What 344 Billion Lines of COBOL Code Mean for the Future of Banking Tech
What 344 Billion Lines of COBOL Code Mean for the Future of Banking Tech

Explore how COBOL still powers banking, why full replacement won’t work, and how AI-driven modernization offers a scalable path to digital transformation.

Why 68% of Legacy Systems Fail During Modernization—and How to Avoid It
Why 68% of Legacy Systems Fail During Modernization—and How to Avoid It

Avoid the pitfalls that derail most legacy modernization projects. Learn how to align strategy, tools, and teams to achieve scalable, low-risk transformation.

How AI Assistants Like Elliot Are Revolutionizing Legacy Code Modernization at Scale
How AI Assistants Like ‘Elliot’ Are Transforming Legacy Codebases at Scale

Discover how AI assistants like Elliot accelerate legacy code modernization—boosting team velocity, reducing risk, and making hidden systems visible.

Refactor, Replatform, or Rebuild? Choosing the Right Legacy Modernization Path
Refactor, Replatform, or Rebuild? Choosing the Right Legacy Modernization Path

Learn how to choose the right legacy modernization path—refactor, replatform, or rebuild—based on cost, risk, timelines, and business priorities.

Wincobol in 2025: Evaluating Legacy Tools in a Modern DevOps World
Wincobol in 2025: A Legacy Tool’s Role in the Modern Dev Stack

Discover Wincobol’s role in 2025 legacy stacks—where it fits, and how AI tools like CodeAura are reshaping COBOL maintenance strategies.

How to Onboard New Engineers Into 40-Year-Old Systems (Without Losing Your Mind)
How to Onboard New Engineers Into 40-Year-Old Systems (Without Losing Your Mind)

Learn how to onboard developers into 40-year-old legacy systems using AI, structured workflows, and metrics that improve time to contribution and retention.

Institutional Memory in Code: The Case for AI-Powered Legacy Documentation
Institutional Memory in Code: The Case for AI-Powered Legacy Documentation

AI-driven documentation helps enterprises preserve legacy system knowledge, reduce risk, and accelerate modernization with real-time, code-aware insights.

Bridging Generations: Training Gen Z Developers on Legacy Platforms Using AI
Bridging Generations: Training Gen Z Developers on Legacy Platforms Using AI

As legacy experts retire, Gen Z developers must step in—but mainframes and COBOL aren't in their toolkit. Learn how AI tools can bridge the generational gap, accelerate onboarding, and make…

The Great Retirement Cliff: Preserve Legacy System Knowledge Before It’s Too Late
The Great Retirement Cliff: How to Preserve Critical Legacy System Knowledge Before It’s Gone

Thousands of COBOL and JCL experts are retiring, taking decades of undocumented system knowledge with them. Learn how to identify at-risk expertise, automate knowledge capture, and build a cross-generational transition…

The $40,000-per-System Problem: How Legacy Code is Quietly Draining Your IT Budget
The $40,000-per-System Problem: How Legacy Code is Quietly Draining Your IT Budget

Legacy systems cost more than you think. Discover how outdated COBOL and JCL platforms quietly drain $40,000+ per year in hidden IT spend—and learn how to quantify risk, reduce cost,…

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