- Tools for creating operational knowledge bases and standard operating procedures: Atlassian Jira Service Manager, Freshservice Knowledge Base, ServiceNow Knowledge Management, and Zendesk Guide.
- Log-file analysis tools with AI: Datadog, Dynatrace, LogicMonitor, Logz.io, New Relic, Splunk, and Sumo Logic.
- Tools for visualizing public cloud infrastructure: Cloudcraft, Hava, and Lucidscale.
- Tools to diagram the architecture, sequences, and other flows: Draw.io, Figma, Eraser, Lucidchart, Miro, and Visio.
Provide AI agents with documentation they can use
While many code-generating AI agents analyze the codebase, a growing number of them can also analyze software documentation for added context.
“When every code change is documented, AI agents can understand not just what the code does, but why it was written that way, and this historical context transforms AI from a coding assistant to a knowledgeable team member,” says Andrew Filev, CEO and founder of Zencoder. “This institutional knowledge, previously locked in developers’ heads or scattered across Slack threads, becomes searchable, actionable intelligence that improves every subsequent AI interaction.”
Devops teams should consider feeding AI code-generators documentation on APIs, user stories with acceptance criteria, coding standards, architecture principles, README files, secure coding guidelines, data privacy rules, and compliance references.
