AI makes coding feel easy. Describe what you want, generate code and deploy faster. It feels like progress, but what if that sense of simplicity is actually a risk?
With LLMs making code generation accessible to almost anyone, the barriers to coding have significantly decreased. However, generating code is not the same as engineering secure, reliable software.
In this Square Table, Dr. Yuri Bobbert and Zetta Henigman challenge the assumption that AI makes software development easier and explore the hidden risks through a real-life banking case.
The session will cover:
- The AI illusion and its hidden risks: Why code that appears correct can still introduce serious security, quality and operational challenges.
- Can everyone really code now? The difference between generating code and engineering reliable software.
- A real-life banking case: A step-by-step examination of how using an LLM as a coding platform in a mortgage process can go wrong.
- Practical takeaways: Good practices and actionable lessons drawn from hundreds of real-world missteps.
