RJL.pub - AI-Native Development Journey

This is a field guide to building software with AI agents in 2026 - written from production, not the sidelines. It follows the shift from prompting to context to intent engineering, then works through the tools, techniques, security, and governance that turn autonomous agents into a dependable part of how real teams ship - grounded in hard-won lessons from operationalizing AI across a regulated software lifecycle. Whether you write the code or lead the people who do, the chapters ahead give you the patterns to adopt agents fast, and the judgment to do it without lowering your quality bar.

Start with the Preface, or jump to any chapter below.

Living document - last updated October 2026. Model names, tools, and patterns are refreshed as the landscape moves.