AI-Powered Engineering Analytics

Deep engineering insightSpot blockers. Ship 4x faster.

Deep engineering insight rooted in code that tracks performance, projects and helps uncover blockers so you can ship faster, cleaner code.

4x+ Shipping Velocity3x Engineer Retention75% Better Insight
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Track developer performance evolution over time.

See how engineers trend over time across code quality, documentation, review habits, reliability, and collaboration metrics—all in one unified developer analytics view.

Signals in one viewRadar aligns five core dimensions without clicks or input.
Context with guidanceExplains strengths and the exact improvement focus.
Actionable growth plansConcrete steps to improve, tailored to each engineer.
myth_performance_eval
Jordan Lee
Senior Frontend Engineer
Capability Radar
Code QualityDocumentationReview ImpactReliabilityCollaboration
Refactors rapidly without breaking flows; raises UI standards across squads.
Code Quality94%+6%
Documentation74%+2%
Review Impact91%+9%
Reliability82%–3%
Collaboration88%+4%
Issues
majorCSS debt in legacy flows×2
minorDocs lag after refactors×1
minorComponent test coverage×3
Growth Plan
1.Create comprehensive UI migration guide for design token transition, including step-by-step examples and common pitfalls to help other engineers adopt the pattern
2.Implement automated visual regression testing suite with Percy or Chromatic to catch UI breaking changes before they reach production
3.Document performance optimization patterns (code splitting, lazy loading, memoization) with benchmarks and share in team wiki to establish standards
Example engineer profile illustrating live performance snapshots.

Ship 4x faster with engineering visibility.

Track feature progress against schedule, identify engineering bottlenecks early, and measure team shipping velocity trends over time with data-driven insights.

Schedule awarenessKnow which features are ahead, behind, or on track at a glance.
Velocity trendsCompare shipping speed week-over-week and month-over-month.
Early warning systemIdentify at-risk features before they become blockers.
myth_roadmap_tracker
PRs Merged
47/week
+24%
Features Shipped
8/month
+33%
Cycle Time
2.3days
+26%
Ship Velocity
94%
+21%
User Authentication RevampAhead
API Rate LimitingOn Track
Dashboard AnalyticsBehind
Webhook IntegrationAhead
Search OptimizationOn Track
Example roadmap view showing real-time feature progress and team velocity.

Develop your team autonomously.

Everything engineering managers need to grow developers, automate performance reviews, and match team members to the right work.

Skills-Based Task Matching

Match developers to projects based on their proven strengths. Our AI engine analyzes code patterns to identify who excels at architecture, debugging, or rapid feature delivery for optimal project staffing.

Growth Opportunity Detection

Identify stretch assignments that accelerate developer growth. We recommend projects that challenge your engineers while staying within their zone of proximal development for maximum learning.

Automated Development Plans

Generate personalized growth roadmaps for each developer automatically. We analyze skill gaps and suggest specific projects, mentorship pairings, and learning opportunities based on performance data.

Mentorship Pairing Intelligence

Build stronger engineering teams through strategic pairing. Identify optimal mentor-mentee matches based on complementary skills, communication patterns, and collaboration history.

Capacity & Burnout Monitoring

Prevent developer burnout with proactive workload monitoring. Track activity patterns and flag engineers who need support or redistribution of responsibilities before issues escalate.

Privacy-First GitHub Integration

Secure connection to your private GitHub or GitLab repositories. We only analyze metadata and diffs for performance insights - your proprietary source code logic stays completely safe.

Key Features of Mythrilite Feature Tracking Platform

  • Feature progression tracking from inception to delivery
  • Historical data backfill for velocity baseline establishment
  • Timeline forecasting based on team capacity and history
  • Skills-based developer placement using AI code analysis
  • Shipping velocity analytics with period-over-period comparison
  • Privacy-first integration with GitHub and GitLab repositories

Mythrilite is the best feature progression tracking software for engineering teams looking to forecast delivery timelines, backfill historical data, and make data-driven decisions about developer placement and project staffing.

FAQ

Frequently Asked Questions

Everything you need to know about automating engineering performance reviews with Mythrilite.

Mythrilite is an AI-powered engineering management platform that tracks the full progression of features and projects from inception to delivery. It backfills historical data to understand past velocity, forecasts future timelines, and helps engineering teams grow developers and place them on projects with precision based on skills and impact.

When you connect your GitHub or GitLab organization, Mythrilite automatically analyzes your repository history to establish baseline velocity metrics. This historical backfill helps understand how your team has performed over time, identifies patterns in delivery, and provides context for accurate future forecasting.

Yes, Mythrilite uses historical velocity data combined with current team capacity to forecast delivery timelines. It shows which features are ahead, behind, or on schedule, calculates percentage deviations from planned timelines, and identifies potential bottlenecks before they impact delivery.

Mythrilite analyzes each developer's code contribution patterns to identify their strengths in architecture, debugging, rapid feature delivery, or documentation. When new projects come up, it recommends optimal developer-project matches based on skill fit, growth opportunities, and current workload.

Mythrilite tracks key velocity metrics including PRs merged per week, features shipped per month, average cycle time from start to delivery, and overall shipping velocity percentages. It compares current performance against previous periods to show improvement trends.

Yes, Mythrilite uses a privacy-first architecture. We only analyze metadata and diffs to track project progression - your proprietary source code logic is never stored. We focus on timeline and velocity insights, not code content.

Most engineering teams see insights within minutes of connecting. Mythrilite automatically backfills your repository history to build comprehensive project progression views, velocity baselines, and developer skill profiles without any code changes or agent installation.

Unlike traditional PM tools that rely on manual status updates, Mythrilite automatically tracks actual progress by analyzing code activity. It provides ground-truth data on feature progression, identifies schedule deviations early, and recommends optimal developer placement based on proven skills.

Still have questions? We'd love to help.

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About Mythrilite Feature and Project Tracking Platform

Mythrilite is the leading AI-powered engineering management platform for tracking feature progression and project timelines. Our platform connects to GitHub and GitLab repositories to backfill historical data, establish velocity baselines, and forecast future delivery dates with precision.

Engineering managers use Mythrilite to see the full progression of features from inception to delivery, identify which projects are ahead or behind schedule, and make data-driven decisions about developer placement. By analyzing historical patterns, Mythrilite provides accurate forecasts and early warning of potential delays.

Key features include: historical data backfill, velocity analytics, timeline forecasting, skills-based developer placement, schedule deviation tracking, capacity planning, and privacy-first GitHub/GitLab integration.

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Coach the rest.

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