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The Engineering Leadership Podcast

Accelerating & upskilling your AI learning journey w/ Maher Hanafi #211

Mar 11, 2025
Join Maher Hanafi, a seasoned engineering leader from Betterworks, as he dives deep into the transformative power of AI in performance management. He shares his journey of implementing generative AI solutions, advocating for continuous learning and upskilling. Discover how AI can boost productivity while ensuring human-centric approaches in tech workplaces. Maher also discusses strategies for integrating AI within compliance-heavy environments and emphasizes the importance of team autonomy and fostering individual growth in this fast-evolving landscape.
46:44

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Engineering effectiveness relies on aligning investments with business objectives and enhancing developer productivity and experience through feedback.
  • Accelerating AI learning requires a shift from theoretical knowledge to practical application, emphasizing continuous learning and hands-on experimentation.

Deep dives

Investing in AI for Business Growth

Engineering effectiveness is framed around three key pillars: business outcomes, developer productivity, and developer experience. It is imperative to assess whether engineering investments are truly propelling the business forward, made evident by evaluating how resources align with company objectives and key results. Furthermore, understanding how developer productivity is affected by potential bottlenecks or process inefficiencies is crucial for optimizing output. Finally, gathering feedback from developers to ensure their experience remains positive allows teams to ground their efforts in tangible metrics.

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