AI Agents Reduced Code Repair Time by More Than 60%
Executive Summary
Timestamp developed AI agents for autonomous code remediation that, upon receiving the root cause of an incident, analyze the repository, identify the failure point, generate the corrective patch, and automatically create a Pull Request. The result: a reduction of more than 60% in MTTR (Mean Time To Repair).
The Challenge
SRE and engineering teams face constant pressure to resolve incidents quickly. The traditional process—receiving the alert, diagnosing the issue, locating the problematic code, developing a fix, testing, and deploying—is time-consuming and prone to errors under pressure. Every minute of downtime represents significant costs and impacts the user experience. In addition, dependence on human availability creates bottlenecks, especially outside working hours.
Portfolio
Timestamp Solution
ServiceNow and GitHub Integration
The agentic solution integrates with ServiceNow and GitHub, connecting incident records directly to the relevant code repository.
Automated Code Analysis
Once the root cause has been identified, the AI agent analyzes the codebase, locates the failure point, and determines the corrective action required.
Patch and Pull Request Generation
O sistema gera o patch corretivo e cria automaticamente um Pull Request com descrição detalhada para revisão pelo team lead.
CI/CD-Assisted Remediation
In low-risk environments, the fix can be applied directly through the CI/CD pipeline, with automated test validation, closing the incident-to-remediation cycle in a near-autonomous manner.
About the Project
Business Impact
>60%
MTTR (Mean Time To Repair) Reduction
Automatic Pull Request
Pull Requests gerados automaticamente com descrição detalhada
Closed-Loop Remediation
End-to-End Incident → Diagnosis → Remediation → Deployment Workflow
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