Adnan Bilwani

The promise of AI in software development is clear - faster delivery, fewer incidents, and teams focused on innovation rather than toil. But how do you move beyond isolated AI tools to a coordinated workforce of AI agents that truly transform your SDLC?

Developers spend significant time completing the undifferentiated work of maintaining and upgrading legacy applications. Teams need to balance investments in building new features with mandatory patching and update work.

Explore how generative AI coding tools are changing the way developers and companies build software. Generative AI–powered tools are boosting developer and business productivity by automating tasks, improving communication and collaboration, and providing insights that can inform better decision-making.

As more organizations move to microservices architectures to scale their businesses, applications increasingly have become distributed, requiring the need for even greater visibility. IT operations professionals and developers need more automated practices to maintain application availability and reduce the time and effort required to detect, debug, and resolve operational issues.

Implementing observability differs at various stages of the software development lifecycle. In development, detailed logging and tracing are necessary to understand application behavior.

Join the mission to exterminate one million bugs! In this chalk talk, explore how you can empower your developers to discover and provide improvements in a short time while fostering team building and collaboration.