Use Personalized AI Agents to Speed Up Software Development & Improve Code Quality [TestĪ¼ 2024]
Blog post from LambdaTest
In a session by Eran Yahav, CTO of Tabnine, he discussed how AI code assistants can be enhanced to improve software development productivity and code quality. He explained the concept of Retrieval-Augmented Generation (RAG), which improves AI suggestions by incorporating external information for more relevant recommendations. Yahav also highlighted the importance of integrating AI with existing codebases, such as through IDEs and code repositories, to boost performance. He emphasized that AI is already delivering substantial productivity gains in software development, ranging from 20% to 50%, by supporting various stages of the SDLC. The session provided valuable insights into optimizing AI tools for better productivity and code quality.