Gail Axelrod, Author at Jellyfish - Page 6 of 16

NEW: See AI's real impact on engineering teams with the industry's largest ongoing benchmark study. Explore the trends

Budget planning season

Best Practices DevFinOps

Why Successful R&D Budget Planning for 2026 Means Closer Alignment Between Finance & Engineering

blog-ai-impact-framework

AI Coding Best Practices

Cracking the AI Productivity Paradox: A Framework for Real Impact

ai coding pull request size

AI Coding

Does AI Assistance Mean Engineers Are Doing Less Coding Work? Maybe Not.

AI Coding Leadership

DORA 2025: AI as an Amplifier [Infographic]

6 board slides for R&D leader–template

AI Coding Best Practices Leadership

Bringing AI to the Boardroom: 6 Slides for Engineering Leaders [TEMPLATE]

engineering managers leading through acquisition

Best Practices Leadership Team Health

Leading Change Post-Acquisition: A Guide for Engineering Managers

Jellyfish AI Impact Multi Tool Comparison

AI Coding

Comparing the Impact of AI Tools with Jellyfish’s Multi Tool Comparison

Model Context Protocol (MCP)_Jellyfish

AI Coding

Now Available: Install the Jellyfish MCP via Claude Desktop

G2 Fall 2025 Grid_Jellyfish

In the Bloom

Three Years and Counting: Jellyfish Leads the Way in G2’s Software Development Analytics Tools Grid

7-KPIs

AI Coding

The Real Impact of AI Code Review Agents: What We Learned from 1,000 Reviews