The Pragmatic Engineer

Also: CVE program nearly axed, restored at the 11th hour, Rippling rescinds signed offer the candidate-to-join already handed in their resignation, and more

Dave Anderson, formerly Tech Director at Amazon, shares an inside look at Amazon's engineering culture—from hiring and promotions to team autonomy and extreme frugality.

We might be seeing the end of remote interviews as we know them, and a return of in-person interviews, trial weeks and longer trial periods. Could hiring be returning to pre-pandemic norms?

Also: Git turns 20, a new trend of AI cost saving pressure at developer agencies, John Carmack on how LLMs will impact the industry, and more

Stanford professor John Ousterhout explains why thoughtful software design matters more than ever as AI tools transform coding practices and developer workflows.

The Model Context Protocol - that extends IDEs’ AI capabilities - is  gaining rapid popularity. Why is this, and why should us developers pay attention to it?

Also: Trump tariffs to hit tech, Gemini Pro 2.5 might be the best coding model yet, tips on using LLMs to code, and leaked startup recruitment guidelines reveal how much pedigree matters

Tomas Reimers, ex-Meta engineer and Graphite co-founder, shares how Meta’s custom developer tools pioneered practices like stacked diffs and monorepos—shaping industry standards and the future of AI-assisted coding.

Interview processes are changing in a tech market that’s both cooling AND heating up at the same time. A deepdive with Hello Interview founders, Evan King and Stefan Mai

Cloudflare stepped up to deliver a fix for the vulnerability, following unexpected silence from the Next.js team. Also: OpenAI’s new image generation feature shows how Japan has lax copyright laws

Figma engineers Jonathan Kaufman and Noah Finer share how they built Figma Slides from a hackathon project into a polished product, covering key engineering decisions, challenges, and practices.

What does AI engineering look like in practice? Hands-on examples and learnings from software engineers turned “AI engineers” at seven companies