#ai

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Building an AI-First Software Engineering Organisation

AI makes implementation cheaper. Organisations will capture the benefit only if they redesign how they discover problems, make decisions, maintain context and validate what they release.Engineering organisations still use structures designed for a period when producing code was time-consuming: detailed handovers before anybody could see a result, plans calibrated around implementation effort, and review and quality assurance (QA) practices that combined technical, product and risk checks. Adding an AI coding tool does not resolve the mismatch between cheaper implementation and...

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Agentic AI: Building the Right Mental Model for System Design

AI agents have evolved from Large Language Models (LLMs) that primarily generate responses to systems capable of reasoning and dynamic decision-making. By interpreting goals, inferring what is needed, and integrating external capabilities such as APIs and databases, the LLM serves as the decision-making core of an agent. Agentic AI refers to systems built around these intelligent agents.An AI agent extends beyond a simple prompt by combining an LLM’s reasoning capability with functional layers such as tools, memory and orchestration. Tools...

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