AI Agents in Development Teams
A Practical Playbook for Adoption, Guardrails and Review
By Mike McGreal, Dendro Logic
What it is
A practical playbook for adopting AI coding agents in an engineering team: guardrails, project memory, review and rollout.
Who it's for
Engineering leaders, tech leads and EMs introducing AI agents into a development team.
Why it matters
Adoption is near-total but trust is low; output accuracy, the review bottleneck and weak guardrails stall the gains. This bridges the gap between using agents and trusting them.
TL;DR
Four-layer guardrails, project-specific memory and MCP tooling, core principles for reliable output (test-driven and spec-driven development, writer/reviewer separation), risk-tiered review, training, and a phased rollout. Grounded in the METR and CodeRabbit evidence.
AI-Agents-in-Development-Teams-by-Dendro-Logic.pdf