Large language models (LLMs) may have changed software development, but enterprises will need to think twice about entirely replacing human software engineers with LLMs, despite OpenAI CEO Sam ...
LLMs can’t replace core software development skillsBy Peter Wiles, Managing Director at Chillisoft Solution ServicesIssued by Chillisoft Solution ServicesJohannesburg, 27 May 2026 Peter Wiles, ...
In today's lightning-fast software landscape, traditional architecture practices are becoming a bottleneck. The velocity and complexity of systems scaling across ephemeral microservices, complex APIs ...
Two roles have quietly become the backbone of any serious AI deployment: the prompt engineer and the AI product manager. Understanding what they do — and how they work together — explains why some ...
Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and take actions, such as invoking program-analysis tools. As a result, they ...
Why LLMs can help with documentation, triage, policy drafting, and log review without replacing human judgment. Which risks matter most in enterprise AI use, including prompt injection, hallucinations ...
We love using software that runs quickly and requires little memory or power. Dr Dominik Sobania is investigating how it can be further optimised. He conducts research and teaches as a newly appointed ...
Generative AI is transforming how we learn, create, and build software—and this course provides a rigorous, hands-on introduction to the theory and algorithms behind today’s Large Language Models ...
Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...
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