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InfoQ at 20: How Agile, Cloud, DevOps, and AI Traversed the Technology Adoption Curve

By

InfoQ

1mo ago· 11 min readenInsight

Summary

InfoQ celebrates its 20th anniversary, reflecting on its founding editorial bet: identifying emerging software ideas at the innovator/early adopter stages of the technology adoption curve and presenting honest practitioner experiences before the early majority arrives. The article traces how major technologies like Agile, cloud, DevOps, Kubernetes, ML, and AI have moved through this adoption curve over two decades, emphasizing real-world experience over hype.

Source

bskyInfoQ at 20: How Agile, Cloud, DevOps, and AI Traversed the Technology Adoption Curveinfoq.com

Key quotes

· 3 pulled
The most valuable thing a software developer publication could do was identify ideas in the innovator and early adopter stages of the technology adoption curve, get practitioners to write about them honestly, and put that material in front of senior engineers before the early majority showed up.
The focus was on adoption and real-world experience, not hype.
That framing of innovators, early adopters, early majority, late majority, and laggards is still
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A look back at twenty years of software evolution on InfoQ, tracing how Agile, cloud, DevOps, Kubernetes, ML, and AI moved through the technology adoption curve.

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