An actionable framework for Leaders and Practitioners to transform the Software Delivery practice in the Agentic era.
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I believe we are in the early chapters of a fundamental shift in how software gets built. Not just faster code generation — a rethinking of how engineering organizations operate when every developer works alongside AI agents.
I have spent 14+ years on this trajectory: distributed systems at CERN, developer tools at GitHub, founding an AI startup as CTO (WeGaw, backed by the European Space Agency), and now enterprise AI-native adoption at Microsoft as a Global Black Belt.
I created APM — an open-source Agent Package Manager that 700+ developers use to distribute SDLC standards to coding agents. I designed the PROSE specification framework for writing AI agent instructions that actually work. And I wrote The Agentic SDLC Handbook: 225 pages covering everything I have learned about making AI-native development succeed at scale.
Why AI-native development is not just "using Copilot/Claude/Cursor" — and what engineering organizations actually need to change.
The governance gap: how productivity gains evaporate when AI-generated code hits review, compliance, and architecture standards.
Agent onboarding patterns that treat coding agents like new hires — with context, standards, and guardrails built in.
The PROSE specification framework for writing AI agent instructions that are precise, composable, and version-controlled.
A 2-command implementation pattern (apm install, apm compile) used by teams at Fortune 500 companies.
The full methodology: from individual developer setup to enterprise-scale agent governance.
© 2026 Daniel Meppiel. All rights reserved.