For decades, software engineering literacy meant mastering languages, frameworks, and the mechanics of writing code. Those skills are still required, but there’s a nuanced shift in the value we add as developers now.

That shift is towards thinking clearly about systems, intent, constraints, and feedback loops.

This session explores the emerging literacy developers need in an AI-assisted world. Through stories, live examples, and discussion, we’ll examine how coding is shifting from crafting lines of code to shaping environments in which high quality code emerges. 

We’ll explore how to work effectively with AI without surrendering judgement, how to design systems that remain understandable when much of the code is generated, and why the most valuable developers may soon be those who are best at designing context rather than writing purely syntax. 

Expect practical examples, surprising failures, and a conversation about what developer expertise really means in the age of AI.