“As AI makes code generation easier, the real challenge shifts to reasoning across massive, interconnected systems. Potpie is ...

As organisations move from AI experimentation to deployment, the differentiator is not which large language model you choose – it is whether you have fed the AI agent the right information at the ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

AI teams are discovering that the most expensive part of an agent is not the model, it is the memory strategy wrapped around it. Retrieval-Augmented Generation has become the default pattern for ...

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...

OpenAI introduces Harness Engineering, an AI-driven methodology where Codex agents generate, test, and deploy a million-line ...

HR involves many workflows built on structured, repeatable processes, often taking time that could be better spent on more strategic tasks. This makes it a field ripe for automation by AI agents.

Explore the future of work with the autonomous workforce, where AI agents enhance efficiency and productivity in organizations.

The workforce of the future is already arriving. AI agents — autonomous co-workers capable of executing complex business tasks without human intervention — are moving from concept to reality across ...

AI agents in 2026 rely on tools, memory, guardrails, and evaluation; learn to build safer and avoid common failures ...

What if you could build an AI system capable of not just completing simple tasks but orchestrating complex, multi-step operations with the finesse of a seasoned strategist? Enter the world of AI deep ...