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WorkThe story, in brief

Podcast: Culture & Methods Trends 2026: The Human Side of AI Engineering

Engineering culture is shifting faster than AI adoption itself — here's what teams are actually changing in 2026.

Reporting by InfoQ AI/ML 1 min brief
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People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI moves from pilot to production, engineering teams are restructuring roles, managing new risks, and grappling with how to keep humans in the loop. This panel report captures the real organizational friction practitioners are facing right now.

The key facts

8 to know

  1. Panel discussion on AI adoption maturity and risk assessment in engineering teams

  2. Engineering team structure and role transformation tied to AI deployment

  3. Focus on preserving human dimensions of software development during AI transition

  4. Contributors include QCon speakers and InfoQ contributors (named: Ben Linders, Rafiq Gemmail, Craig Smith, Vanessa Formicola, Shawna Martell, Phillip Mortimer, Yinka Omole)

  5. 2026 engineering culture trends report

  6. Panel includes QCon speakers and InfoQ contributors discussing AI adoption trends

  7. Topics: AI adoption maturity and risk, engineering team structure transformation, roles changing, human dimensions of software development

  8. Published August 2026 — retrospective/current-year analysis of engineering culture shifts

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: This is the Engineering Culture Trends Report for 2026. Featuring a panel of QCon speakers and InfoQ contributors, they discussed AI adoption maturity and risk, the transformation of engineering team structures and roles, and the human dimensions of software development that must not be lost in…
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