Cobol
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IBM z/OS
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CICS
JCL
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DB2
IBM IMS
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IBM MQ
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Endevor
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IBM z/OS Connect
Java
API Connect
Join our community to see how developers are using Workik AI everyday.
Supported AI models on Workik
GPT 5.2 Codex, GPT 5.2, GPT 5.1 Codex, GPT 5.1, GPT 5 Mini, GPT 5
Gemini 3.1 Pro, Gemini 3 Flash, Gemini 3 Pro, Gemini 2.5 Pro
Claude 4.6 sonnet, Claude 4.5 Sonnet, Claude 4.5 Haiku, Claude 4 Sonnet
Deepseek Reasoner, Deepseek Chat, Deepseek R1(High)
Grok 4.1 Fast, Grok 4, Grok Code Fast 1
Models availability might vary based on your plan on Workik
Features
Generate COBOL Logic
AI creates COBOL programs, business rules, transaction workflows, and enterprise batch-processing logic.
Automate Batch Jobs
AI generates JCL scripts, scheduling logic, file-processing jobs, and high-volume enterprise automation systems.
Build Transaction Systems
AI generates CICS transactions, business workflows, DB2 interactions and enterprise transaction-processing systems.
Modernize Legacy Systems
Refactor legacy COBOL applications, simplify outdated architectures, and improve enterprise system maintainability with AI.
TESTIMONIALS
Real Stories, Real Results with Workik
"As someone newer to mainframe systems, Workik AI helped me understand JCL, COBOL workflows, and CICS transactions much faster."
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Diego Gomez
Junior COBOL Developer
"We used Workik AI to automate repetitive batch jobs, reporting workflows, and enterprise file-processing tasks across multiple banking systems."
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Anushka Tiwari
Platform Engineering Lead
"Workik AI made modernizing our older COBOL applications much less painful. The refactoring suggestions were surprisingly practical."
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Amil Hadid
Legacy Systems Architect
What are the popular use cases of Workik AI Mainframe COBOL Code Generator?
Developers use Workik AI for a wide range of enterprise COBOL engineering and mainframe modernization workflows, including:
• Generating COBOL business logic, transaction workflows, and enterprise processing systems
• Automating JCL scripts, batch-processing jobs, and scheduled enterprise workflows
• Optimizing DB2 queries, VSAM operations, and high-volume mainframe processing systems
• Refactoring and modernizing legacy COBOL applications and outdated enterprise architectures
• Building CICS transaction workflows for banking, insurance, and financial processing systems
• Generating reporting systems, validation workflows, and enterprise file-processing logic
• Creating API integration layers and modernization workflows for legacy mainframe systems
What context-setting options are available in Workik for Mainframe COBOL development?
Adding context in Workik is optional. When provided, it helps generate more accurate and personalized AI outputs for COBOL workflows. You can add any of the following context:
• GitHub, GitLab, Bitbucket, and Azure DevOps repositories
• COBOL programs, JCL scripts, and batch-processing workflows
• DB2 schemas, VSAM files, and enterprise data structures
• CICS transactions, IMS workflows, and enterprise messaging systems
• Mainframe APIs, integration logic, and modernization requirements
• Files, technical documentation, and enterprise architecture notes
• Error logs, debugging workflows, and performance reports
• Legacy system migration plans and modernization strategies
How does Workik AI help modernize legacy COBOL systems?
Workik AI helps refactor outdated COBOL applications and simplify legacy architectures. It improves maintainability and supports gradual modernization across enterprise mainframe environments. Teams use it to expose COBOL systems through APIs, integrate with modern applications, and reduce technical debt in long-running enterprise systems.
Why do developers use Workik AI for COBOL batch-processing automation?
Enterprise batch workloads often involve large-scale file processing, reconciliation jobs, reporting pipelines, and scheduled operational tasks. Workik AI can generate JCL, processing workflows, and automation logic that align with existing mainframe operations.
What makes Workik AI useful for CICS transaction processing workflows?
CICS applications often rely on complex transaction flows, screen interactions, validation routines, and backend integrations. Workik AI can generate transaction programs, business-processing logic, and supporting workflows that align with high-volume enterprise processing requirements.
How does Workik AI assist with COBOL debugging and optimization?
Workik AI can analyze COBOL programs, DB2 access patterns, VSAM file operations, batch-processing workflows, and CICS transaction logic to identify inefficiencies. It helps developers troubleshoot abends, optimize data access, reduce processing overhead, and improve execution performance across high-volume mainframe workloads.
How does Workik AI support mainframe API integration and modernization?
Instead of replacing COBOL systems entirely, developers can use Workik AI to generate API integration layers, messaging workflows, and hybrid enterprise modernization architectures. This helps organizations connect legacy mainframe systems with cloud platforms, modern applications, and enterprise service layers.
How does Workik AI help generate DB2 and VSAM data access workflows?
DB2 and VSAM remain core data layers for many enterprise mainframe systems. Workik AI can generate embedded SQL, file-access routines, validation logic, and data-processing workflows that align with both online transactions and batch-processing environments.
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COBOL: Question & Answer
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