Excited to share two new speakers at The Pragmatic Summit: Tuomas Artman (@artman) - cofounder and CTO at @linear Rajeev Rajan - CTO at Atlassian 11 Feb, SF. The first-ever in-person @Pragmatic_Eng event, powered by @statsig. Sign up here: pragmaticsummit.com/

I am so excited to announce The Pragmatic Summit, in partnership with @statsig! 11 Feb, SF. One day. ~400 people. Answering the question: How is AI reshaping software engineering, dev workflows, and the modern engineering stack? Details & apply here: pragmaticsummit.com/

Working on something special for engineers + eng leaders. San Francisco, 11 Feb 2026. More soon Save the date!

What happens with time savings thanks to AI tools? This is where things get really weird... Laura Tacho (@rhein_wein) is the CTO at DX, and lives and breathes developer productivity, and rejects the hype that is all too common these days. We talk about how to separate signal from noise, and what data today tells us about AI tools and developer efficiency. Watch or listen: • YouTube: youtube.com/watch?v=xHHlhoRC… • Spotify: open.spotify.com/episode/4hD… • Apple: podcasts.apple.com/us/podcas… Brought to you by: • @statsig — ⁠ The unified platform for flags, analytics, experiments, and more statsig.com/pragmatic • @withgraphite  — The AI developer productivity platform. gt.dev/pragmatic

What does it take to land a job as an AI Engineer—and thrive in the role? @janvikalra_ works at OpenAI in this role: and she transitioned from software engineer to AI Engineer at her previous company, Coda. Before joining OpenAI, she interviewed with 46 different AI startups (!!) and so has an unusually broad and deep overview of how interviews work, how companies compare, and practical mental models to think about your career. Brought to you by: • @statsig  ⁠ — ⁠ The unified platform for flags, analytics, experiments, and more. statsig.com/pragmatic • @wearesinch  — Connect with customers at every step of their journey. sinch.com/lander/pragmatic/ • @GetCortexApp  — Your Portal to Engineering Excellence. cortex.io/pragmatic Watch or listen to the full episode: • YouTube: youtu.be/3E_jDJST69s • Spotify: open.spotify.com/episode/6ar… • Apple: podcasts.apple.com/us/podcas… Two of my takeaways from talking with Janvi: 𝟭. 𝗧𝗲𝗮𝗰𝗵𝗶𝗻𝗴 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳 𝘁𝗵𝗲 𝗯𝗮𝘀𝗶𝗰𝘀 𝗶𝘀 𝘀𝘁𝗶𝗹𝗹 𝗮 𝗴𝗿𝗲𝗮𝘁 𝘄𝗮𝘆 𝘁𝗼 𝗴𝗲𝘁 𝗶𝗻𝘁𝗼 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴. Janvi wanted to move onto Canva’s first AI Engineering team, but she was politely rejected at first. Instead of giving up: she started to teach herself how to build apps using LLMs. She went to hackathons, educated herself online, and built apps on the side. A few months later, she was already one of the experts at work on how to work with LLMs. So the next time Canva’s AI team was expanding, the team was thrilled to have her on! My two cents: it’s much easier to transfer internally, so if you are hoping to get into AI, see if you can do something similar to what Janvi did. 𝟮. 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗮𝗿𝗲 𝗮𝗹𝗹 𝗼𝘃𝗲𝗿 𝘁𝗵𝗲 𝗽𝗹𝗮𝗰𝗲. Janvi got a broad look at the AI Engineering job market, thanks to interviewing with 46 different companies (!) There doesn’t seem to be an “AI Engineer interview” format. Instead, interviews are a mix of: • Leetcode-style algorithmic interviews • System design interviews • Project-based takehomes where you need to build an app • Domain deepdives into LLM specifics This means that the best way to prepare for these interviews is to prepare for software engineering interviews: build products using LLMs on the side, and familiarize yourself with common AI Engineering concepts (some covered here: newsletter.pragmaticengineer…) More takeaways and Janvi's thinking in Big Tech vs startup upsides: newsletter.pragmaticengineer…