))
Navigating AI for Testing: Insights on Context and Evaluation with Sourcegraph
Manage episode 452396074 series 3585084
Conteúdo fornecido por Tessl. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Tessl ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.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.
33 episódios
Compartilhar
