Session

Higher in the stack: the gap between natural language and code

Imagine: how great would it be if we don't have to care about code? Where a generated system is a black box that we only test for observable behaviour. Not having to review the generated code, no hassle debugging either, but guaranteed working software!

LLMs are not the only, but the newest solution claiming to realize this utopia. However, LLMs differ in key aspects from earlier significant developments that changed the way in which we make computers do what we want. In this session we take a problem-focused approach, learn from historic computer science successes and failures (such as compilers, model-driven engineering, DSLs and CNLs, and even low-code solutions) in order to take a different perspective.

A good understanding of the problem we are trying to solve enables us to take a different perspective, and allows us to see a slightly different future for software engineering. With, or without, LLMs.


Inspirational session focusing on addressing the problem LLMs 'solve' for us, accounting for the drawbacks we encounter currently. Promotes critical thinking by understanding a problem and evaluating potential solutions. Presents a potential future where software engineering and LLMs can empower each other when we apply the right solution in the right place.

Time: 30 - 50 minutes.

Jan-Jelle Kester

Software Architect, Trainer & Head of Research Software & Architecture @ Info Support

Nijmegen, The Netherlands

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top