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Navigating AI for Testing: Insights on Context and Evaluation with Sourcegraph

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Innhold levert av Tessl. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Tessl eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

In this episode, Simon Maple dives into the world of AI testing with Rishabh Mehrotra from Sourcegraph. Together, they explore the essential aspects of AI in development, focusing on how models need context to create effective tests, the importance of evaluation, and the implications of AI-generated code. Rishabh shares his expertise on when and how AI tests should be conducted, balancing latency and quality, and the critical role of unit tests. They also discuss the evolving landscape of machine learning, the challenges of integrating AI into development workflows, and practical strategies for developers to leverage AI tools like Cody for improved productivity. Whether you're a seasoned developer or just beginning to explore AI in coding, this episode is packed with insights and best practices to elevate your development process.

Join the AI Native Dev Community on discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

  continue reading

43 episoder

Artwork
iconDel
 
Manage episode 452396074 series 3585084
Innhold levert av Tessl. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Tessl eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

In this episode, Simon Maple dives into the world of AI testing with Rishabh Mehrotra from Sourcegraph. Together, they explore the essential aspects of AI in development, focusing on how models need context to create effective tests, the importance of evaluation, and the implications of AI-generated code. Rishabh shares his expertise on when and how AI tests should be conducted, balancing latency and quality, and the critical role of unit tests. They also discuss the evolving landscape of machine learning, the challenges of integrating AI into development workflows, and practical strategies for developers to leverage AI tools like Cody for improved productivity. Whether you're a seasoned developer or just beginning to explore AI in coding, this episode is packed with insights and best practices to elevate your development process.

Join the AI Native Dev Community on discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

  continue reading

43 episoder

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