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Jellyfish_OpenAI_research AI Coding
Jellyfish and OpenAI Team Up to Measure the Impact of AI Coding Tools
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AI Coding
What New Data Tells Us About the Rise of Agentic AI in Engineering Workflows
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Team Productivity_An Engineering Managers Guide to Measuring Outcomes Frameworks
Team Productivity: An Engineering Manager’s Guide to Measuring Outcomes
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Jellyfish AI Impact Framework AI Coding Frameworks
The Jellyfish AI Impact Framework: A Practical Guide for R&D Leaders Navigating the Hybrid AI-Human Era
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Jellyfish 2025 State of Engineering Management
2025 State of Engineering Management Report
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Jellyfish AI Impact data_June 2025 AI Coding
AI Use in Engineering Up 260% YoY, According to Jellyfish Analysis of 2M+ PRs
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Engineering Together AI Impact
AI Coding Impact: Practical Measurement Approaches
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Engineering Together
Quantifying AI Coding Impact: A deep dive into vendor native data
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Manager to engineer ratio DevEx Leadership
The Silent Drain: How Unbalanced Manager to Engineer Ratios Hurt Developer Retention (And How to Fix It)
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SEI
The Software Engineering Intelligence Maturity Model
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Copilot capacity increases AI Coding
With Copilot, Study Finds Engineers Get 15% More Capacity without Additional Headcount
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Jellyfish_OpenAI_research AI Coding
AI Codegen Tools Propel Senior Developers. In 2025, They Should Lift Junior Talent Too.
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We Analyzed 146,000 Jira tickets here's what we found AI Coding
We Analyzed 146,000 Jira tickets for Copilot Users. Here’s What We Found.
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Trends in Offshoring Engineering Leadership Strategy & Planning
Jellyfish Research: Trends in Offshoring Engineers Based on Data from 62,000 Engineers from 2019 to 2024
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blog-Measuring the Impact of Generative AI AI Coding
Measuring the Impact of Generative AI Coding Assistants with Data, Not Feelings
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The State of Engineering Management in 2024
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