Field notes on building with agents and humans
How to put agents to work without handing them the keys, how to write a standard every agent follows, and how teams get more done while a person approves what matters. Written for the people doing the work.
What we write about
Supervising agents
Keeping AI fast and safe at the same time.
Standards and approvals
Designing the steps and approvals that earn their place.
The runtime for agents
Triggers, sandboxes, and validation in practice.
CI/CD for agents
What changes when agents open most of the pull requests.
Observability
Reading conclusions instead of noise.
Team practice
How planning, code, and operations come together.
Field notes, newest first.
Real release notes and practitioner write-ups only. No fabricated dates, no filler.
Have a sharp take on building with agents and humans?
We publish practitioners.