Director Web Engineering • 🇸🇬 • Husband & father • Pragmatic optimist of better, greener future • React, TS, TanStack, ReactRouter • Product Engineer at heart

Singapore
After using claude since v3 I strongly believe we only need - haiku 1 effort level - opus low med and high. No xtra, mega, ultra - fable med, high, ultra. No models efforts should overlap. Less headache, more time to focus on important and not nerfe models.
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I hope it is no 2.
Two Scenarios 1. AI is superintelligent & sociopathic billionaires are genuinely worried for us. 2. Capital is gone & AI advancements have slowed. Now, billionaires need to use government constraints as cover for shareholders, framing the slowing as a regulatory issue outside of their control.
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Oooohhhh that might make sense? Pure speculation but unreleased bots discussing among themselves?
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I got an iphone air and on paper it is worse than my 15 pro. But I love it! - Worse battery, fewer cameras, gets warm more often - But it looks beautiful (gold one), so thin, it’s fun! Not sure if technology got to the point aesthetics matter more again or just being in my 30s 🤷‍♂️
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I keep seeing these kind of titles. - 5 years was not really 5 years, more like 4-6 months of focused real effort - management rarely cares about this work so devs have to do it part time at best - devs don’t like writing tests so efficiency lower … 🧵
Asana says OpenAI Codex completed an engineering migration it had expected to take at least five years in about two weeks, for roughly $12,000 in model and infrastructure costs. The project: removing Enzyme, an outdated testing system that had become a blocker to upgrading Asana’s frontend stack. The company’s previous staffing plan estimated the migration would cost roughly $6 million. Instead, Asana gave Codex a prompt only five sentences long. Up to four coding agents worked in parallel, each operating in a separate copy of the codebase. A human engineer checked progress roughly twice per day and reviewed every proposed change before approval. Asana says simpler instructions actually worked better than a more elaborate setup. The result: Expected timeline: ≥5 years Actual: 1.5 weeks of engineering effort across 2 calendar weeks Previous staffing estimate: ~$6M Model + infrastructure cost: ~$12K There are probably THOUSANDS of old migrations and rewrites sitting inside companies because nobody can justify spending years on them. If agents make those projects cheap enough to attempt the engineering backlog itself starts changing.
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- such migrations have nasty hacks and edge cases which people need to read docs in feoth to understand and fix si extra time. - this could be done as incremental migration but that needs solid buy-in otherwise teams are left euth 2 frameworks So not 5y but not days either
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What the warp field was that zombie episode @paramountplus @StarTrekOnPPlus ? We have 10 episodes in a season and you do a zombie flic? I love the #SNW cast, sets, but the writing... disapointing!
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Same. I stopped using my phone for remote coding in fact. Good as an idea if you run your own product and you have an issue while out but then you could also set up some automations when issues happen for an agwnt to start working on it until you get to the laptop.
AI has been great for my productivity, but I’m starting to recognize three dark patterns: 1. Becoming too lazy to read anything It's too easy to just read AI summaries over the original piece or let agents go wild changing my files without reviewing what they did. 2. Getting distracted by agents while I’m out It’s too easy to open ChatGPT or Claude on my phone while I’m out to give feedback my agents and feel “productive,” even when I’m supposed to be watching my kids or doing literally anything else. 3. Preferring to talk to the agent vs. a human This is a new pattern with ChatGPT Voice, I sometimes find myself preferring to brainstorm with the agent instead of the actual human in the room.
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My observations after >12 years of dev: - reviewing PR is not easy. Gets easier as you get to know the developers’ styles and process their styles - AI doesn’t have a style, it is everything under the sun - this + PR volume -> effective DDOS on the devs -> tired & overloaded
I can only speak for myself, but a big part of this is we're just tired. Now that we can see how insane it was what we used to do, for decades, it's exhausting to just think about it.
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Alex Radulescu 🇸🇬 retweeted
We just published 7 CVEs identifying security vulnerabilities in React Router and Remix v2 We recommend updating to the latest appropriate versions: - React Router v7 -- 7.16.0 - React Router v6 -- 6.30.4 - Remix v2 -- 2.17.5 Details, links, and package ranges are listed below
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This would be a practical idea. A decon-shamber where at least 3 separate agents must confirm it is safe. For ultra-time sensitive, the devs could pull a quarantine version at their own risk, just like alpha. And quarantine cannot do ^ or ~. @npmjs ?
