Let’s address the AI-lephant in the room
Hi everyone,
Welcome to our monthly Rocket ACUCOBOL newsletter. This edition tackles the biggest question of the month (or maybe even the year): How is GenAI changing ACUCOBOL modernization?
Code Translations vs. Modernization:
What’s the difference
This week, COBOL made headlines again as the debate around AI‑generated COBOL resurfaced. The market reaction and the conversations online point to one thing: change is no longer coming. It’s here.
Though after more than 5,000 successful COBOL and ACUCOBOL modernization projects across all the industries, we’ve learned one lesson that matters now more than ever:
Code translation is not the same as software modernization. And confusing the two can put enterprises at real risk.
Code Translation Is Useful. But Language Isn’t the Problem
Many AI companies promise rapid “COBOL modernization,” but what they’re really talking about is syntax translation. And while COBOL is a straightforward language (ask any COBOL developer you know), and AI can certainly help accelerate development tasks, translating COBOL syntax is only a small fraction of the modernization journey.
The real challenge? Understanding and navigating massive, often decades‑old codebases packed with business logic, interdependencies, and mission‑critical processes. These systems often span millions of lines of code. With documentation gaps and retiring specialists, these valuable assets are becoming black boxes.
Mission critical applications also contain nonfunctional requirements, business processes, data semantics, operational runbooks, dependencies, call chains, data lineage, copybooks, architecture context, and more.
Attempting to change (or convert) an application of that scale using only AI and risking even the smallest hallucination can lead to core business disruption.
What “Modernized COBOL/ACUCOBOL” Actually Means
When we talk about modernizing COBOL and ACUCOBOL applications, we’re not talking about changing the business core. We’re talking about enabling the application to look, behave, and operate like any modern enterprise system.
A modernized ACUCOBOL application:
- Runs on today’s platforms: Windows, Linux, cloud, containers,
- Integrates seamlessly with Java, .NET, REST APIs, CI/CD pipelines
- Provides consistent user experience across different devices (web, mobile, tablet)
- Leverages ACUCOBOL data files via integrations with today’s databases
- Supports modern UIs and services
- Boosts developer productivity through GenAI (including Copilot or Claude) and industry-standard dev tools like Visual Studio Code extension.
In other words, the business logic that has been powering your organization for decades stays solid and the environment, tooling, and operational model changes with everchanging IT landscape.
Where AI drives value for enterprises today
AI is already transforming how enterprises approach modernization, and it’s crucial to understand its current limits. We see customers tooling Rocket ACUCOBOL solutions together with external AI services to accelerate insight, documentation, and change management.
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Application understanding: Code maps, call trees, data flows, and documentation generation.
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Onboarding & skills amplification: Copilot-style Q&A, code explanations, coding assistance.
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Quality & safety: Test scaffolding, regression test generation, change impact analysis, code hygiene.
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Developer velocity: Assisted refactoring, code understanding and coding assistance.
Industry analysts support this and echo each other highlighting that GenAI delivers the greatest value when it augments engineers, not replaces them.
Rocket ACUCOBOL x GenAI
In March, we’ll show you how to leverage AI tools like Copilot in ACUCOBOL analysis and development. You’ll also get an early look at our upcoming GenAI features planned for Rocket ACUCOBOL products later this year.
At Rocket, we understand that every modernization journey is unique and take deterministic approach when it comes to GenAI features. We do not send full mission‑critical applications into an LLM. Instead, we blend:
- GenAI
- Static code analysis
- Product documentation
- Custom prompts
- Decades of ACUCOBOL expertise
This results in the GenAI outputs rooted in your business context and eliminated the risks of hallucinations leveraging things AI does best.
What’s next?
If you have any questions about the role of AI in ACUCOBOL modernization or want to learn more on how to pair Rocket ACUCOBOL products with external AI tools, let us know in the comments.
