Streamline Human-AI Development
Get a unified view of how AI shapes work, combining system signals, agent behavior, and developer feedback to remove friction and scale effective workflows.
Reveal Workflow Patterns
Understand how AI influences writing, review, testing, and collaboration across day-to-day work.
Improve Human–AI Flow
Analyze agent and human contributions to optimize handoffs and reduce friction.
Scale High-Quality Output
Use quality and sentiment signals to refine workflows and guide responsible scaling.
Jellyfish gives us a picture of how Copilot is reshaping our organization.
Nicole Nunziata
Director of Technology Operations at Varo
Insights to Improve Daily Work
Track Workflow Shifts
See how the balance of AI-generated vs. human-generated code evolves to understand changing workflow patterns.
Identify Tool Strengths
Compare how each tool performs across writing, refactoring, reviewing, documenting, and debugging to optimize task fit.
Analyze Workflows Deeply
Drill into AI’s impact by individual, team, role, and more to understand complex workflow changes and adapt accordingly.
Understand Agent Collaboration
View PRs, contribution splits, and merge outcomes to learn how humans and agents collaborate, and which patterns drive success.
Monitor Code Quality
Use quality metrics to see how AI affects code health and identify where workflows need adjustment.
Incorporate Developer Signals
Combine sentiment on enablement, productivity, and suggestion quality with system data for early, directional insight.
Integrate Your Full AI Tech Stack
Unify insights across assistants, review agents, and emerging systems without changing existing workflows.
AI Impact Research
In-depth frameworks and guidance to support adoption, measurement, and scaling of AI.
4.5/5 on G2
4.8/5 on Gartner