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The Stack Overflow Podcast

Writing tests with AI, but not LLMs

Feb 25, 2025
Animesh Mishra, a Senior Solutions Engineer at Diffblue, specializes in tech adoption and previously founded a company in agricultural image analysis. He dives into the fascinating world of agentic AI, differentiating it from traditional language models. The conversation includes the transformative potential of AI in automating unit tests and code refactoring. Animesh also highlights the need for effective testing frameworks, the challenges faced by development teams, and the ongoing evolution of software development through automation.
41:44

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Quick takeaways

  • Agentic AI is revolutionizing software development by automating repetitive tasks like unit testing, allowing developers to focus on complex coding challenges.
  • The distinction between deterministic models and LLMs highlights the importance of predictability in automated testing, ensuring reliable results for developers.

Deep dives

The Role of Agentic AI in Software Development

The rise of agentic AI is transforming the software development landscape by automating tasks that traditionally required human intervention, such as writing unit tests. Agentic AI refers to systems designed to operate independently, executing tasks from start to finish without ongoing human input. This approach aims to free developers from repetitive tasks and enable them to focus on more complex aspects of coding. The conversation underlines the importance of predictability and customization, as developers need tools that they can trust to deliver consistent results without the need for constant oversight.

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