Software Engineering Intelligence

Software Engineering Intelligence | Jellyfish

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Enable engineering performance and strategic alignment with Jellyfish software engineering intelligence platform. Integrate with Jira, GitHub, and more.

Business Intelligence, but for Software Engineering

• Data-Driven Insights: SEI transforms engineering from a “black box” by collecting and analyzing data from code repositories, issue trackers, CI/CD systems, production monitoring, and collaboration tools. ^{[7fdrt3] [8zq2jn] [snas8a]}
• Core Goals: Improve team efficiency, identify bottlenecks, reduce technical debt, automate decision-making, and track software quality and delivery speed. ^{[7fdrt3] [8zq2jn] [wz1wde]}

• Jellyfish: Maps engineering work to business objectives, helping align daily engineering activity with high-level goals.
• Waydev: Provides advanced engineering analytics to measure efficiency, PR cycle times, and resource allocation.
• Seerene: Aggregates data across the whole SDLC to reveal invisible risks and improvement opportunities.
• SonarQube: Automates code quality analysis and technical debt detection before merge.
• Cortex: Focuses on software ownership and operational maturity by tracking service health and dependencies.

• Impact on Velocity and Quality:
  • Direct Improvement: Many tools automate repetitive checks (e.g., code review, test verification) and surface bottlenecks, which enables faster development cycles and higher code quality. ^{[7fdrt3] [w0i4sr]}
  • Predictive Analytics: Machine learning models can predict burnout risk, deployment failures, or code hotspots—empowering teams to act proactively. ^{[7fdrt3] [8zq2jn] [w0i4sr]}
  • Continuous Feedback Loops: Real-time insights allow for immediate adjustment of process or resources, leading to ongoing optimization. ^{[w0i4sr] [wz1wde]}
• Impact on Management Visibility:
  • Transparency: SEIPs provide management with objective data on team performance, delivery risks, and alignment with business goals. ^{[7fdrt3] [8zq2jn] [snas8a]}
  • Informed Decision Making: Enables leaders to allocate resources, balance workloads, and prioritize high-impact work based on facts rather than intuition. ^{[snas8a] [w0i4sr]}

• Code Clim time, review speed, and bottlenecks. Offers actionable workflow automation. ate: Monitors code quality, technical debt, and trends in codebase health.
• LinearB: Tracks development pipeline metrics such as cycle

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