Daily Brief

More than 70% of pull requests at Uber now come from local or cloud agents, and lines of code per engineer has doubled year over year. Uday Kiran Medisetty walks through the six pieces of infrastructure underneath that, and the constraint shaping all of them shows up in the first one: every model call in the company goes through a single gateway doing Spire identity, redaction of 20 plus PII types, and five specialized safety models, with that entire guardrail budget held under 100 milliseconds. It carries 100 million requests a day across 800 projects, each one attributable to a caller, team,

a16z's Joel De La Garza is joined by Aaron Zollman, Deputy CISO at Microsoft Gaming, to discuss how security teams can embrace AI agents without losing control. Aaron shares Microsoft's experience with OpenClaw, from the initial instinct to ban it to figuring out how to make it safe to use. They unpack what agents mean for identity, permissions, containerization, and monitoring, as well as how AI is shifting the CISO's role from saying "no" to safely enabling new technology. They also explore whether AI could help defenders patch vulnerabilities as quickly as they're discovered, and why new

Most people can spot a vibe coded app in two seconds and cannot say why. Hassan El Mghari names it: the purple gradient background, italics in the header, a scroll to explore prompt nobody asked for, all caps pills with wide letter spacing, too many emoji. He reckons you could list thirty such tells, and naming them is what lets you tell an agent to avoid them. That is most of what Hallmark does, the design skill he shipped six weeks ago to more than 10,000 users. It codifies the patterns as gates and hands the model a library of themes, on the through line that strong inspiration produces muc

An agent built to enrich Linear tickets read a report that time to first character in Unblocked's own QA pipeline had gone from hundreds of milliseconds to three or four seconds, and recommended turning async dispatch back on. The recommendation was wrong. A support engineer had explicitly disabled that setting days earlier because it caused an outage. The agent had the ticket and the repository and reasoned soundly from both, but never saw the Slack thread where the engineers worked through the failure, or the postmortem that came out of it. Jeff Ng's point: standing an agent up has become th

Full episode: https://www.youtube.com/watch?v=-RXD4bTuFTo Me on twitter: https://x.com/dwarkesh_sp

In 2009 people told Patrick Debois that continuous delivery was crazy. He hears the same thing now about the dark factory, and reads it the same way: not that the technology cannot work, but that the organization is not set up for it yet. His starting assumption is that harnesses and loops will commoditize, possibly into a service a frontier lab just sells you, so none of that will be anyone's differentiator. What actually changes is the team, the platform and the organization around them. Developers pushed back on the conductor framing, telling him they did not sign up to write better prompt

In the first week the daily brief posted to Slack twice, a voice note vanished entirely, and the market brief turned to garbage after prompt edits Rémi Louf had not versioned and could no longer recall. Each failure became a piece of what turned into a runtime. The lost note became an append only log where nothing is discarded and every event is causally linked to the one that triggered it. The duplicates became a real queue that counts attempts. The untraceable prompt became a content addressed store, and that one was the rabbit hole. Every part of a prompt is hashed and stored separately, t

A clinical note from a real consultation reads like a routine tension headache, and nothing in it is wrong. What never reached the page is that the patient also mentioned her jaw aches when she chews, which alongside a new headache over 50 is a red flag for a condition that can take her sight within days. Sebastian Fox pulled that error, and every other failure here, out of three leading production ambient scribes in one afternoon. In the largest real world study of these notes, roughly one in 20 carried an error serious enough to cause significant harm, nearly one in five had an important omi

Warp open sourced about three months ago and went from roughly 20,000 GitHub stars to over 60,000, with thousands of pull requests and hundreds of contributors arriving at once. Rather than let agents fire off code, Safia Abdalla's team put them inside the repository's process. File an issue and an agent triages it, researches the codebase, and asks you questions when the request is too abstract to act on. Every pull request then goes through an agent managed review, and nobody on the team gets pinged until an agent has approved it. The humans only ever see the high signal ones. That is one p

In this fireside from Startup School Paris, Supabase CEO Paul Copplestone reflects on creating one of the fastest growing dev tools in the AI era. Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs Chapters: 00:00 — Paul's Origin Story 01:56 — Building Software He Needed 15 Years Ago 03:11 — Why Bet on 30-Year-Old Postgres? 04:17 — The Open Source Decision 07:17 — Do Cloud Giants Threaten You? 08:33 — The "Open Source Firebase" Pivot 09:59 — Missing Features, Big Ambitions 10:26 — Winning Developers Over Firebase 12:18 — Launch Waves

From creating Smallville, the landmark Generative Agents experiment that showed AI characters could remember, plan, socialize, and develop emergent behaviors, to now building foundation models of human behavior, Joon Sung Park is trying to answer a much bigger question: what if we could simulate the world before making decisions in it? In this episode, the Simile co-founder and CEO joins us to unpack the path from generative agents to digital twins, why today’s frontier models still fail to capture how humans actually behave, and what it would take to eventually simulate all 8 billion people o