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Why Engineering Executives Are Lacking Critical Visibility

Nov 19, 2024 - forbes.com
The article discusses the importance of developer productivity for business success and the shortcomings of current tools in providing meaningful insights. It highlights that while many platforms pull data from tools like Jira or GitHub, they often only provide surface-level metrics that fail to give a full understanding of a team's performance. The article suggests that AI can help bridge this gap by analyzing various aspects of development activities and providing deeper insights into the quality, impact, and efficiency of the work.

The article also emphasizes that AI should not be seen as a replacement for human judgment but as a support tool. It suggests that the real value of AI comes when its insights are combined with human judgment and aligned with team goals. The article concludes by stating that companies that effectively manage their engineering teams and leverage AI for insights will lead the way in productivity and competitiveness.

Key takeaways:

  • Current tools used by engineering leaders often fall short as they focus on surface-level data, failing to provide the full context needed to understand the actual performance of their teams.
  • AI can be a game-changer for engineering leaders by analyzing everything from development activities to code quality and task details, providing insights that can help make better decisions.
  • Despite the benefits of AI, it is not meant to replace people. It works best when its insights are aligned with team goals and backed up with team feedback and personal observations.
  • With the rise of AI, there is an increasing need for smarter tools that can provide a deeper view into how teams are performing, helping boost growth, profit margins, and employee happiness.
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