AI is rendering the Leetcode-style interview pointless and now Anthropic has deleted it from its interview loop. Also: details of incident.io’s AI spend, Microsoft’s exit offer to engineers, and more
Titus Winters shares lessons from engineering at Google’s scale and explores how AI is reshaping developer productivity and computer science education.
Optimize your Next.js app's bundles with the next-bundle-optimizer agent skill, or explore them yourself with new Bundle Analyzer tools.
“AI SRE” is fast becoming a trending term fueled by flashy demos from vendors, but has an AI SRE ever really been on-call while engineers slept? Deepdive
A month’s worth of security breaches in a single day – will things get worse before they improve? Also: Anthropic accused of version control “rip off”, and more
Will Larson, CTO of Imprint, explores how AI and shifting industry expectations are changing engineering management, career ladders, and the path from engineer to CTO.
AI spending has greatly increased at most companies this year, but has it actually changed shipping velocity and PR output? We analyse data from 27 companies – with some interesting findings
How we used Partial Prefetching and a coding agent to improve navigation across v0 with Next.js 16.4.
What can digital transformation teach us about AI adoption? Paul Boag revisits his book Digital Adaptation to show how lessons from the past can help organizations navigate the challenges of AI today.
Also: insider details on how and why Anthropic moved off Git, a new trend of AI-assisted coding rounds inside of Big Tech, and more
Uber Distinguished Engineer Uday Kiran Medisetty shares how Uber builds internal developer tools, integrates AI agents into engineering workflows, and measures their impact on productivity.
How to handle uncertainty with AI vendors and disaster recovery (DR) approaches to consider. An excerpt from the book Building Resilient Distributed Systems by Sam Newman
Sam Newman joins me to discuss when to use microservices, how to build resilient distributed systems, and how AI is changing software development.
Also: OpenAI’s platform play that has similarities to AWS, more data on companies moving to open models, and more
Cockroach Labs co-founder Peter Mattis discusses building reliable distributed systems and how AI helps him write more code without sacrificing quality.
It’s only been a year since the e-commerce platform declared it was very happy with React Native, but now Shopify is dumping it – and the reason, unsurprisingly, is AI
37signals – the creator of Ruby on Rails (RoR) – moves over to agents generating nearly all its code. Also: Amazon and Meta struggle to hire engineers, code reviews will probably also go away and more
Maggie Appleton on what engineers can learn from designers, working with AI agents, and why human judgment still matters.
Deepdive into the Windows team’s efforts to make the OS “AI agent-friendly” and win back developers by going all-in on Linux on Windows, local models, GPUs, & more
Matt Pocock explains how he uses AI coding skills and agents to plan and build software, and why engineering fundamentals matter more than ever.
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.
