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    Jellyfish is the Software Engineering Intelligence platform for best-in-class R&D organizations

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      Uncover issues impacting productivity with qualitative team insights

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Category Archives: AI Coding

blog_20-pull-request AI Coding

What Data from 20 Million Pull Requests Reveal About AI Transformation

Nicholas Arcolano  | December 09, 2025
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7-KPIs AI Coding

Early Adopters are Having Success with Autonomous Agents. Here’s How.

Sophie Goldstein  | November 24, 2025
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Jellyfish AI Impact new releases AI Coding

New in AI Impact: Autonomous Agent Insights, Developer Insights & Executive Reporting Workflows

Lauren Hamberg  | November 18, 2025
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DORA Jellyfish webinar AI Coding Best Practices

AI as Amplifier: Taking a Closer Look at the 2025 DORA Report with Lead Author, Nathen Harvey

Jellyfish  | November 10, 2025
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blog-Code Review Agent AI Coding

How to Unlock the Power of Code Review Agent Insights in Jellyfish

Ryan Kizielewicz  | October 30, 2025
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Jellyfish AI Impact Webinar AI Coding Best Practices

Jellyfish Deep Dive: Measuring the Adoption and Impact of AI Coding Tools

Ryan Kizielewicz  | October 22, 2025
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ai coding pull request size AI Coding

AI Coding Tools Not Paying Off? Your Code Architecture Might Be to Blame.

Nicholas Arcolano  | October 16, 2025
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7-KPIs AI Coding

How Prevalent is Autonomous Agent Use? Here’s What the Data Says.

Sofia Thompson  | October 15, 2025
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Jellyfish SonarQube partnership AI Coding Delivery Management

Jellyfish and Sonar Team Up to Provide Better Visibility into Code Quality, Coverage and Vulnerability Metrics

Krishna Kannan  | October 14, 2025
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blog-ai-impact-framework AI Coding Best Practices

Cracking the AI Productivity Paradox: A Framework for Real Impact

Krishna Kannan  | October 01, 2025
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