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Enterprise Layer Intelligence
Categories/Developer Tools/Jellyfish
Jellyfish

Jellyfish

Founded 2017

Measure engineering productivity, code delivery, and AI costs

Pricing model

Demo

You can use Jellyfish to measure engineering productivity, delivery speed, and operational costs across your development organization. It gathers data from pull requests, issue trackers, and developer activity to show cycle times, review speed, and DORA metrics. You can track how teams use coding assistants like Claude and GitHub Copilot, calculating their financial cost against actual delivery gains. It also includes developer surveys to identify work friction and burnout risks, giving engineering leaders clear insights to allocate resources and improve overall team output.

What Jellyfish does

Track DORA metrics across development teamsCalculate monthly AI token and seat expensesMeasure pull request review and cycle timesCompare delivery metrics to industry benchmarksDistribute developer experience and friction surveysGenerate engineering productivity reports for executivesIdentify review bottlenecks in software pipelinesTrack DORA metrics and cycle times across developers and automated agentsMonitor token spend and seat licensing costs for AI coding assistantsQuery engineering metrics and dashboards using a natural language assistantCompare internal team performance against benchmarks from over 1,000 organizationsCollect developer sentiment through research-backed surveys to pinpoint frictionAnalyze review duration, merge frequency, and bottleneck patterns in pull requests

Pricing breakdown

Pricing model: Book a demo

Frequently asked

ClaudeClaudeGitHub CopilotGitHub CopilotChatGPTChatGPTOpenAIOpenAI

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Jellyfish, engineering metrics, DORA metrics, developer productivity, code review, cycle time, AI spend tracking, GitHub Copilot metrics, Claude usage, engineering benchmarks