed because of code navigation. Maybe that's what cursor is trying to do in their new version, but I havent tried it yet

That philosophy wouldnt help justify the narrative for their massive valuation.

There's a big difference between the two. If you still think agent-guided development doesnt work well, you need to update your priors

Lots of LLM-isms in the article from a very casual scan so going to assume nothing interesting here

thats like looking for a unicorn.

so is this a remote CI/CD that I can run locally? how's this different from CI thata allows me to ssh into a remote CI/CD host?

Atuin is open source. You dont like their new release? Fork the previous repo, and customize it however you want. That's the whole essence of open source.

I’ve read and used some of the author’s software. I trust them to make good judgement of using AI.

It’s fine - I like the introduction of AI. It’s optional - if you don’t want it, turn it off or don’t use it

It’s optional- you can choose to opt in or not.

Sure but they dont have to act all insufferable about it lmao. Just say it was the best outcome not a bunch of bullshit

hilariously bold take with no evidence to support the claim

Agree on your last point and it's going to be a very bitter lesson. In any case, you probably wanna shift alot of the code verification as left as possible so doing review at PR time isnt the right strat imo. And claude/codex are well positioned to do the local review.

what kinds of tests does it generate and how's this different from the tens of code review startups out there?

yeah and I wouldnt be surprised if some oltp database platform is in the horizon as well. iirc they already acquired rockset. The eventual goal for these AI platforms is to own the entire e2e platform for e2e agents, from literally the language ecosystem(anthropic betting on TS/Bun) to local dev tooling using their harnesses to production-grade stuff that an agent needs.

vcs gotta eat somehow, and iirc they were building a "fastapi cloud platform"