AI has fundamentally changed how software development works.

Yesterday’s software development process often looked like this: meet with customers, document requirements (a.k.a. a wishlist) as clearly as possible, transfer that knowledge to developers, write code, deploy, fix issues, and — if the budget allows — add tests at the end.  Documentation?  What documentation?  

AI offers tools to revert this flow for good — document, code, test, repeat. 

Documentation becomes more than notes or static requirements. It becomes a clearly defined block diagram of the system — a structured representation of logic that is independent of language, whether human (English) or programming (PHP, C++, BASIC, Rust, or any other language chosen for the task). Tests and code are coming together. Iterations become faster and allow teams to catch flaws in logic not just in code.

This session explores how modern teams can adapt their workflows to responsibly and effectively integrate AI tools into everyday development. We’ll look at practical strategies for using AI in real projects without sacrificing quality, security, or maintainability.

 

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Image Credit https://www.productftw.com/productftw-3-the-tire-swing-cartoon/

Audience: All Track(s): AI, Community, Dev / DevOps