Category: AI-DLC
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The Governance Paradox: Why the Most Regulated Industries Will Adopt AI-DLC First
Earlier this year, during an AI-DLC adoption assessment at a large financial institution in Latin America, something unexpected happened. The compliance team became the loudest champion of the methodology. Not the engineering leads, who were excited about the productivity gains. Not the CTO, who saw the strategic positioning. The compliance team, the people everyone assumed…
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Who Owns AI Governance When Everyone Thinks Someone Else Does?
A few months ago, during a governance assessment at a mid-size financial services company, I asked a simple question: “Who owns AI governance here?” The CISO said the CTO owned it because AI is a technology decision. The CTO said the data team owned it because AI is fundamentally a data problem. The head of…
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Mob Construction: What Changes When AI Generates Code from a Real Specification
Two weeks after the Mob Elaboration session I described in my previous post, the same financial services team sat down for their first Mob Construction session. They had a validated specification: twelve user stories with acceptance criteria, a domain model with verification tiers, non-functional requirements with measurable thresholds, and a risk register that included the regulatory…
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Mob Elaboration: What Happens When AI Runs the Requirements Room
The first time I facilitated a Mob Elaboration session, the Product Owner read the Intent aloud: a new customer onboarding flow for a financial services platform. Within four minutes, the AI had generated twelve user stories, acceptance criteria for each, a proposed domain model, and a decomposition into three independent units of work. A senior…
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The Community Is Building AI-DLC Without Knowing It
A few weeks ago, a developer on Reddit posted about a workflow they had built for Claude Code (r/ClaudeAI, March 2026). They had split their AI-assisted development into three distinct agents: an Architect that defined the system design and constraints, a Builder that generated the code, and a Reviewer that evaluated the output against the…
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The Measurement Problem: When Your Metrics Reward the Wrong Behavior
Last year, I sat in a quarterly business review where an engineering director presented what he called “the best quarter in the team’s history.” Velocity was up 42%. Pull requests per developer had nearly doubled. Sprint burndowns were textbook smooth. The slides were polished, the trend lines all pointed up, and the room was nodding…
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I Wrote a Book: Reimagine, Don’t Retrofit
I’ve been building software since I was fourteen, when I sold my first software product. Nearly three decades later, having risen through consulting and architecture roles, co-founded companies, and eventually become a CTO responsible for the delivery strategy of hundreds of cloud projects across Latin America, one pattern has stayed constant. Every major platform shift…
