Articles
352 articles, 2005 to 2026 — from early Java and web services tutorials to today's writing on agentic AI and green software, including every Technology Bytes issue.
I moved two decades of writing off WordPress and into plain markdown on GitHub, rendered as a static site. The design goal was simple: agents will read this content as often as humans do. Here is how I designed it — and what the migration taught me about technical debt.
The next test of intelligence is knowing when not to use more of it. My LinkedIn feed is full of the same three words: “AGI has arrived.” Whether we have actually crossed that threshold will be debated for years. We do not need to settle it today. Because if…
Most organizations today have an AI strategy. They have copilots, AI councils, experimentation programs, model evaluations, agents and growing portfolios of AI use cases. Leadership teams are approving investments and asking every function to explore how AI…
- Technology BytesThe AI Delivery Gap: Why Better Models Do Not Automatically Create Better AI Systems
Building a powerful AI model is one thing. Deploying that intelligence reliably inside enterprise business functions is something entirely different. The AI industry has made extraordinary progress in model capability. Models can reason across longer…
What if the most valuable output of AI is not an answer, but executable intelligence? Enterprises are rapidly putting AI into workflows, applications, agents, service desks, operations, customer journeys and decision processes. The assumption is usually…
AI does not remove scarcity. It relocates it, from the people who produce work to the people who must absorb it. For decades, knowledge work was rationed by the cost of producing it. A market analysis took days. A prototype took weeks. A presentation required…
What happens when organizations outsource not just work, but understanding AI can make an organization more capable while making it less knowledgeable. That sounds contradictory, but it is becoming possible. An analyst can produce a financial model without…
Producing intelligence and owning intelligence are not the same thing. The AI industry has spent three years teaching people how to produce it. It has spent almost no time teaching them how to own it. That gap is about to become the most important skill…
Why AI Will Move from Tokens to Skills to Business Value --- The Token Economy Has a Natural Expiration Date Every major computing platform eventually reaches the same inflection point. The underlying technology becomes abundant, inexpensive, and increasingly…
Zero Trust taught enterprises not to trust identities. Agentic AI demands something harder. Not simply verifying identities, but continuously validating autonomous decisions. This is the next architectural shift in enterprise security. The identity may…
Every major technological revolution has created a new management discipline. The Industrial Revolution gave rise to Operations Management, enabling factories to scale production through standardized processes and quality control. The Information Age…
In the last edition of Technology Bytes, I wrote about something our industry has been overlooking — one of the most important AI skills of all. Efficiency. Not efficiency as an afterthought. Efficiency as a skill that every AI agent should learn from the…
Artificial intelligence has become remarkably capable. Today's AI agents can search the web, write software, analyze documents, reason through complex problems, interact with enterprise systems, and even collaborate with other agents to accomplish…
Artificial intelligence has never been more capable. Every few months, a new generation of foundation models arrives with better reasoning, larger context windows, improved tool use, lower latency, and reduced costs. From a technology perspective, the pace of…
AI doesn't need another breakthrough model. It needs a return to engineering fundamentals. Somewhere between foundation models and agentic AI, we confused capability with architecture. Because a model can reason doesn't mean every task requires reasoning.…
Over the past few years, frontier AI has advanced at a pace few predicted. Bigger models. Stronger reasoning. Capabilities that genuinely felt out of reach two years ago are now routinely available through an API call. That progress matters. Frontier models…
Innovation was not always expensive. For decades, some of humanity's greatest breakthroughs emerged from constraint, not abundance. Engineers built extraordinary systems under severe limits. Scientists solved difficult problems with imperfect tools. Builders…
Every token your AI generates has a price tag. Three, actually. There is the bill — whether that arrives from Anthropic, OpenAI, Google, your hyperscaler, or your own inference infrastructure. There is the energy drawn from the grid to produce it. And there…
We’ve spent the last decade asking: Where should our data live? But in the age of Agentic AI, a more important question is emerging: Where is our intelligence allowed to act? Because when systems begin to make decisions autonomously, sovereignty is no longer…
Enterprise AI capability is advancing at extraordinary speed. New model releases expand reasoning depth, increase context windows, refine tool invocation, and embed coding agents directly into development environments. Systems now detect vulnerabilities,…