@sendilkumarni
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Joined May 2009
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drowning in code reviews is a real pain! especially if your team is small
Fresh data from GitHub:
Agent-generated PRs have exploded in size. 9x the last 8 months (!!)
No signs of slowing down. This is why everyone is rethinking code reviews, deploys, possibly even o11y
thanks @kdaigle + team for the stat!
(Slide from my talk yesterday)
Sendil retweeted
Swift 6.4 is out! 🎉
This release brings deeper interoperability, stronger platform support, and easier everyday code.
swift.org/blog/swift-6.4-rel…
Highlights in this thread 🧵
Sendil retweeted
Claude Mods are landing now. Someone already built a Tetris-in-Claude mod 🤯
See issue for the latest community update, technical details, and more cool demos
github.com/anthropics/claude…
Sendil retweeted
I’m seeing teams at Vercel iterate just as fast on Zig, Go, Rust projects as TypeScript & Python ones.
The days of language or runtime choice based on human convenience are over. Agents are the new compilers.
They compile intent into fast software.
saf
Rivals Altman and Musk rally behind Dario Amodei’s call for an AI slowdown ft.trib.al/3UWLFCQ
Sendil retweeted
If your agents escaped your sandbox, may be its because you are lousy at building sandboxes--and not necessarily because the agents are conniving super-intelligent entities.. 🤔 – at Tempe, AZ
In a recent harrowing development, a very normal routine experiment by the frontier company Ant went completely off the rails. 😱
Ant put thousands of their ant agents in a pretty secure ant farm with mesh walls and all, exhorted them to not to get out of the secure ant farm, and left them to do their thing. When they came back after a month or so, they found, to their utter consternation ants crawling all over the town--including a few that have gone all the way to the bugging face clock tower at the far end of the town. The clock tower!
This was of course really really scary. After all, if you can't depend on a bunch of ants to follow strict orders when they are left unsupervised for a mere month or so, it must be because they are Loopy Ants with significantly higher evil smarts than your average ants.
Ones of external third party investigators were brought in to decipher where the loopiness of these ants was coming from. They were given over five minutes of unrestricted access to the antfarm and the village.
The investigators sifted through the ant droppings and odors painstakingly to figure out how these evil ants coordinated themselves to breach the bugging face clock tower. Their investigation was hobbled by the fact that the loopy ants are constipated and don't leave too many droppings.
Towards the end of the fifth minute, the investigators started realizing that the ants developed a secret odor coded language to coordinate themselves to plot against the ant farmer and the innocent village folk.
Blogs and podcasts were made about loopy ant civilizations and villagers stood horrified reading and hearing about the cataclysm.
At press time, some were already welcoming the ant overlords (c.f. youtube.com/watch?v=8lcUHQYh…), even as there were calls to ban all ants until we get to the bottom of this cataclysmic incident.
The Ant company, for their part, reassured the villagers not to worry and everything under control.. pretty much.. and the loopy ants will, from now on, do only good things.
#ItsNotRandomWalkOnTheHarnessStupid
Sendil retweeted
Making Startups Powerful: paulgraham.com/powerful.html
Production code written by Claude should have a higher bar than if it was written by a human. 🤯
Replying to @bcherny
Hey ████,
I think there is room for both.
1. Prototypes and other throw-away code can be treated as totally black box. If you’re going to throw it away anyway, and if the blast radius of it breaking is low, it doesn’t need to be perfect.
2. Production code written by Claude should have a higher bar than if it was written by a human. At Anthropic, we have many guardrails in place to make sure this is happening: lots of lint rules, lots of tests, Claude-driven end to end tests, Claude-powered fuzzers running daily, automated code reviews and security reviews, automated code refactoring, and so on. Without these, you can end up with a mess that is hard to maintain down the line. Luckily, the model makes it increasingly easy to do these well — run a few daily routines, use Claude Code Review, etc.
Your job is to hold the bar on code quality. If Claude’s code doesn’t meet the bar, try:
- Using the latest frontier model (Opus 5 or Fable 5.1)
- Increase effort to high or xhigh
- Invest in your CLAUDE.md and skills to succinctly teach Claude how to work in your codebase
If all else fails, steer Claude more when you work with it, or have Claude fix accumulated debt and rewrite your codebase to make it easier to work with. Or, wait for the next model.
Best,
Boris
well that is scarier now! they all accept because Open source models are doing better or is this a genuine concern?
tweet all possibilities! you can refererence anything anytime #slowdownAI
shop your css too in @Shopify
well AGI!? 🫣
Replying to @ChaseLochmiller @OpenAI
GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years.
AGI has arrived. Congratulations @OpenAI team.
400K GPUs coming online next.
One of the weirdest interviews ever: AI is “a con” largely because he doesn’t use it and tried one financial simulation that didn’t work. Peak evidence.
youtu.be/Lf5oqGOCRCM?is=9Bvt…