Gail Axelrod, Author at Jellyfish - Page 4 of 13

NEW: Clearer visibility into AI’s impact with Agent Insights, Developer Sentiment & Executive Reporting Workflows Learn More

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

Jellyfish State of Engineering Management 2025

AI Coding Leadership

Engineering in the Age of AI: What the 2025 State of Engineering Management Report Reveals

blog-Jellyfish and Amazon

AI Coding

Jellyfish Releases Integration to Measure AI Impact for Amazon Q Developer

team pulse

Best Practices Team Health

Introducing Team Pulse: A Command Center for Engineering Managers

blog-g2-summer25-featured

Leadership Strategy & Planning

Setting the Standard for 12 Quarters: Jellyfish Named Consistent Leader in G2’s Software Development Analytics Tools Grid

Jellyfish AI Impact data_June 2025

AI Coding

AI Use in Engineering Up 260% YoY, According to Jellyfish Analysis of 2M+ PRs

genAI

AI Coding

Building a Growth Mindset in the Era of AI with Tripleseat’s CTO Pat Jenakanandhini

Jellyfish AI Impact_Cursor, Gemini, Sourcegraph

AI Coding

Jellyfish Measures AI Impact Everywhere You Work – Now with Support for Copilot, Cursor, Google Gemini Code Assist & Sourcegraph

Red Flags

Best Practices Delivery Management

5 Red Flags to Watch for When Evaluating Developer Productivity Tools

Model Context Protocol (MCP)_Jellyfish

AI Coding

Making Magic with Jellyfish’s MCP: How Ably Moves Beyond Data Retrieval to Unlock Real Analysis and Insights