Workshops
Workshops where teams build shared practice for working with AI agents inside their existing engineering workflow: what agents receive as context, what runs on each change, who reviews, and how work reaches production.
Why
Teams agree on how agent-produced changes are checked, reviewed, and released.
Sessions use your repositories, pipelines, and standards instead of generic examples.
Engineers know what to do when an agent produces a change, and reviewers know what to expect.
Popular
Build scalable Terraform foundations: modules, state separation, versioning, tagging, and production-ready practices, including how agent-generated infrastructure changes get reviewed.
Align teams on platform principles, ownership, and AI guardrails, and define what the platform has to provide now that agents take part in delivery.
Design and implement Slack-based self-service workflows with guardrails, approvals, and integrations across Terraform, CI/CD, and AWS.
Workshops
Tell us which workflow you want to improve and we will shape a workshop around it.