AI for operations
DevOps Agent
An end-to-end operational agent that combines trusted knowledge, live tool access, guarded write operations, and continuous evaluation.
Problem
Operational context lived across documentation, dashboards, infrastructure tools, and experienced engineers. Getting to a useful answer often meant manually gathering evidence before troubleshooting could even begin.
Approach
Built an end-to-end DevOps Agent that grounds its reasoning in a curated knowledge base and uses MCP-based integrations to interact with operational tools. It investigates issues, reviews and approves Terraform pull requests, and performs controlled write operations only after explicit human approval.
Contribution
Designed the agent architecture, knowledge and tool integration pattern, evaluation layer, and approval controls. Every action is logged and tied to the requesting identity, creating a clear audit trail for both reviews and write operations.
Measured outcome
Reduced DevOps ticket volume by 60%. The agent now resolves routine operational requests, reviews and approves Terraform pull requests, and—where authorized—executes write operations with explicit approval, complete logging, and identity attribution.