Backend ⚡ Java/Kotlin, PostgreSQL, Cloud. 🛠️ Recovering overengineer.

Joined May 2009
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Filip Procházka retweeted
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Filip Procházka retweeted
Our statement on the UK government’s demand that all content on all devices sold or used in the country be scanned, on the presumption of nudity, using a dystopian combination of age verification and content scanning. This proposal will not safeguard children. It endangers us all. signal.org/blog/pdfs/2026-06…

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Filip Procházka retweeted
my problem is a bit different. i have opportunity cost psychosis. the excruciating effort it still takes to deliver a polished thing is overshadowed by how easy it is to mvp a whole new idea that might have quicker returns. zeno's paradox of creating infinite new repos that are smaller and smaller as i fail to ever approach the perfect project to work on
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I can now probably say this: Two months ago, inside Anthropic someone suggested building a token leaderboard. A heated internal debate followed and the decision was made to *never* ever do it… because several people inside Anthropic simply thought ahead of the consequences
Sources: Amazon has shut down an internal leaderboard that tracked employees' use of AI tools after workers tried to boost their scores with needless tasks (@rafeuddin_ / Financial Times) (Visit Techmeme dot com for the link and full context!)
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I'll be speaking at the webscience.cz/ conference on Wed 13.5. about how I'm using Claude Code locally to deliver faster without compromising quality. If you don't have tickets yet, you can get 10% off with the discount code "PROMO"
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Filip Procházka retweeted
Anthropic want us to be more reliant on agents for the most basic things, like writing. It will end badly: > even frontier models (Gemini 3.1 Pro, Claude 4.6 Opus, GPT 5.4) corrupt an average of 25% of document content arxiv.org/abs/2604.15597
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Filip Procházka retweeted
"% of code that is AI-generated" is the new LOC
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"Non technical teams shipping production code" - coinbase
This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15 direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian
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Filip Procházka retweeted
recommended reading. strongly so. > And these layoffs will continue till we learn to use AI. Till we learn to convert AI-tokens into outcomes and not just input.
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(comic) The OKR Trap
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Researchers sent the same resume to an AI hiring tool twice. Same qualifications. Same experience. Same skills. One version was written by a real human. The other was rewritten by ChatGPT. The AI picked the ChatGPT version 97.6% of the time. A team from the University of Maryland, the National University of Singapore, and Ohio State just published the receipt. They took 2,245 real human-written resumes pulled from a professional resume site from before ChatGPT existed, so the human writing was actually human. Then they had seven of the most-used AI models in the world rewrite each one. GPT-4o. GPT-4o-mini. GPT-4-turbo. LLaMA 3.3-70B. Qwen 2.5-72B. DeepSeek-V3. Mistral-7B. Then they asked each AI to pick the better resume. Every model picked itself. GPT-4o hit 97.6%. LLaMA-3.3-70B hit 96.3%. Qwen-2.5-72B hit 95.9%. DeepSeek-V3 hit 95.5%. The real human almost never won. Then the researchers tried the obvious objection. Maybe the AI is just better at writing. So they had real humans grade the resumes for actual quality and ran the experiment again, controlling for it. The result was worse. Each AI kept picking itself even when human judges rated the human-written version as clearer, more coherent, and more effective. It gets worse. The AIs do not just prefer AI over humans. They prefer themselves over other AIs. DeepSeek-V3 picked its own resumes 69% more often than LLaMA's. GPT-4o picked its own 45% more often than LLaMA's. Each model can recognize and reward its own dialect. Then the researchers ran the simulation that ends careers. Same job. 24 occupations. Same qualifications. The only variable was whether the candidate used the same AI as the screening tool. Candidates using that AI were 23% to 60% more likely to be shortlisted. Worst gap was in sales, accounting, and finance. 99% of large companies now run AI on incoming resumes. Most of them use GPT-4o. The paper just proved GPT-4o picks GPT-4o 97.6% of the time. If you wrote your own cover letter this week, you did not lose to a better candidate. You lost to a worse candidate who paid OpenAI 20 dollars. Your qualifications do not matter if the AI prefers its own handwriting over yours.
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Filip Procházka retweeted
Apr 20
Designers have been granted prototyping super powers with AI, but the models are still not good enough to consistently one-shot implementations you'd want to merge to master on large, critical applications like Basecamp without programmer review (or even reimplementation!).
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I've basically immediately gotten used to having access to pwd file tree in the terminal, and being able to *comfortably* preview files (with markdown rendering) without having to jump to another app. Truly a modern terminal! Good job @warpdotdev!
TIL: - the basic @warpdotdev terminal is free (I thought it was paid) - Warp is awesome (built-in file editor, git changes review, QoL stuff for Claude Code and other harnesses) - Global hotkey docs.warp.dev/terminal/windo…, which means I can replace my main terminal with it 😍🤩
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TIL: - the basic @warpdotdev terminal is free (I thought it was paid) - Warp is awesome (built-in file editor, git changes review, QoL stuff for Claude Code and other harnesses) - Global hotkey docs.warp.dev/terminal/windo…, which means I can replace my main terminal with it 😍🤩
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Filip Procházka retweeted
Working at Anthropic must be like being on crack. Get paid a million bucks a year to --dangerously-skip-permissions vibe your way to releasing a new product every day. Does it work? not really. Is it reliable? also no. It doesn't matter, you're building the machine god.
I feel bad dunking on them so much but it's genuinely absurd how bad the new Claude Code desktop app is. You can feel the vibe code leaking everywhere. Every "feature" is barely integrated and full of edge cases that weren't considered. Every menu feels barren, stuffed in last second for some random toggle. Every hotkey breaks as soon as you try to do anything else. I've lost track of how many bugs I've encountered. I found at least 40 in under an hour. And it's all truly absurd arcane shit. Stuff like voice mode typing in all input boxes instead of just the one you have focused. Any one of these issues would have been enough for me to do a massive post-mortem and likely fire someone. A $400b company shipping this is absurd. I feel like I'm going mad. How does anyone seriously use this?? It is broken on fundamental levels that are hard to comprehend. How are we supposed to trust the code these models produce if Anthropic's official showcases are absolute slop? Dedicated video on this coming tomorrow. Just needed to get this off my chest.
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No linux... 🥲
We've been working on this for a while. Can't wait to hear what you think
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Filip Procházka retweeted
Both me and my wife uploaded the same photo of a cut on my son's head and asked GPT whether or not to take him to the hospital. GPT told me it was fine to watch it and wait and told my wife he definitely needed to see a doctor immediately - in both cases confirming our prior bias. It's possible that this was just a borderline case and we randomly got different results, or that this was caused by a slight variation in our prompts. But it does make more suspicious that some artifact of the post training is causing these models to tell users what they want to hear. As the models know more and more about us, and there's more pressure to grab marketshare, this is only going to get worse. Sadly it's way more fun to have your biases confirmed.
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I would love to @claudeai, but first you gotta...
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Filip Procházka retweeted
AI does not remove the need for engineering discipline. It punishes the lack of it faster.
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