About This Architecture

Sentinel is an autonomous incident-to-fix agent that orchestrates ticket understanding, codebase analysis, root cause detection, and patch generation across multiple specialized agents. The system ingests incidents from Jira, Slack, and GitHub Issues, processes them through a reasoning engine with documentation and error reference lookups, then generates minimal code patches with regression tests. Each agent stage outputs confidence scores and validation results, with fixes executed in a Docker sandbox environment before creating pull requests on GitHub. This architecture demonstrates how multi-agent systems can automate the entire incident lifecycle, reducing mean time to resolution and freeing DevOps teams from repetitive debugging tasks.

People also ask

How can I automate incident resolution from ticket to pull request using a multi-agent system?

Sentinel demonstrates a seven-stage agent pipeline: Ticket Understanding Agent parses incidents from Jira/Slack/GitHub, Codebase Analysis Agent scans repositories with embeddings, Root Cause Detection Agent maps stack traces, Fix Generation Agent creates minimal patches, Test Generation Agent builds regression tests, and Validation Agent runs code in a Docker sandbox before creating pull requests.