Smarter Pull Requests: AI That Tests, Fixes, & Validates Java Code
Join this webinar to see how agentic AI supports testing and code analysis directly within the pull request workflow.
New AI code generation workflows are speeding up Java application development. But many teams are still figuring out how to scale testing and code quality practices alongside them. As code changes increase, development teams face new pressure—tasks like unit test creation and static analysis remediation still require meaningful engineering effort.
You’ll learn how to:
•Automatically trigger static analysis and unit testing workflows on every pull request using agentic AI.
• Detect, fix violations, and verify those fixes using LLM agents before merging code.
• Generate unit tests for modified code to strengthen quality at the PR level and meet quality gates.
• Combine static analysis remediation and unit test generation into one autonomous CI/CD workflow.
You’ll learn how to:
•Automatically trigger static analysis and unit testing workflows on every pull request using agentic AI.
• Detect, fix violations, and verify those fixes using LLM agents before merging code.
• Generate unit tests for modified code to strengthen quality at the PR level and meet quality gates.
• Combine static analysis remediation and unit test generation into one autonomous CI/CD workflow.
