Welcome — if you’re new to rMax.ai and the idea of agent-first engineering, start here. This short guide explains the core idea, why it matters, and three concrete steps you can take to adopt it in your team.
Agent-first engineering treats AI agents as first-class members of the development process. Instead of manual typing and handoffs, agents execute well-defined tasks within governed environments. Humans provide intent, constraints, and verification; agents perform repeatable work.
1) Define small, well-scoped agent tasks: pick a repetitive developer workflow (e.g., testing, scaffolding, dependency updates) and write a short “execution contract” that specifies inputs, outputs, and safety checks.
2) Instrument and verify: add telemetry and acceptance tests so agent outputs are treated as first-class artifacts that must pass automated checks before merging or deploying.
3) Limit authority, iterate autonomy: start agents with read-only or simulated permissions and gradually increase privileges as they demonstrate reliability. Use human-on-the-loop checks initially.
If you want, I can create a short excerpt from this file on the home page and add a link. Want me to add a short “Start here” excerpt to index.md?