Engineering Enablement by Abi Noda The evolving role of DevProd teams in the AI era
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Sep 26, 2025 
Laura Tacho, CTO of DX and a leader in developer productivity, joins to discuss how AI is transforming Platform and DevProd teams. They highlight the need for solid measurement frameworks for AI tool evaluation and the importance of hardening pipelines to manage AI's impact on workflows. Laura emphasizes tackling tech debt through AI modernization while maintaining essential practices like documentation and feedback loops. They also address the challenges of tool sprawl and propose collaborative and standardized AI workflows to enhance developer experiences.
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Platform Teams Own AI Tool Rollouts
- Platform teams now own evaluating and rolling out AI tools across the organization.
- This responsibility spans vendor selection, procurement, rollout, and demonstrating measurable impact.
Measure AI With Research-Backed Metrics
- Implement strong measurement frameworks to judge AI tool success, not just lines of code.
- Use research-backed metrics like the AI Measurement Framework to inform investment and adoption decisions.
AI Raises Throughput And System Stress
- AI increases code throughput and batch sizes, which stresses pipelines and feedback loops.
- Harden build, test, and local dev environments to handle higher velocity and maintain quality.