AI code assistants are becoming more accurate and reliable, finally delivering on their promise to accelerate development workflows and streamline programming tasks. But how do you balance speed with security and maintain code quality?
Watch
Olaf Molenveld, Technology Advisor at CircleCI, and
Brandon Jung, VP of Ecosystems at Tabnine, as they explore the risks, rewards, and best practices for integrating AI code assistants into your software development process.
What you’ll learn:
✅ How to use CI/CD platforms to create safeguards for AI-generated code
✅ Best practices for balancing AI-driven efficiency with security and compliance
✅ A hands-on look at AI code generation in action — from ideation to delivery
✅ How to build a high-velocity feedback loop that ensures quality, test coverage, and compliance
See firsthand how Tabnine’s AI code generation and CircleCI’s automation and validation work together to help teams move faster — without compromising reliability.
🚀 Watch to learn how to maximize AI-driven development while mitigating risk.