Glass Factory v2.5: AI-Powered Sprint Intelligence
Glass Factory v2.5: AI-Powered Sprint Intelligence
Release Overview
We are excited to announce Glass Factory v2.5, our most significant platform update of the year. This release introduces AI-powered sprint intelligence capabilities that help engineering teams plan more accurately, identify risks earlier, and deliver more predictably.
Key Features
AI-Powered Velocity Prediction
Glass Factory now uses machine learning models trained on your team historical data to predict sprint velocity with unprecedented accuracy.
How It Works:
Input Signals:
├── Historical velocity (weighted recency)
├── Team composition changes
├── Holiday and PTO calendar
├── Story point distribution patterns
├── Technical debt ratio
└── External dependency status
Output:
├── Predicted velocity range (P25, P50, P75)
├── Confidence interval
├── Risk factors identified
└── Recommendations for scope adjustment
Accuracy Improvements:
| Metric | Before (v2.4) | After (v2.5) |
|---|---|---|
| Velocity prediction accuracy | ±18% | ±8% |
| Sprint completion rate | 72% | 89% |
| Scope change frequency | 2.3/sprint | 0.8/sprint |
Automated Capacity Planning
The new Capacity Planner automatically calculates team availability based on:
- Connected calendar integrations (Google Calendar, Outlook)
- PTO requests submitted through Glass Factory or HRIS integrations
- Historical meeting load patterns
- On-call rotation schedules
Intelligent Dependency Detection
Glass Factory v2.5 automatically identifies cross-team dependencies by analyzing:
- Code references: Detecting imports/calls to other team codebases
- API contracts: Identifying shared service dependencies
- Historical patterns: Learning from past dependency-related delays
- Explicit links: User-defined dependency relationships
Migration Guide
Breaking Changes
v2.5 includes the following breaking changes:
- API Version: The
/api/v1/sprintsendpoint is deprecated. Use/api/v2/sprints - Webhook Payloads: Sprint event webhooks now include
aiInsightsfield - Permission Model: New
sprint.ai.viewandsprint.ai.configurepermissions
Upgrade Steps
# 1. Update Glass Factory CLI
npm install -g @uranuslab/glass-factory-cli@2.5
# 2. Run migration script
gf migrate --from 2.4 --to 2.5
# 3. Update API integrations
gf api:check --compatibility v2
# 4. Configure AI features
gf ai:setup --training-window 90d
Configuration Options
New configuration options in glass-factory.config.js:
module.exports = {
ai: {
enabled: true,
velocityPrediction: {
confidenceThreshold: 0.75,
trainingWindow: "90d",
excludeOutliers: true
},
dependencyDetection: {
codeAnalysis: true,
apiContractScanning: true,
sensitivityLevel: "medium"
},
capacityPlanning: {
calendarIntegration: "google",
bufferPercentage: 15
}
}
};
Availability
Glass Factory v2.5 is available now for all Enterprise customers. Professional plan customers will receive access on March 1st, 2026.
Getting Started
To enable AI-powered sprint intelligence:
- Navigate to Settings → AI Features
- Enable "Sprint Intelligence"
- Configure training data window (recommend 90 days minimum)
- Review and approve AI model access to historical data
For questions or assistance with migration, contact your Customer Success Manager or reach out to support@uranuslab.com.
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