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Does AI really make you more productive?

  • In the 2024 Accelerate State of DevOps Report, it was found that 76% of developers are using AI tools in their daily tasks, though 40% have little trust in AI.
  • Some experienced developers feel less productive with AI-generated code, as it can be sloppy, complex, and prone to errors.
  • AI adoption negatively impacts software delivery performance, affecting both throughput and stability metrics.
  • AI-generated code often leads to larger pull requests, making reviews more challenging and potentially sacrificing throughput.
  • Code reviewers may overlook important details in large changes, impacting the efficiency of the review process.
  • AI-assisted code reviews may not be trusted if the code being reviewed is AI-generated, further complicating the stability of software changes.
  • Over-reliance on AI for code generation can create an illusion of speed, potentially compromising software quality and stability.
  • Increased AI adoption may lead to a perceived productivity increase, but could result in poorer quality software and more broken changes.
  • Vibe coding, dependent on AI for app development, can result in unstable applications, outages, security vulnerabilities, and loss of work.
  • Software development teams need to be cautious with AI adoption to prevent sacrificing stability for perceived productivity gains.

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