AI Agent Playbook for Engineering and Security Teams

Overview

Tech companies have the most agent types to choose from—and the most sophisticated deployment patterns. Coding agents pair-program with developers. QA agents run regressions. Operations agents detect and triage incidents. Cybersecurity agents monitor threats. Data agents automate analysis. The question isn't whether to use AI agents, but how to sequence deployments and share context across engineering, security, and ops teams.

Agent types to consider

Each card links to a detailed page with tools, comparisons, and use cases for that agent type.

Frequently asked questions

Should our team start with a coding agent or a QA agent?

If your bottleneck is shipping speed, start with a coding agent. If quality and regressions are the bigger problem, start with QA. Many teams deploy both simultaneously since they complement each other directly.

How do operations and cybersecurity agents differ?

Operations agents focus on infrastructure incidents (outages, performance, alerts). Cybersecurity agents focus on threats (intrusions, vulnerabilities, compliance). They often share monitoring data but serve different teams and SLAs.