Software Delivery Agent
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On-demand Webinar
On-demand Webinar

How AI enhances DevOps for efficient software delivery | Harness Resource

As software delivery pipelines grow in scale and complexity—especially in enterprise environments—development teams are facing three critical pain points: cognitive and operational overload, reactive and inefficient troubleshooting, and a lack of scalable governance and security. But AI is transforming the DevOps landscape, empowering developers, streamlining operations, and enforcing enterprise-grade governance at scale.

In this information-packed Tech Talk, veteran technology journalist John K. Waters talks with DevOps strategist and AI integration expert Rohan Gupta about how artificial intelligence is being leveraged to radically simplify and improve the software delivery lifecycle.

You will learn:

  • How AI can dramatically reduce the time and effort required to design, build, and update CI/CD pipelines
  • How AI tools can assist in diagnosing build and deployment failures and application issues
  • How AI agents can programmatically generate and enforce security, compliance, and operational policies across thousands of pipelines
  • How different organizations—from fast-moving startups to highly regulated enterprises—are adopting AI in ways that align with their data sensitivity, infrastructure maturity, and strategic goals

Join us for an in-depth conversation about how AI is reshaping the way we build, deploy, and secure software—faster, smarter, and with fewer headaches. Whether you're a seasoned engineer or just diving into the world of CI/CD, this webinar will arm you with practical strategies, real-world insights, and a fresh perspective on what’s possible with intelligent automation.

Published
January 1, 2024

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What you'll learn

Key Takeaways

AI Automates Pipeline Generation

AI agents can build and configure pipelines from scratch using natural language. In closed systems with fixed schemas, this approach achieves a highly accurate success rate.

Automated Rollbacks via Metric Correlation

AI verifies deployments by analyzing application metrics against previous versions. If performance thresholds fail, the system can automatically trigger a rollback without requiring developer intervention.

Accelerated Vulnerability Remediation

Instead of just flagging security issues, AI summarizes vulnerabilities and pinpoints the exact lines of code that need fixing. It can even automatically open pull requests to resolve these flaws.

Streamlined Compliance and Audit Reporting

AI simplifies regulatory audits by mining deployment data across multiple systems. It gathers details like build artifacts and approvals to help teams meet strict compliance frameworks.

AI QA Agents Prevent Faulty Deployments

The speed of AI-assisted coding requires a balancing factor in quality assurance. AI agents test changes end-to-end to ensure critical functions work before reaching production.

Tracking and Governing AI Assets

Organizations can govern AI usage by tagging generated pipelines with specific badges. Dashboards then track how often these pipelines are used and their overall success rates.