The first two steps of the agentic pipeline have no agent in them. Here is how the product owner writes value.md, how developers turn it into requirements.md, and why a human gate before the specification agent is the brake the process needs.
AI coding agents eat user stories faster than a product owner can write them. Here is a spec-driven, agentic pipeline that spreads the work across people and agents, keeps humans at every gate, and keeps everything in the repository as markdown.
Intro I was listening a podcast about AI and cybersecurity and the host was asking his guest about this question: Is AI going to wipe out humanity? While the guest did not answer it directly, here is my rant on this. The Quiet Ways AI Could Break the World The way AI is most likely […]
Intro I talk a lot about AI these days… and I know I am not alone. People talk a lot about “agentic AI” or “AI Agents” or simply “Agents”. During these discussions, I see there is confusion sometimes what is an Agent and what’s the difference between “AI” and “AI Agents”. Here’s the core distinction, […]
Introduction This is the very first article from a series of articles that will be merged with the existing SDLC Process “From Idea to Proof of Concept to MVP” previously written, finally to be rewritten in an AI-Native SDLC. What is an “AI-Native” organization? “AI-Native” describes an organization that has restructured how it works […]
AI Security Best Practices: What Every Employee Needs to Know A summary of an AI Security Policy — covering the risks that matter, with real examples of what goes wrong when they are ignored. AI tools are now part of everyday work — writing, coding, summarizing, automating. That is not going to change. But most […]
This is the extension of the original article AI Adoption for companies (based on OECD data) What US Companies Are Actually Spending — And Where It Maps The OECD data gives you the strategic framework. US-specific data gives you a reality check on spending. Here is what verified US sources report. Adoption in the […]
Why You Need to Read This Now Between 2020 and 2024, the share of firms using AI across OECD countries more than doubled — from 5.6% to 14%. Large firms (250+ employees) are at 40% adoption. Small firms (10–49 employees) are at 11.9%. Mid-sized firms sit in the middle at 20.4%. That gap is […]
Note: This post is written with a lot of help from AI, used to summarize the standards mentioned below. Artificial intelligence (AI) is reshaping industries, but it also brings new risks. From security vulnerabilities to compliance challenges, organizations must balance innovation with responsibility. New standards were created and newer are emerging to guide this […]
I think the entire software development world saw NVIDIA’s CEO saying that the world will stop needing software developers, because they will be replaced by AI. Well, considering that this comes from the guy who sells the core on which AI is built, is understandable. But is there any truth to this? Let’s look at […]
