Nash

This is one of the coolest things I've worked on you add agents to your slack, you tell the agents what to do and what tools to add, they keep getting smarter We're doing an early preview, sign up and if you comment SQUIG, I'll share 10k credits to your account

the price/performance ratio for composer 2.5 is insane

Nobody believes in you, so make them. Announcing our $7M seed round led by @Slow.

@MikeIsaac wait, by limitation? why allow the case to proceed at all in first place?

MUSK LOSES CLAIMS BARRED BY STATUTE OF LIMITATIONS

UNANIMOUS VERDICT IN MUSK VS OPEN AI IS IN AFTER ONLY 90 MIN OF DELIBERATION nytimes.com/live/2026/05/1…

@shashank_kr @Razorpay 14k is crazy!

We recently built an AI assistant inside @Razorpay called Slash. It reads our entire codebase, debugs production incidents, reviews specs, writes code, reviews every single PR, answer tech queries and also raises PRs for small features. It's easily accessible through Slack. We can tag it in any Slack thread, describe the problem in English, and it gets to work. Six weeks ago, Slash handled 122 tasks in its first week. Last week it handled 14000+. Queries, analysis, bug fixes, PR reviews, test runs and work that earlier lived across scattered tools and teams can now be done with Slash right within Slack. 1000+ people used it in a single week because it got their work done faster. The whole adoption has been completely organic. The numbers from last week have been very encouraging - 14,854 tasks completed. 2,150 PRs raised, 1,152 merged, 45% of those PRs shipped with zero human rework. A payout gets stuck mid-retry during a live incident, an engineer tags Slash and within seconds, it cross-references logs with code and pinpoints a state machine bug blocking the retry-to-failed state transition. Tells the team exactly which logs to check and how to resolve the incident. With its K8s analyzer skill, Slash scanned a single namespace, right-sized all 11 workers using 48-hour P95 pod metrics, and raised the PR. One run saved $560/month. A marketing banner bug was fixed with few prompt iterations with a PR raised, merged to prod and deployed in minutes. No front-end developer touched the code. Security teams ran static security testing and remediation through Slash at org scale. Thousands of findings were purged and many more got validated autonomously. But Slash isn't just an engineering tool. Account managers now trace stuck customer payments and integration failures through Slash instead of pinging engineers on Slack. L2 product support tickets get triaged by Slash before they reach engineering. 250+ non-engineers ran thousands of sessions last week. PMs used it for research on our payments infra, customer interviews and product features sometimes raising PRs of their own. Analytics teams built SQL pipelines. 11% of all sessions came from people outside tech and product. On our company bakkar (watercooler) Slack thread, someone asked Slash jokingly to assign tasks to everyone and it responded in the same tone. It seamlessly started participating in inside jokes and conversations. The quality compounds with use. Engineers who shipped 11+ Slash PRs averaged a 63% merge rate without rework. First-timers averaged 37%. Across the org, human review comments per PR have dropped more than 40% with Slash starting to do in-depth review of every single change. We're still early. Large cross-repo refactors, fully agentic sdlc and plan mode are next. But Slash has already changed how people at Razorpay build, debug, and ship every day.

@hnshah I wrote about this "first draft" problem as well: squig.com/blog/what-shou…

I wrote this because I noticed how quickly Claude Design made me want to trust it. You put in a screenshot, a stylesheet, or a few references and suddenly there’s a polished page in front of you. Then you slow down a little. Tiny labels appear above every section. Headlines pick up dramatic italics. The copy feels arranged more than written. That’s when it clicked for me that AI design already has fingerprints. Bad work usually announces itself immediately. Polished work can quietly lower your standards before your judgment catches up. That’s the trap.

@garrytan It feels like almost all harness work is drawing the jagged line between deterministic and nondeterministic execution. Its whack-a-mole today, my hope is that as LLMs get better, there's a lot less of this scaffolding needed

@hnshah *everyone

How do you tell someone that everything they are building and publishing is AI slop?

@MikeIsaac Street cred

thank you dan

On taste

@MikeIsaac thank you for your service 🫡

good morning from a rain-soaked downtown oakland, where i will again be attending the musk vs openai trial no liveblog today, just my wonderful tweets lunch is a normal banana, a mutant orange, black coffee, and some pocket sausages, for travelers

@brian_armstrong @MonetSupply @moo9000 Near impossible for a human to review the amount of code a single vine cider produces

@MonetSupply @moo9000 It goes without saying that all AI generated code has rigorous human reviews. No one is vibe coding directly to production. We're increasing speed of shipping and innovation, while continuing to raise the bar on security.

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

I've been anxious thinking about what we should tell our children to focus on in an AI world. It turns out, there are lots of opportunities coming ahead:

@AndrewMayne my slack status is always green, but that's just my claw

Greg Brockman is one of the hardest working people I've ever met. I'm a night owl and would see his Slack status stay green well into the night. The single biggest tell for someone being completely ignorant of the AI scene is to not know what kind of engineering GOAT Greg is.

something about writing short letters

@hnshah Deepseek v4?

I'm obsessed with running local LLMs. Been working with an engineer to build product(s) that are 100% local. A new model that came out recently instantly improved the quality of our product. We live in really interesting times.

hi, just send me the prompt, not the generated output, tx

Arshad Nadeem's record-breaking throw of 92.97m earned him Olympic gold and Pakistan’s first individual title. 🥇🇵🇰 #Paris2024 #Olympics @WorldAthletics @NOCPakistan

@levelsio @hyperknot I get the price decision but saying a mapping provider just does png tiles misses the fact that it does data acquisition, generates first party data and parses satellite imagery.

✨ I just replaced Mapbox on all my sites with OpenFreeMap by @hyperknot and my map bill is now $0 Mapbox's pricing is getting increasingly extortionary (which is fine, it's capitalism) but at some point you have to think, $857/month for what? A map? Really? A map is that expensive? How can loading a map be that expensive? It's just some PNG tiles you host somewhere? Why? @OpenFreeMapOrg is 100% free and all you do is point your AI to openfreemap(dot)org and tell it to replace Mapbox with that 5 minutes and you save thousands $$$ per year! Apparently @Cloudflare sponsors its bandwidth which is very cool and keeps it online!

@willchen500 Back in the day, when AWS launched, a lot of startups were called “AWS resellers/wrappers). Didn’t mean there wasn’t value, didn’t mean they didn’t grow huge (see Dropbox/box vs s3)

Harvey and Legora are essentially sales organisations that resell tokens. They have hired legions of ex big law juniors and mid levels as sales people (“GTM”) along with some ex partners to wine and dine their former colleagues. They slap on a UI that makes them look different from ChatGPT but the product differentiation and vertical specific features are far and few in between. You could just as well use both for any white collar job. Their web apps are basically 1. A chatbot interface 2. A projects function where you can upload your files 3. A tabular review function where you can bulk review documents in a table 4. Workflows which are just custom prompts you write for the chatbot or tabular review. I was able to build everything plus some additional functionality they do not have like version control in mikeoss.com in two weeks. I call this the “token reseller theory”. They are like car dealers or real estate agents but for tokens. The model providers get them to do the selling to crack open the reticent legal market. What happens to H/L now that the model providers want the market for themselves? Does not bode well for them.