Are AS/400 Teams Using AI for More Than Just Code Generation?

Everyone is talking about AI-generated code.

But the biggest impact of AI in software development isn’t just writing code faster.

It’s reducing the hidden costs that slow down delivery:

✅ Unclear requirements

✅ Incomplete test coverage

✅ Time-consuming code reviews

✅ Manual test automation efforts

Today, AI is helping teams across the entire Software Development Lifecycle (SDLC):

🔹 Business Analysts — Generate acceptance criteria and identify edge cases early

🔹 QA Teams — Create test cases with broader positive and negative coverage

🔹 Automation Engineers — Generate automation scripts from requirements and test scenarios

🔹 Developers — Produce unit test cases alongside code development

🔹 Tech Leads & Architects — Automate code reviews against coding standards

For organizations running enterprise applications — including AS/400 (IBM i) environments — this means fewer defects, better test coverage, faster reviews, and shorter release cycles.

The question is no longer whether AI belongs in the SDLC.

The question is: Which stage of your development process can benefit the most from AI today?

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