For AI code assistants, recent accuracy and reliability advancements mean these powerful tools are starting to live up to their promise for developers, accelerating their workflow and helping with programming tasks.

Join Olaf Molenveld, Technology Advisor at CircleCI, and Brandon Jung, VP of Ecosystem at Tabnine, to look into the potential risks, rewards and best practices with AI code generators to increase speed and efficiency in your software development. You will discover how to leverage the power of CI/CD platforms to create guardrails and checkpoints to make sure these new tools are creating only value for you -- not introducing risk for your application and your business.

In this latest episode of our AI series we will move beyond theory to hands-on, practical implementation.

• Follow along as Olaf and Brandon work through a practical use case from AI code generation to delivery and learn how to manage obstacles on the way.
• Learn how to get the best value out of code generation, combining Tabnine code-generation and CircleCI validation, testing & automation.
• Discover how to create a high velocity feedback loop for development teams, while automatically ensuring code quality, test-coverage, security, and compliance. 00 - Intro 45 - Agenda 30 - Goals 30 - How does code generation work 30 - Pros and cons of code generation 08 - How to reduce risks with CI/Cd integration 19 - Demo 09 - Recap & questions