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    ML Build Time Optimization

    Optimization
    Phase: build
    DF
    CFR

    Quick Reference

    Phase
    build
    Epic
    Self-Optimizing Build & Policy Governance
    Milestone
    Optimization
    Target
    >= 60% build time reduction via ML
    Implementation Time
    Part of Self-Optimizing Build & Policy Governance epic: 5.5 weeks (42 hours per capability avg)

    What & Why

    Definition

    >= 70% of builds use ML-optimized strategies (predictive test selection, intelligent caching) reducing time by >= 60%.

    Business Value

    Reduces CI/CD pipeline duration by 40% (15 min to 9 min) and cache hit rate improvement from 60% to 90% through AI-optimized caching Achieving >= 60% build time reduction via ML is a key milestone toward this goal.

    Context

    This capability is part of the Optimization milestone's focus on ai enablement, predictive ops, self-healing. Essential for teams targeting DF, CFR improvements.

    Success Criteria

    Target

    >= 60% build time reduction via ML

    Measurement

    Build time before/after ML optimization

    Evidence

    • ML optimization model
    • Build time trends
    • Test selection accuracy

    In Practice

    Real-World Implementation

    ML model predicts which tests to run based on code changes, impact analysis, historical failures. Skips 70% of tests safely, reduces build from 15min to 5min.

    Concrete Example

    PR changes authentication.ts. ML predicts affected tests: auth.test.ts, login.e2e.ts. Skips unrelated tests (payment, billing). Build: 15min -> 4min (73% reduction).

    Implementation Guide

    Prerequisites

    Fast Feedback Loop
    >= 80% CI runs < 10 minutes

    Implementation Steps

    Follow the measurement approach: Build time before/after ML optimization

    For detailed step-by-step guidance, refer to the Self-Optimizing Build & Policy Governance Implementation Kit.

    Resources

    Implementation Kit

    Self-Optimizing Build & Policy Governance Kit

    Templates

    Browse all templates

    Related Resources

    View learning paths

    Related Capabilities

    Prerequisites

    Implement these first

    Fast Feedback Loop

    Complementary

    Often adopted together, from the Self-Optimizing Build & Policy Governance epic

    Predictive Build Failure Detection
    Adaptive Resource Allocation
    Automated Flaky Test Remediation
    Intelligent Test Parallelization

    Troubleshooting & FAQs

    Common Issues

    Issue: Target metric not improving

    Solution: Verify measurement is accurate, check if prerequisites are fully implemented, review evidence artifacts for completeness

    Issue: Team resistance to adoption

    Solution: Start with pilot team, demonstrate value with metrics, provide training and support during transition

    Issue: Inconsistent implementation across teams

    Solution: Create shared templates and guidelines, establish regular sync meetings, use automation to enforce standards

    Frequently Asked Questions

    Can we implement this before completing prerequisites?

    While possible, it's not recommended. Prerequisites ensure foundational practices are in place, making this capability more effective and easier to adopt.

    How long does implementation typically take?

    Most capabilities can be implemented within 185 days when tackled as part of the Optimization milestone. Individual timelines vary based on team size and existing practices.

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