Life can only be understood backwards but it must be lived forwards.

  • Alibaba’s OpenSandbox

    Alibaba’s OpenSandbox

    Letting AI agents run code is easy. Letting them run code safely is the real work. Alibaba’s OpenSandbox is an open-source sandbox runtime for AI agents. It gives each agent an isolated place to run code, commands, files and even a browser or desktop, on your own infrastructure: Docker on a laptop, Kubernetes in production.…

  • Atlassian AI-native SDLC on PROD

    Atlassian AI-native SDLC on PROD

    At Team ’26 Europe on 7 October, Atlassian moved its AI-native SDLC from playbook to production. What I find interesting is that it targets concrete business pain points across the whole delivery lifecycle, not just coding: – Planning: Planner turns a rough idea into a shared Confluence spec with options, risks, owners and review questions,…

  • Jarvis on EvenRealities G2

    Jarvis on EvenRealities G2

    I have been using AI for more than two years. Over time, I’ve automated much of my daily work. But something was always missing.That something was a digital assistant. Because what am I without my suit of armor?Genius, Father, Believer, Mentor, Idealist, Human. So I decided to build my own digital assistant, and only one…

  • Anthropic’s AI-native SDLC playbook

    Anthropic’s AI-native SDLC playbook

    Anthropic’s AI-native SDLC playbook makes a point I keep coming back to: code is no longer the bottleneck. Agents can write code faster than organisations can plan, review, test and ship it – security teams, for example, are sized for human output. The playbook’s answer is to turn the linear SDLC into a loop, where…

  • Cybersecurity is now the number one risk to growth for CEOs

    Cybersecurity is now the number one risk to growth for CEOs

    The KPMG 2026 Global CEO Outlook surveyed 1,400 CEOs. 31% named cyber and data security as the greatest risk to growth over the next three years. At the same time, 79% say AI remains a top investment priority, up from 71% last year. And when it comes to implementing AI, cybersecurity is the second-biggest challenge,…

  • Microsoft AI has finished pre-training MAI-Base-2

    Microsoft AI has finished pre-training MAI-Base-2

    … its own frontier foundation model: a mixture-of-experts with 2.8 trillion parameters (80 billion active), trained on 16k GB200 GPUs over 38 days. Two details stand out for me. Microsoft says the model is built on organic data with no distillation from other models, with strong provenance over its training tokens. And it plans to…

  • Meta has released Muse Spark Open

    Meta has released Muse Spark Open

    … which it calls the most capable US open-weight model to date. Open-weight means the trained model itself is downloadable: you can run it on your own infrastructure, fine-tune it and keep your data in-house, instead of only calling someone else’s API. The numbers are serious: 816B parameters (42B active), a 1M-token context window, built…

  • The Rise of ‘Quiet Tech’: Even Realities Defines New Standard for 2026

    The Rise of ‘Quiet Tech’: Even Realities Defines New Standard for 2026

    Progress is often measured by what we add: more features, more sensors, more data. But after decades in this industry, I have come to realize that true engineering maturity is often found in what we have the courage to remove. We are currently witnessing a fascinating pivot in the wearable market. Even Realities recently published…

  • The EU AI Act Officially Enters Into Force

    The EU AI Act Officially Enters Into Force

    We often mistake the speed of development for the velocity of progress. In our industry, we have long worshipped at the altar of “move fast and break things,” assuming that the wreckage left behind was simply the necessary cost of innovation. But true progress is rarely measured by how quickly we build; it is measured…

  • Global Tech Report 2026: The Shift from AI Hype to ROI Discipline

    Global Tech Report 2026: The Shift from AI Hype to ROI Discipline

    Technology has a way of humbling our favorite narratives. The louder the promise, the more the real test tends to arrive later: in operations, in trust, and in whether people can actually use what we built. KPMG’s Global Tech Report 2026 points to a notable shift: organizations are moving beyond scattered AI experiments and demanding…

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