Doing is the new Strategy.
Constraints never disappear, they just shift where they show up. AI has torn down where we used to expect them, and where they're showing up may be the difference between teams succeeding or merely keeping up.
Read this post →AI tools amplify whatever you bring to the table. The eight thousand startups rebuilding their apps right now brought the wrong thing.
A campsite rule that became a software principle that works as a career strategy. Three layers: deliver, optimize, improve.
Government agencies are spending years deploying yesterday's AI tools while agentic development compresses delivery from months to days. The gap isn't linear anymore. It's exponential.
The social construct is fraying. The principle is thriving. The distinction between the two is the only thing that matters.
Organizations optimize for the risk of change while silently accruing the far greater risk of irrelevance. The practitioners solved this decades ago. The structure just won't listen.
WebAssembly delivers on its promise, but the promise is more specific than the marketing suggests. The advantage isn't raw speed — it's predictable performance in the face of computational unpredictability.
The centralized CI/CD pipeline was the right bridge for its era. Containers, powerful workstations, and agentic tooling put us on the other side.
The companies pulling back aren't proving AI doesn't work. They're proving that vanity metrics and unlimited budgets are a bad combination regardless of the technology.
A person without a position is a person without a signal. And no signal means no relevance.
The playbook for building great AI systems is the same one we've ignored for human teams since 2009.
Anthropic announced recently that their new Mythos model is too dangerous to release to the public. It can find vulnerabilities and exploit them at a rate never before seen. And while many of us are taking this news with a grain of salt since all the AI companies are in a hype race as much as they’r
AI continues to consume all the oxygen in the room. We’ve gone from surprise to memes to denial with bouts of anger and sadness. And maybe just a touch of nihilism as we watch the multi-trillion dollar companies in this space maneuver, collapse entire consumer ecosystems, and appear to be rushing fa
It's AI Month at Work: The Conversation April is “AI Month” at work, and we’ve seen great engagement with our Learn and Build tracks. The conversations have been inclusive, featuring both strong advocacy for AI and thoughtful critiques on its potential impact on the enterprise.
Claude Code leaked recently due to a misconfigured software pipeline—the digital equivalent of leaving the back door to the vault wide open. The internet reaction was swift; while it wasn't quite a "Gangnam Style" server-breaking event, people rushed to grab the source code before the gap was plugge
We love talking about AI in extremes; we focus on total disruption, mass unemployment, or the rise of robot overlords. We spend endless cycles on financing and existential risks, often overlooking the practical reality of how this technology actually shows up at work today.
Back in the 1950s, a paper was published suggesting that there was an upper limit to the amount of oil that could be produced globally, which was expected to be reached in the early 2000s. After that point, it would all be used up, and oil as a resource would slowly and surely be exhausted, and with
If you don't know what Markdown is, you might be in the same position as someone 40 years ago who was still struggling to figure out what this WordPerfect thing was and how it was better than the IBM Selectric.
It’s been a hot minute since my last post about skills. The meme isn't a lie: skills pay the bills. But in today’s world, it isn’t enough to just say you have the skills to do the job. You have to show it. This is where your portfolio steps in.
AI is fundamentally changing software development, but not in the way many people think. While tools can now accelerate code production, the core of great software has never been more human-centric. It still requires a deep understanding of engineering principles to build solutions that are test-dri
When the Department of Defense (DoD) first rolled out the Cybersecurity Maturity Model Certification (CMMC), it was meant to be an evolution; a push for better cyber hygiene across the defense industrial base. Let's be real, any time the government dictates how the private sector should operate, it'