Building SentryOps: Safe Autonomous Incident Remediation with TrueForge and Qodo

When constructing autonomous agents for managing production infrastructure, it's crucial to establish guardrails to prevent unintended consequences. During The Agent Harness Hackathon, I developed SentryOps, an incident response agent that utilizes TrueForge and Qodo for safe, autonomous remediation.

SentryOps is an autonomous agent that communicates directly with telemetry systems, following a precise remediation loop. When an incident is triggered, such as connection pool exhaustion, the agent ingests the alert. Using the Model Context Protocol, the agent queries traces and service logs to gather relevant information. Before any irreversible production operation, like a rollback, the agent undergoes a sandboxed testing phase.

During this stage, regression bisect scripts are executed within an isolated container to identify the problematic commits.

To ensure the agent's safety, TrueForge plays a pivotal role by managing multi-step diagnostic reasoning loops, maintaining session state across disconnections, and enforcing a strict pause before executing sensitive rollback procedures. This safeguards the system from potential disasters caused by autonomous actions.

On the development side, all coding was subjected to rigorous code quality checks through Pull Requests analyzed by Qodo. Qodo validated state-transition edge cases, enforced Pydantic schema validation on API payloads, and confirmed test coverage before any merge into the main codebase. This stringent evaluation process maintained the integrity of SentryOps, ensuring it functioned reliably and safely.

You can explore the source code and review the Pull Request history on the GitHub Repository.