AI Coding
AI Coding
AI Coding Leadership
DORA 2025: AI as an Amplifier [Infographic]
AI Coding Best Practices Leadership
Bringing AI to the Boardroom: 6 Slides for Engineering Leaders [TEMPLATE]
Best Practices Leadership Team Health
Leading Change Post-Acquisition: A Guide for Engineering Managers
AI Coding
Comparing the Impact of AI Tools with Jellyfish’s Multi Tool Comparison
AI Coding
Now Available: Install the Jellyfish MCP via Claude Desktop
In the Bloom
Three Years and Counting: Jellyfish Leads the Way in G2’s Software Development Analytics Tools Grid
AI Coding
The Real Impact of AI Code Review Agents: What We Learned from 1,000 Reviews
AI Coding
Better Code, or Just Bigger? AI-Assisted Pull Requests Are 18% Larger
AI Coding
Jellyfish Enables AI Impact for Claude Code to Bring Greater Visibility to AI Adoption
AI Coding
Jellyfish and OpenAI Team Up to Measure the Impact of AI Coding Tools
AI Coding
Jellyfish AI Impact Now Supports Windsurf to Change How AI and Humans Work Together
AI Coding
What New Data Tells Us About the Rise of Agentic AI in Engineering Workflows
Best Practices
How to Measure Developer Productivity: Best Practices and Key Metrics to Track
Frameworks
Team Productivity: An Engineering Manager’s Guide to Measuring Outcomes
AI Coding Best Practices
3 Takeaways for Engineering Managers from Jellyfish’s State of Engineering Management Report
AI Coding Frameworks
The Jellyfish AI Impact Framework: A Practical Guide for R&D Leaders Navigating the Hybrid AI-Human Era
AI Coding Leadership