As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

This weekend Open AI has introduced Swarm a “educational framework exploring ergonomic, lightweight multi-agent orchestration“. Evening developers to use the experimental sample framework to build ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

Multi-agent orchestration makes workflow more inspectable, with clear handoffs and a QA backstop. Breaking the work into discrete steps makes the output easier to audit and fix. A timestamped handoff ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Visual Studio Code 1.109 introduces structured, multi-agent workflows that move AI assistance beyond single-chat interactions. Parallel subagents enable concurrent task execution without consuming the ...

AI is nervy. We know that a certain amount of Artificial Intelligence is somewhat nervy (or perhaps nervous) in its implementation because of concerns over decisioning bias, questions over the ...