DevTrack Pro
Developer Velocity Analytics, Pull Request Telemetry & Automated DORA Metrics
The Enterprise Problem & Core Constraints
Engineering leaders at scaling tech organizations lack real-time data on development bottlenecks, pull request review latency, and deployment risks. Fragmented Jira boards and GitHub repos make computing industry-standard DORA metrics an inaccurate manual chore.
AxonFlow AI engineered DevTrack Pro: an automated engineering intelligence dashboard that consumes GitHub and GitLab webhooks in real time. It calculates DORA metrics (Deployment Frequency, Lead Time, MTTR, Change Failure Rate) and flags stalled PRs before sprint goals are compromised.
Quantified Business ROI
Reduced average pull request review turnaround time by 35% across 22 engineering teams, while providing VP of Engineering leadership with instant, automated board-ready DORA performance reports.
Multi-Tier Production Architecture
Webhook Event Streamer
Zero-loss webhook listener verifying HMAC SHA-256 signatures and routing pull request and workflow run events into an asynchronous queue.
DORA Metric Engine
Automated statistical pipeline analyzing merge windows, deployment tags, and incident rollback markers to compute real-time team velocity.
PR Bottleneck Forecaster
Predictive algorithm identifying complex multi-file diffs and assigning appropriate senior reviewers based on historical codebase ownership.
Executive KPI Dashboards
Responsive high-density charts showing sprint throughput, review turnaround, and developer toil metrics without vanity micromanagement.
Enterprise Technical Specifications
Live Production Application Preview
Need a Custom System Built with This Architecture?
AxonFlow AI takes enterprise software from initial architectural scoping to live production deployment with guaranteed uptime SLAs and complete code ownership.