Tag: Anthropic
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Agentic AI SDLC: From Prompted to Autonomous, Step-by-Step Guide
If you run software programs for a living, you already know the shape of what is coming: a maturity ladder, gates between rungs, a sign-off before the next rung is funded. That instinct is right. What changes with agentic AI is what the gates are made of. A traditional gate was a meeting, a sign-off,…
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What Is an AI-Native SDLC? Intent Becomes the Unit of Work
An AI-native SDLC is a software development lifecycle in which the unit of work is committed intent rather than an assigned instruction, and each stage ends by writing a version-controlled artifact that the next stage reads. Anthropic published the clearest description of one on August 21, 2026 in The AI-Native SDLC playbook, and has since…
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Anthropic’s AI-Native SDLC Playbook, Mapped to My Agentic AI Playbook
The AI-native SDLC is a rebuilt software development lifecycle in which AI is embedded at every stage — plan, design, build, test, deploy, maintain — and each stage ends by committing a version-controlled artifact that the next stage reads. That chain of artifacts, from intent.md through the spec, the plan, the diff and the incident…
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11 Claude Agentic AI Case Studies Analyzed and Mapped
After going through AWS’s case study library, I went back to Claude’s own customer stories page and did the same exercise. If you are interested in reading Claude agentic AI case studies, this resource is especially useful. It is a different kind of library. AWS shows you everything from security automation to lunar hardware. Claude’s page…
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Agentic AI: How to Re-Invent the IT Services Industry
In my last post I argued that agentic AI gives IT services firms two or three years to reinvent their commercial model. The response I got, mostly in private messages, was interesting. Almost nobody pushed back on the thesis. What people wanted to talk about was something messier: “Fine, I buy it. But what do…
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The Question Every IT Services Firm Is About to Be Asked
A few months ago I was in a working session with a client’s procurement team, and one of them asked a question I haven’t been able to shake since. We were reviewing a managed services renewal, and she said, almost casually: “If your delivery teams are using AI now, why is the price the same…
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Agentic AI: 50 Authoritative Definitions — The Complete Citation Compendium (2026)
What exactly is Agentic AI? Ask ten experts and you’ll get ten answers — and that’s not a bug, it’s the most important insight in this space right now. Multiple credible sources, from MIT Sloan Management Review to Gartner, explicitly acknowledge there is no single universally agreed-upon definition. This compendium aggregates 50 authoritative definitions drawn…
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Agentic AI: Why cloud platform choice matters more than you think
Which cloud platform to choose for Agentic AI? This isn’t purely an AI question. It’s an infrastructure question — and both Amazon and Google have built managed services specifically designed to operationalize this loop. That matters a great deal for risk, compliance and governance teams who are trying to figure out how to let AI…
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CIO guide to Agentic AI
Most Enterprise AI Is Built on the Wrong LayerThe shift from stateless LLMs to agentic AI architecture — and what CIOs should do about it now. Three major technology shifts have reshaped enterprise IT over the past two decades. The current one — the move from stateless LLM calls to agentic AI architectures — is…