Articles
Live Reconfiguration for Persistent AI Agent Processes
How to apply configuration changes to a running AI agent without downtime, and why "durable" apply semantics matter more than the detection mechanism.
Model Selection Is an Operational Variable, Not a Code Constant
Config-driven model selection gives per-customer cost control, live tier changes without redeploy, and a verification path for actual API spend.
Read Your Own Codebase First
Prior implementations encode constraints vendor docs omit - check your codebase before any setup guide for a library you have integrated before.
Suppress Work Loudly
When a suppression mechanism fails, the failure mode should produce more work, not less - because silent suppression looks identical to a successful decision.
"Merged" Is Not "Wired"
Live output path audit - not PR titles - reveals merged safety-critical features that never reached the path real output actually travels.
Dead Code Removal Is a Security Audit, Not Just Cleanup
Deleting old adapter code forces a semantic comparison you would not otherwise do - and that is where security gaps surface, not where they get introduced.
Give an Agent Powerful Capabilities Without Giving It Credentials
Least-privilege for autonomous agents: mediate every Google Workspace grant through a separate privilege-dropped broker, never hand the agent the credential.
Building a Product's Entire UI in a Two-Day Parallel Agent Sweep
A client portal and an admin console, built in two days by agents working in parallel, each owning one surface, on a shared dual-mode abstraction.
Putting an Agent at the Top of the Funnel Instead of a Contact Form
A prospect talks to an agent and gets a real findings report. The eval harness, adversarial personas, and voice bridge behind a generative top of funnel.