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Category Archives: AI Coding

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

Ryan Kuchova  | July 10, 2025
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Jellyfish State of Engineering Management 2025 AI Coding Leadership

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

Gail Axelrod  | July 08, 2025
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blog-Jellyfish and Amazon AI Coding

Jellyfish Releases Integration to Measure AI Impact for Amazon Q Developer

Krishna Kannan  | July 01, 2025
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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

Nicholas Arcolano  | June 18, 2025
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genAI AI Coding

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

Hannah McKeen  | June 17, 2025
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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

Krishna Kannan  | June 11, 2025
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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

Jamie Newcomb  | June 03, 2025
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ai coding pull request size AI Coding

May 30, 2025: AI Coding Digest

Gail Axelrod  | May 30, 2025
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blog-Best Practices for AI Adoption AI Coding Best Practices

Guiding AI Coding Tool Adoption with Intention: Best Practices for Engineering Teams

Davis Keene  | May 29, 2025
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ai coding pull request size AI Coding

May 23, 2025: AI Coding Digest

Gail Axelrod  | May 23, 2025
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