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AI-Assisted JCL Testing in VS Code Diagnose, Remediate, Then Prove It!

Solution Category Endpoint Security
Type Webinar
Organization Software Engineering of America
Event Format Company Webinar

Webinar Description

Key Takeaways

  • Live webinar demonstrating AI-assisted JCL troubleshooting and testing within VS Code
  • Focuses on preserving institutional knowledge about JCL and batch applications as experienced staff retire
  • Features JCLplus+ runtime simulation for validating code changes before production deployment
  • Aimed at mainframe developers, DevOps teams and IT professionals working with IBM Z systems

About the Webinar

Software Engineering of America (SEA) presents a technical webinar on November 5, 2026, at 2pm ET examining how AI capabilities can be integrated into JCL management workflows. The session demonstrates the connection between AI-driven defect diagnosis and the JCLplus+ testing tool within the VS Code development environment.

AI-Driven JCL Troubleshooting

The webinar addresses a persistent challenge in mainframe environments: moving beyond generic AI suggestions to context-aware fixes grounded in organizational knowledge. The demonstration covers how AI can help developers understand the reasoning behind JCL issues rather than simply proposing solutions. This approach aims to bridge the gap between plausible recommendations and fixes that account for specific system configurations and business logic.

Runtime Simulation and Validation

A core component of the session involves using JCLplus+ to validate AI-recommended changes through target system runtime simulation. This testing approach allows developers to prove that modifications work correctly before deploying to production, reducing the risk associated with JCL changes in batch processing environments.

Who Should Attend

The webinar is designed for mainframe developers and engineers, IT professionals responsible for JCL and batch processing, and DevOps teams working with IBM Z infrastructure. Organizations facing challenges with developer onboarding to mainframe environments or seeking to modernize legacy JCL management practices will find the content relevant.