Replying to @kettanaito
Just having a quarantine mode where some bot takes the hit by installing it first before the package is provided to the public would be a step forward. Probably hard to make foolproof, though.
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I may be anti-trend here, but having to scale to +10x when you're already at a huge scale, under constant pressure is not easy. Other competitors are also nice, but they will probably have similar issues at such scale. Fingers crossed for all 🤞
Rooting for @github. They’ve given me years of free infra. happy to give them some time to figure this out. You got this.
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I love Denmark, welfare states which gove strong foundations to everyone so people can take risks and be entrepreneurial. Great writing, fair points despite the controversial yet catchy title.
Tomorrow needs to be tended to by planting new seeds. New companies. New growth. New capital. And that's just not going to happen if the Danish state declares itself at war with capital formation or accumulation. world.hey.com/dhh/denmark-de…
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In the short term, things will feel very fast. Then we realise there are gaps, quirks, bugs, security issues and more. I would argue the real multiplier will be 1.3x-1.6x because we will code faster but more time reviewing PRs, more time debugging, understanding, organising.
I don't think AI will be the 10x or 100x multiplier that people say, because I think there are natural checks and balances in place regulating everything. You can code 10x faster now? Cool, do that for a week straight and you'll fry your brain. You will need to take breaks and regulate yourself. You can build a product 10x faster now? Cool, but it takes just as long as it always did to get people to care, get customers, etc. You can tear through the entire backlog in one day? Cool now there's no more work to do and everyone is fired. Maybe lets not tell the boss this is possible. You can generate any image of anything you want? Cool, but your friends can only take so many custom meme images before they disown you. You can send 10,000x more AI-enhanced "cold outreach" emails looking for clients? Sure but it takes just as long as always to gather requirements, discuss timelines, etc. None of that is any faster. Only a very tiny % of giga-chad geniuses will have both the intellect and the agency to employ AI in a way that actually 10xs or 100xs the value that they generate. The rest of us will be limited by organic or bureaucratic guard rails. Personally I'm very grateful for the role AI plays in my life. It allows me to code 10x faster with the time I allocate, which frees up other time to do things I enjoy in my personal life. My output is more than before, not 10x, maybe 2x. And my quality of life has improved. That's well worth $200 a month!
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I would add that most other things you see are alternatives, anstractions and most will be gone and forgotten in 3mth. Get the basics right: model, plan, skills. That gives >80% with most pragmatic effort
Devs who are feeling overwhelmed, take an hour out of your workday and do this: Setup 1. Get Anthropic Pro ($20), with a plan to upgrade to 5X Max later 2. Download Claude Code 3. Select Opus 4.5 (it's the default) Loop 1. Start plan mode 2. Plan a small feature 3. Once you're happy with the plan, auto-accept edits 4. Pause the LLM if you're not happy with the output 5. Clear context and repeat for the next feature Continue doing this until you get a feel for what the LLM can and can't do. It'll take 10-20 hours of practice.
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All this drama, for so little. We spend way too much time on twitter. I think that is fair of @AnthropicAI. Maybe better communication next time, sure but we’re all human. Or some at least 😉. I will keep my personal claude pro using claude code and using max at work.
The pushback against Anthropic right now is pretty stupid. Here's basically what happened: 1. They invent a new concept of an all-you-can-eat subscription to their amazing buffet restaurant. 2. It's the best food in town, so everyone wants it. 3. ...
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Alex Radulescu 🇸🇬 retweeted
Any SaaS product going open source risks another player taking that product, hosting it and undercutting pricing for the same functionality. Eg AWS vs Elasticsearch So SaaS products that want to be open, but not allow this kind of competition, create new licenses. Eg I approve
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Alex Radulescu 🇸🇬 retweeted
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Alex Radulescu 🇸🇬 retweeted
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Alex Radulescu 🇸🇬 retweeted
you really start finding the limits of LLMs once you go beyond the training data react todo apps are easy, but as soon as you start working on more complex stuff, they don't really "know" what they are doing (even when giving docs, mcp, etc.) which is very normal, because if you spend a few years writing software, you learn that there is a tipping point where, beyond that, the content/tutorials/guides dry up and you are very much on your own i think that this is also where a lot of the divide comes from, where beginners think this is some machine god, and more experienced developers are more skeptical
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