Cybage AI-Native Defect Resolution Agentic Workflow

Cybage AI-Native Defect Resolution automates the software defect lifecycle using intelligent engineering agents. AI agents analyze Jira defects, identify root causes using code and logs, generate targeted fixes, create pull requests, and validate corrections before deployment.

Human approval gates ensure engineering quality and production safety while reducing Mean Time to Resolution (MTTR), improving software reliability, and accelerating continuous delivery. This solution includes Amazon Bedrock, Agentcore, Cloudwatch, Step Function, Fargate among other services.

Key Capabilities:

• AI-Powered Root Cause Analysis - Intelligent agents analyze defect tickets, source code, and logs to pinpoint the underlying cause of software issues.

• Automated Code Fix Generation - AI generates targeted code fixes based on root cause findings, eliminating manual debugging effort.

• Pull Request Creation - Automated pull requests are created in GitHub, streamlining the review and merge workflow.

• Re-Test Verification - Corrections are validated automatically before deployment to ensure defect resolution without regressions.

• Jira and GitHub Integration - Seamlessly connects with your existing development toolchain for end-to-end defect lifecycle management.

• Human Approval Gates - Engineering teams retain full control with approval checkpoints that ensure quality and production safety.

This solution is delivered as a Professional Services engagement through AWS Marketplace Private Offers, custom pricing, covering defect assessment, AI root cause analysis, automated defect resolution, enterprise rollout, and training and enablement.