Laura Tacho

Laura Tacho, CTO at DX and expert in developer productivity, joins to dissect AI’s reality in software engineering. She reveals insights from her research across 180+ companies, emphasizing that AI's benefits aren't always as clear as advertised. They delve into why developers resist AI tools and how oversimplified media portrayals mislead perceptions. Laura highlights the significance of measuring developer experiences before AI rollouts and discusses how AI-generated documentation varies from human writing, challenging traditional productivity metrics.

In this discussion, Laura Tacho, CTO at DX and creator of the Core 4 framework, dives into the world of developer productivity metrics. She emphasizes the importance of controllable input metrics over misleading output metrics, highlighting pitfalls like Goodhart's Law. Laura shares practical tips for fostering a culture of continuous improvement and why too much focus on outputs can distort data. Expect insights on engaging developers, setting effective goals, and measuring the real impact of productivity in engineering teams.

In this engaging discussion, Laura Tacho, CTO at DX, shares insights from her extensive research on developer intelligence. She addresses the growing gap between AI hype and its real-world impact within engineering teams. Highlights include a practical playbook for measuring AI's effectiveness, the importance of fundamentals in software development, and the Core 4 Framework that has already saved Block over 500,000 hours. Laura emphasizes that enhancing developer experience is crucial for maximizing performance and ensuring meaningful AI integration.

Laura Tacho, CTO at DX, shares her expertise on overcoming barriers to AI adoption in engineering teams. She identifies that fear, unclear expectations, and inflated hype often stall progress, rather than technical challenges. Tacho emphasizes the importance of modeling usage from leadership, building momentum through training programs, and measuring impact effectively. Her practical strategies include establishing baselines and fostering a supportive culture for experimentation. This insightful conversation reveals how to navigate the complexities of integrating AI in the workplace.

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.