Large Language Models (LLM) have enabled machines to write code. The resulting movement, AI-assisted coding, promises to improve the productivity of software developers. However, AI-assisted coding is still in its infancy. This implies that we should embrace it with caution, guardrails, and realistic expectations.
Learning to code in the modern era is a world away from how many current software developer acquired their skills. Programming used to be algorithmic and is becoming ever more heuristic in its nature, with machine learning and artificial intelligence (AI) coming more to the fore.
This presentation presents a rational guide to software security based on what Niall Merrigan has seen, what he does himself and practices he wishes he did but might have to do now because he wrote a talk about it.
The essence of software design is structure: what parts comprise the whole and how are they related? In the field of software, we have ways to structure implementation — with functions and datatypes, design patterns, architectures, and so on — but we lack a way to structure behavior. Witness the …
Moving to a distributed system will solve all your problems and you will be in developer heaven. Right? Not exactly, having hundreds of services doing different things means it’s increasingly difficult knowing where exactly production issues are hiding. In this talk Sam Elamin will relate his real life experience working …
What’s does a mouse drag event have in common with an Array of numbers? The answer to this question may surprise you: they are both collections. This key insight holds the key to dramatically simplifying asynchronous programming in JavaScript. This presentation talk about its usage at Netflix and Microsoft with …
