The Pragmatic Engineer

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?

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

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.

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

Also: Chinese open models match closed ones from Anthropic and OpenAI, AWS’s “heart-attack” billing error, and more

Turbopuffer cofounder Simon Eskildsen on the benefits of longer tenure, using first principles to build durable software – and why founders should be cautious when raising VC money

Also: engineering leaders concerned about continued increase in code review load, devs at enterprises surprised by high enterprise pricing, and more

Dex Horthy explains why context engineering is key to building more effective AI-assisted software without sacrificing code quality.

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

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

NeetCode shares his journey from Amazon and Google to building a startup, and why deep expertise still matters in the age of AI.

An overview of what’s changed in engineering during the last six months, how various tech companies are changing how they work, and why slowing down could be a sensible strategy