señor staff lead head of frontend engineering blue check Just memoise it bro, just one more useState bro 37 items in deps array is fine bro just one more useEf

the hague
Joined October 2023
avi retweeted
my *personal* opinion about this is that it's basically too late w/ deepseek flash 1017 and we should just rip the bandaid off and let everyone rip everything apart together we need to trust in humanity and give them the tools to defend themselves, instead of baseline expect criminality
anthropic just killed the REA it stops claude from doing it that’s why local models are important
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"whatever you now find weird, ugly, uncomfortable and nasty about a new medium will surely become its signature. CD distortion, the jitteriness of digital video, the crap sound of 8-bit - all of these will be cherished and emulated as soon as they can be avoided." - brian eno
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This is such a banger rule in @opencode's AGENTS.md "Before adding complexity for a speculative or vanishingly unlikely race or security edge case, explain the concrete failure mode, likelihood, and complexity cost to the user and get their buy-in. Do not silently expand scope for theoretical robustness."
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I kid you not, sometimes I talk to an AI and they are stunned by my insight into architecture
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There must exists an app with PHP, deployed on Railway, with calls to cURL, with other services written in node that use Brotli compression running on a couple day old Linux, with their code self managed on GitLab They are having a hell of a week
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DeepSeek V4.1 Flash 1017 runs at 1,521+ tok/s on Fireworks Ultrafast. Fast enough to ship Tetris in 11 seconds, 7x faster than Claude Opus 5.5. Join the Ultrafast waitlist: bit.ly/3UA0wKq
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I just realized that @EffectTS_ would probably be essentially ignored if released today even in the exact same state It’s just so big that everyone would assume it’s slop and there’s no way someone actually put enough thought into making something that big actually well designed
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🚀 Introducing DeepInfer, our in-house inference framework, now fully open source! Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable. 🔗 github.com/deepseek-ai/DeepI… 1/4
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Introducing Motherload — import data files from TypeScript with full type information 🪎 Powered by TypeScript 7.1's content mappers (now in beta) 🪎 .md 🪎 .toml 🪎 .yaml 🪎 .csv / .tsv 🪎 .jsonc / .json5 🪎 .txt 🪎 .env
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avi retweeted
We're truly living in amazing and terrifying times. In the past few months, I've built: ‣ A Netflix/YouTube alternative for my son: I upload the exact videos I want from any video platform just by entering the URL. He gets a nice experience with no algorithms. ‣ A writing tool that helps me with grammar, fact-checking, alt text, etc. ‣ A visual regression tool that can take hundreds of thousands of screenshots for $5/mo (compared to thousands of dollars with other solutions). ‣ A browser extension that lets me pin comments to any element on any page so I can generate a prompt for an AI agent. ‣ Lots of fun educational mini-games for my son whenever he has trouble learning something. And plenty more. I wouldn't have had time to build any of this without AI.
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Skeletons are the worst cancer in the history of user interfaces. Just make loads fast. Ping across the ocean is never more than 200ms, maybe 300ms if you're Australian, just return the damn data at that speed and you never need to even think about this crap.
design eng tip for skeleton UIs: ask your agent to measure the loaded UI with Playwright then match the skeleton's sizes and positions to prevent layout jank
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I was interviewing someone with 4 years of OCaml experience, and said: "The language solved problems I didn't know I had, but the tooling invented problems I didn't know were possible"
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How long it took me to find each SWE job: 2014: 1 job applied, 0 interviews, 1 day (nepotism) 2015: 1 job applied, 2 interviews, 1 week 2016: 1 job applied, 4 interviews, 1 week 2016: 1 job applied, 0 interviews, 1 day (friend is a CEO) 2018: 1 job applied, 2 interviews, 1 week 2019: 1 job applied, 5 interviews, 1 week 2021: 1 job applied, 0 interviews, 1 day (invited) 2022: 7 jobs applied, 16 interviews, 3 months 2026: 167 jobs applied, 54 interviews, 1 year 4 months
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avi retweeted
Saw a guy call it cuck coding instead of vibe coding because you just sit in a chair and watch😭
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Replying to @cgtwts
i am speed i am altitude i am depth i am range
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in 3 weeks we're gonna have @DarioAmodei announce that @AnthropicAI had an even bigger more dangerous scarier spy caught in their office. He will have done more than just place a bug or two.
We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work. At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated. We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.
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avi retweeted
this is the future of coding agents
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avi retweeted
GLM-Legal uncensored:
Introducing GLM-Legal Built on GLM-5.3-Flash, GLM-Legal matches frontier models on mainstream legal benchmarks. Designed for real legal workflows: contract review, evidence analysis, compliance, and more. Tech Blog: z.ai/blog/glm-legal Apply for API Access: z.ai/consultation/legal Try AutoClaw: autoclaw.z.ai
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Replying to @itsoksmit
This is like receiving an email from Hitler apologizing
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Good idea (Building something to make this even better...)
Instead of .md specs, try this: make the system a state machine (or rather, a reducer). Ask your slopus to make an interactive diagram with real events from your flow and the real reducer. Step through them, asking the agent "whys" this and that.
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