AI is changing how software gets built. Tools that can write and refactor code are no longer science fiction—they’re already reshaping developer workflows and business strategies alike. But with that speed comes a serious question: Can we trust the security and quality of code written by machines?
Explore how Progress Software and SIG teamed up to answer that question. Their shared goal: Prove that AI-generated code doesn’t have to introduce hidden risk or technical debt, but can instead accelerate quality, reduce rework and support enterprise-scale development.
This paper discusses the results of that collaboration, including real metrics, architecture and a clear path to production. This joint POC between SIG and Progress demonstrates that LLM coding can be transformed from a technical-debt generator into a quality accelerator.
