Developers can enhance the software development life cycle with AI

AI coding assistants have gained significant traction among software developers over the past few years. In fact, industry analyst firm Gartner has predicted that, by 2028, 75% of enterprise software engineers will be using them. But AI is transforming more than just code generation. Across the software development life cycle (SDLC), there's growing potential to use AI to reduce frustration, accelerate workflows, and improve quality far beyond the IDE.

During this thought-provoking Tech Talk, veteran technology journalist John K. Waters talks with industry expert Chinmay Gaikwad about how AI can reduce developer toil and drive efficiency in areas like code search, pipeline debugging, test creation, and vulnerability explanation. Attendees will gain insight into untapped AI opportunities across the SDLC—from build to deploy—and discover how tools like Harness are leveraging AI across 15 integrated products to streamline and secure the software delivery process.

Key Topics Include:

• How AI is reducing friction in code repositories and accelerating onboarding
• Using AI to debug CI/CD pipelines and interpret complex logs
• Accelerating testing through dynamic test generation and relevance filtering
• AI’s role in understanding and remediating security vulnerabilities
• Verifying deployment quality and performance thresholds using intelligent automation

Whether you’re a developer, a DevOps engineer, or an engineering leader, this webinar will give you a fresh perspective on how to extend AI’s value beyond coding to a faster, smarter, and more resilient SDLC.

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