Field guide
Building an Agentic Software Development Lifecycle
A practical, stack-specific methodology for AI-native engineering: Intent → Execution → Governance, with specialized agent roles and security gates.
Section
These are the guides I wish I'd had. And I'm giving them away free. No paywalls, no email gates, no upsells. Twelve years in IT and security taught me that the industry has too many barriers and not enough people sharing what they actually know. Everything here is my attempt to give back.
Field guide
A practical, stack-specific methodology for AI-native engineering: Intent → Execution → Governance, with specialized agent roles and security gates.
Career guide
A modular playbook for breaking into IT, building durable skills, and establishing your brand in the agentic engineering age, designed through CTO, CIO, and CISO lenses.
Strategy
A four-year, month-by-month plan from zero IT experience to 2030-ready, evaluated through CTO, CIO, CISO, and product-design lenses, with a companion tracker spreadsheet.
Field guide
A battle-tested playbook for IT, cyber, and cloud veterans who think at the CIO/CTO/CISO level and use AI agents as their senior dev team. Covers spec-driven development, context engineering, harness engineering, the 2026 AI coding landscape, supply-chain security, MCP attack surfaces, and a full agentic SDLC runbook.
Field guide
An earlier companion to The Principal Engineer, written for the generalist who orchestrates AI agents to ship secure, scalable products. Covers the shift from vibe coding to context engineering, the 2025 to 2026 AI tool landscape, platform rules, MCP security, and the mindset of running AI agents like a founding engineer runs a dev team.