A deepdive into how Codex has “taken over” OpenAI, how the frontier lab builds its agentic software factory, and the engineering challenges of one billion users. Details from inside OpenAI
For compute-intensive services: it’s worth reserving more compute now. Also: growth dreams end for more COVID-era unicorns, engineers losing touch with systems when AI handles incidents, and more
OpenAI’s Tibo Sottiaux shares how Codex was built and how it’s reshaping software development.
TThe web is evolving beyond menus, forms, and endless clicks toward experiences shaped around human intent. For UX designers, understanding this shift means re-evaluating their role, moving from designing visible interfaces to guiding transparent, intent-driven AI experiences.
AI generates more code than devs can track in 2026, so will the code review process have to adapt – or is it doomed? A look into this decades-old practice and the approaches that could replace it
How the Next.js team used an agent to research old reports and work through the issue backlog.
Cost-saving efforts reveal that moving simpler workloads to open AI models is the easiest way to save ~50% on AI bills. Also: automated software maintenance experience, and more
We find out why Meta destroyed its standout engineering culture: it feared AI-native startups doing more with less. Also: thoughts on Ramp’s AI infra, GitHub’s load doubles in four months, and more
A fintech company rejected the easy route and homebrewed its own coding agent – and is now a step ahead of coding agents from frontier AI labs. An in-depth look
Every website peaks on launch day and slowly drifts from there, not because it breaks, but because nobody has time to keep it current. Autonomous websites, continuously optimized by agents after launch, aim to change that. Pierre Burgy shares what they learned building for full website autonomy and the deeper design problem they uncovered along the way.
Asana completed a testing framework migration in two weeks, that they would have delayed for years more, and they’re not alone. Also: AI startups could make Gartner much less relevant, and more
Addy Osmani shares lessons from 14 years at Google and how AI agents are reshaping software engineering, developer workflows, and the skills engineers need to succeed.
Trend: more CTOs, VPEs, and Heads of Engineering are walking away from their high-status, in-demand positions. There are many reasons, mostly related to AI, and to "founder mode"
The social media giant is offering $1M+ retainer equity grants to staff who are leaving: and even this is not effective. Also: is Grok Bot the “OpenClaw moment” for managed AI agents?
New EU guidelines, why AI sparkles aren’t enough, when AI labels are required, and what the rules mean for AI-powered features and products. Brought to you by Design Patterns For AI Interfaces , **friendly video courses on UX** and design patterns by Vitaly.
In 2025, it was rational to be skeptical about AI. In 2026, it's not, anymore. With Charity Majors, CTO and co-founder of Honeycomb.
A shift from a focus on latency to building better AI models, owning the full stack from applications to building custom hardware, very different incentives to most tech companies in play, and more
The case study behind Instant Navigations in Next.js 16.3, and how we made v0's navigations instant using tests and a coding agent.
Next.js 16.3 introduces Instant Navigations, a suite of tools for single-page-app responsiveness, plus a faster dev server, faster builds, and improved tooling for AI agents.
Hillel Wayne explains why formal methods like TLA+ matter, how they help build reliable software, and whether AI will finally bring formal verification into the mainstream.
As AI reshapes product design, it could give designers greater autonomy or expose the gaps that autonomy makes harder to hide. Exploring both the bull and bear cases, Andy Budd examines what happens when designers need less permission to act.
A deepdive on what’s changed in how the leading AI lab makes software. Ever more code review and testing is done by AI, two-pizza teams very much alive, and more. Details from inside of Anthropic
Many of the AI tools we interact with take the form of text boxes. But what if there was a different way to interact with AI? Oleksii Hrzhehorzhevskyi explores a different approach to creating a new AI assistant and how designers can navigate the field as AI continues to change it.
Also: Chinese open models match closed ones from Anthropic and OpenAI, AWS’s “heart-attack” billing error, and more
Dex Horthy explains why context engineering is key to building more effective AI-assisted software without sacrificing code quality.
Many companies assume everyone craves new AI features. But the reality is that most people don't want more AI — at least not in the way most AI leaders envision it. Brought to you by Design Patterns For AI Interfaces , **friendly video courses on UX** and design patterns by Vitaly.
There’s talk about loop engineering, but what is it exactly? I looked into it, and found triggers, cron jobs, AI slop & more. Is it a “here today, gone tomorrow” trend?
A rewrite done in 11 days that would have taken a small team a year to complete, for $165K in tokens. Also: coding LLM “wars” heat up, AI fakers from North Korea still a problem when hiring, and more
In this AMA episode, Gergely Orosz answers listener questions on AI, engineering, hiring, and careers.
The market where nobody finds each other, the hottest market for AI-related positions, tough for engineering leaders, and more. Based on details from 50+ hiring managers & job seekers
A closer look at why users don’t need more tools in their daily lives. What they need are seamless integrations of useful features to match already existing, established mental models. Brought to you by Design Patterns For AI Interfaces , **friendly video course on UX** and design patterns by Vitaly.
We’ve fallen into conversational tunnel vision, defaulting every AI capability into a chat-based interface simply because LLMs are trained on dialogue data. But great UX is about matching modality to users’ context, intent, and cognitive load, so the interface adapts to the user, not the other way around.
Kent Beck reflects on Agile, TDD, and why building trust—not just generating code—will define the future of software engineering in the AI era.
A peek into where software engineering is headed from inside the sector’s leading AI labs. Agents running in the cloud are a major trend, while coding harnesses are spreading beyond the craft
Actionable errors with paste-ready fix prompts, first-party Skills for the dev loop and Cache Components, and tooling that keeps coding agents in sync with your project.
NeetCode shares his journey from Amazon and Google to building a startup, and why deep expertise still matters in the age of AI.
Learn how to build agent-ready websites using the Lighthouse Agentic browsing category and Chrome DevTools for agents.
Also: a follow-up on Meta destroying its own engineering culture, the SpaceX IPO, SpaceX buys Cursor, Cursor’s GitHub competitor, and more.
Chrome DevTools for agents introduces third-party developer tools, which lets frameworks and applications share rich, runtime context with AI coding assistants.
Robert Erez of Octopus Deploy joins me to discuss Kubernetes, GitOps, progressive delivery, AI in CI/CD, and the evolving practices behind modern software delivery.
