New data: Nearly half of PRs at top AI adopters are now opened by agents.Explore the data
Engineering ExecutivesDrive and communicate org impact
Engineering ManagersHelp your teams work more effectively
Platform EngineeringReduce friction & improve DevEx
Product LeadersBuild trust in roadmap predictability
Finance TeamsAutomate R&D financial reporting
Software DevelopersFind more focus and make your voice heardJellyfish turns your developer tool data into productivity insights that help R&D drive measurable impact in the AI era.
Automatically understand where AI and engineering effort is going across any custom category so you can ensure teams are investing in the right work.
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Connect AI spend, engineering effort, and delivery outcomes to understand what AI is producing, and whether it is meaningfully increasing your ability to ship software.
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Define and explore flexible engineering and AI metrics across delivery, investment, and workflows, while AI agents interpret results and surface what matters next.
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Understand how engineers prompt, chain, and structure AI interactions across the SDLC, and identify the behaviors and workflows that consistently improve outcomes.
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Gather survey insights to identify workflow friction and guide the improvements that lift developer productivity.
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Eliminate manual time tracking for capitalization and R&D tax credits with audit-ready, automated financial reports.
Learn More“Jellyfish helped us uncover deeper insights into AI usage, adoption, and impact across our engineering teams. This visibility allows us to benchmark our practices against industry standards and demonstrate to key stakeholders how Box is leveraging AI responsibly and productively.”
Julia GanSr. Director, Technical Program Management & Engineering Chief of Staff at Box
“Jellyfish has transformed the way we work…team performance has increased by 30% and our delivery has become significantly more predictable. It has bridged the gap between engineering, product, and finance, allowing us to connect our technical efforts directly to business priorities.”
Jaime VivasSVP of Engineering at Siigo
“Roughly 80% of our code is now generated by AI with up to 30% faster issue cycle times, but AI also introduced new bottlenecks we hadn't anticipated…when a transformation is moving this fast, operating blind isn't an option. Jellyfish gave us the data to understand where we were seeing real ROI, where the new constraints were emerging, and how to stay in control of something that's genuinely changing in front of our eyes.”
Ron Ben YosefVP, Technology & Business Operations at Loadsmart
Integrations
Unify data from all your tools and systems without changing how your teams already work.
See allocation, throughput, and outcome signals to optimize resources, forecast confidently, and quantify AI’s ROI.
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“We have a baseline of before AI came into play. We can really see the inflection point, the lifecycle of an issue started to shorten. In our case, 30-40% is what we’ve already seen, and our best teams are two to three times faster.”
Jason RasmussenCTO at LastPass
See Customer Story →Identify bottlenecks, spot capacity gaps, and coach with weekly signals for less thrash and more predictable sprints.
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“The level of visibility Jellyfish provides transformed AI from an experimental tool into a proven engine for business growth. Our teams are shipping code faster and delivering twice the value to our customers in half the time.”
Tom OsowskiEngineering Manager at TaskRabbit
Uncover friction across tools, pipelines, and workflows to prioritize fixes that improve flow and team efficiency.
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“DevEx has had a very positive impact on the engineering teams and morale. We’re getting subjective info from engineers and corroborating it with objective Jellyfish metrics.”
Michael RobinsonVP of Technology and Architecture at Kaleris
See Customer Story →Connect roadmap priorities with execution data to forecast accurately, manage tradeoffs, and hit dates more reliably.
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“I love Scenario Planner for roadmap planning. This is the tool I’ve been looking for years and I can’t believe no one else is doing what I perceive to be a necessity.”
Sam HeckDirector of Product at ZenQMS
Automate reporting for software capitalization and tax credits with audit-ready accuracy, and measure the impact of R&D investments.
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“With Jellyfish DevFinOps, we’re now able to better track the investments made while building a product. DFO helps us align language between engineering and the business.”
Tony PadovanoProgram Management Fellow at Priceline
See Customer Story →Stay focused on the right priorities, get feedback that helps you grow, and know your voice drives real improvement.
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“Having Jira tickets, PR data, and AI usage presented in a single pane of glass provides real-time team insights that were previously hard to track. It’s an essential tool for any engineering org.”
Pooja ErappaSoftware Engineer II at Diligent Corporation
40%
reduction in delivery lifecycle
100%
Claude adoption tracked across R&D org
“As we speed up software development, engineers stop manufacturing screws and start manufacturing engines and cars. You can build more complex things. Just start, and ideally, you're starting with Jellyfish.”
50%
reduction in KTLO work
18%
improvement in DevEx internal doc scores
“A lot of people get close to burnout because they use AI so much. We want as much productivity as possible, but not at the cost of losing engineers.”
80%
increase in throughput
72%
decrease in resolution time
“Jellyfish has dramatically improved our understanding of the reality of development across the business. We can easily show how resources are allocated and what trade-offs need to be made to deliver on long-term plans and strategies…Bottom line, we couldn't do this without Jellyfish.”
Understand where AI is being used, what it costs, and what it produces across your engineering organization, so you can align AI investment with real business outcomes.
See how AI is actually used across teams and workflows, and identify the behaviors, tools, and practices that lead to better engineering outcomes.
Turn engineering data into immediate answers, automated reports, and proactive recommendations, without manual dashboard work.
Learn from 1000+ engineering organizations to understand what good looks like, how you compare, and where to improve next.
Hands-on support tailored to your maturity, from rollout and planning help to ongoing enablement and organizational alignment.
Enterprise-grade integrations, security, identity and access management, and compliance from day one.
Research
Insights from 600+ engineering leaders on how top AI adopters are pulling ahead.
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Research
Explore this first-of-its-kind report on how AI is impacting the SDLC, based on data from 20M PRs.
See the Trends →
Research
A comprehensive framework for how to measure AI's adoption, delivery impact, and ROI.
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