Jellyfish
Engineering management platform measuring AI coding tool impact.
About
Jellyfish is an engineering management platform that unifies development, business, and financial data for R&D organizations. It tracks DORA and SPACE metrics, resource allocation, software capitalization, and developer experience across integrations with GitHub, Jira, Azure DevOps, and PagerDuty.
In 2026 Jellyfish leaned hard into the AI-native SDLC, launching AI Cohorts that segment and track how developers use tools like GitHub Copilot, Cursor, and Claude Code, plus a Metrics Explorer with natural-language custom metric creation and a Jellyfish Assistant AI chat interface that answers engineering questions from organizational context. Research Insights benchmarks AI adoption against more than 1,300 companies on the platform.
What it can do
- AI Cohorts tracking Copilot, Cursor, and Claude Code adoption
- Natural-language custom metric builder
- AI assistant answering questions from engineering context
- Benchmarks against 1,300+ companies
- DORA, SPACE, allocation, and DevFinOps dashboards
Setup
Sign up for a demo; connect GitHub, Jira, and calendar integrations to populate dashboards.
Prerequisites
Engineering org of 20+ developers; typically $15k/year minimum commitment.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 124; Trending score 80/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.