Posts
All the articles I've posted.
AI-Native Engineering: Course Index
The reading map for a build-first AI-native engineering series: nine focused posts, one capstone, and a rigorous learner-critic release bar.
AI-Native Engineering 08: Build the Software Factory
Turn a backlog into a safe, observable conveyor belt where agents make incremental progress.
AI-Native Engineering 07: Parallelize Background Agents as a Bounded DAG
Split independent work across isolated agents while controlling cost, conflict, and retries.
AI-Native Engineering 06: Secure the Agent as an Untrusted Operator
Reduce blast radius with boundaries, least privilege, approvals, and observable failure paths.
AI-Native Engineering 05: Review Agent Work with Intent and Evidence
Review behavior, tests, traces, and risk—not just a plausible-looking diff.
AI-Native Engineering 04: Make the Codebase Agent-Ready
Give a fresh agent the map, invariants, commands, and handoffs it needs to work safely.
AI-Native Engineering 03: Connect Capabilities Through MCP Portals
Govern discovery, authorization, routing, and audit for Model Context Protocol tools.
AI-Native Engineering 02: Engineer Context, Not Just Prompts
Curate the smallest high-signal context and preserve state across long agent runs.