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Have you heard about Outcome Engineering  yet? Last month Cory Ondrejka  published the Outcome Engineering  post and the accompanying o16g manifesto , which made waves in the internet. Even if you haven't read it, you've almost certainly seen remixes like " Software development was never about writing code " that have since flooded LinkedIn. At first, the line can sound like pure provocation. But the manifesto is really pointing at something hard to ignore: In an agentic worl

Mentoring often has this aura of magic around it. You connect with a more experienced colleague and bam! — in one hour you walk away with all the answers to improve your professional life. In reality, that’s a misconception. And it often ends in stories like this one someone shared on Reddit: “𝐼 ℎ𝑎𝑣𝑒 ℎ𝑎𝑑 𝑚𝑒𝑛𝑡𝑜𝑟𝑠 𝑤ℎ𝑒𝑟𝑒 𝐼 𝑠𝑒𝑡 𝑢𝑝 𝑤𝑒𝑒𝑘𝑙𝑦 𝑚𝑒𝑒𝑡𝑖𝑛𝑔𝑠. 𝑇ℎ𝑒 𝑐𝑜𝑛𝑣𝑒𝑟𝑠𝑎𝑡𝑖𝑜𝑛𝑠 𝑤𝑒𝑟𝑒 𝑎𝑙𝑤𝑎𝑦𝑠 𝑎𝑤𝑘𝑤𝑎𝑟𝑑 𝑎𝑛𝑑 𝑢𝑛ℎ𝑒𝑙𝑝𝑓𝑢𝑙. �

How do you stay up to date in the fast-changing tech world? Here’s something not everyone tells you: major tech vendors publish a huge amount of high-quality learning material for free. That means you can keep up with the latest innovations from the comfort of your home — without spending a single euro from your company’s learning budget. Take Microsoft Ignite , for example, Microsoft’s largest conference, where they showcase their newest updates, products, and future directi

Often I’m asked whose voices in AI are worth following. Every now and then I discover someone new sharing thoughtful perspectives on social media. Unfortunately, staying consistently active over a long period isn’t easy — many great voices appear briefly and then fade. However, a few people have managed to share valuable insights consistently for years. Here are some of the people I’ve followed for a long time and keep learning from: Andrew Ng Creator of Coursera & DeepLearni

One of my mentees was recently hired as an AI Architect . The journey took 5 months of very intense preparation  followed by 4 months of nonstop job search and interviews . What we learned along the way: there is almost no agreement in the market on what an “AI Architect” actually is. There is no standard interview process, no common skill matrix, and no shared definition of what “good” looks like. Yet, a clear pattern emerged. Two worlds, two expectations Start-ups  tend to