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Why AI Coding Assistants Haven’t Accelerated Delivery: The Real Bottleneck Lies Elsewhere

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Navigating the Shift in Software Engineering: From Coding to Collaboration

Agoda’s latest insights reveal a pivotal transition in software engineering dynamics. While AI coding tools boost individual productivity, project-level gains are limited. The real bottleneck lies not in coding but in the upstream areas of specification and verification, demanding human judgment.

Key Insights:

  • Improvements in Coding Velocity: Research shows teams with high AI adoption complete 21% more tasks yet face a 91% increase in pull request review time.
  • Team Structure Evolution: Smaller, focused teams achieve faster alignment and collaboration, shifting from coding as the primary value-creating activity to meaningful communication.
  • Three Models of Engagement with AI:
    • White Box: Detailed review of AI code.
    • Black Box: Minimal oversight for speed.
    • Grey Box: Balanced accountability with specifications and results verification.

This refocus emphasizes human authority in specifying and governing intent over mere coding practices.

💡 Join the conversation! How is your team adapting to these changes? Share your thoughts below!

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