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Category Archives: Best Practices

AI Coding Best Practices

What Jellyfish AI Impact Delivers (That Native Dashboards Can’t)

Daniel Kuperman  | January 21, 2026
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Deep Dive_December-Blog Post Recap AI Coding Best Practices

Deep Dive Recap: What’s Next for Engineering in the Age of AI with VPE Forum CEO Melanie Ziegler

Jellyfish  | January 09, 2026
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Red Flags Best Practices

12 Best GetDX Alternatives for Engineering Teams Heading Into 2026

Lauren Hamberg  | December 14, 2025
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Engineering KPIs Best Practices

The 26 Most Valuable Engineering KPIs and Metrics for Tracking This Year

Lauren Hamberg  | December 14, 2025
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9 pluralsight flow alternatives Best Practices

9 Best Pluralsight Flow Alternatives for Engineering Leaders in 2026

Lauren Hamberg  | December 13, 2025
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Swarmia Alternatives Best Practices

14 Best Swarmia Alternatives & Competitors on the Market Today

Jellyfish  | December 13, 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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How to Align Product and Engineering to Drive Better Planning Best Practices Engineering Investment and Business Alignment

How to Align Product and Engineering to Drive Better Planning in 2026

Krishna Kannan  | October 28, 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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Best Practices DevFinOps Strategy & Planning

How to Use Real Data to Build Your 2026 R&D Headcount Planning Model

Joanne Cheng  | October 22, 2025
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