3 posts tagged with "claude"

A 999 call comes in: a 3-storey building is on fire, casualties are reported, and High Holborn is gridlocked. The Incident Commander has roughly 90 seconds to answer four questions. Which hospital can take burns patients — and is it under pressure? How many pumping appliances does the NFCC minimum require for a multi-storey structural fire? Which traffic corridor can the ambulances actually reach? And does this cross the threshold for a formal Major Incident declaration?

Which agentic pattern you use to support that decision changes everything — not just how fast the answer arrives, but whether the answer is auditable, protocol-compliant, and safe to act on without a human double-checking it.

This is Part 2 of the JigsawFlux series on open-source agentic frameworks. Part 1 compared LangGraph, CrewAI, and AutoGen at the framework level. Part 2 puts eight specific reasoning patterns — ReAct, ReWOO, Plan-and-Execute, Reflexion, Hierarchical, DAG, Network/P2P, and Consensus — through the same incident and measures what each one actually does. The full source is at github.com/JigsawFlux/agentic-patterns.

The first decision in any agentic project isn't which model to use. It's which framework will orchestrate it. Get that wrong and you inherit a stack you can't run locally, can't afford to scale, and can't escape when the vendor changes the API.

This is a JigsawFlux project. JigsawFlux builds open-source tools for health tech, humanitarian response, and crisis management — in places where "cloud-native" is not an option and IT budgets are measured in grants, not headcount. That context imposes hard constraints on every architecture decision: portability, cost, and freedom from vendor lock-in.

The frameworks here — LangGraph, CrewAI, and AutoGen — were chosen because they meet those constraints. They are open source, actively maintained, and run entirely on hardware you own. Alternatives like Microsoft Semantic Kernel or Amazon Bedrock Agents are capable, but they introduce hard dependencies on specific cloud ecosystems. That trade-off doesn't fit the JigsawFlux model.

AI Tools for Architects: Beyond Code Generation​

Practical use cases for Solution, Infrastructure & Enterprise Architects Featuring Claude™, GitHub Copilot™, and Gemini™ + Antigravity™

The rapid explosion of LLMs and AI tools to assist software engineers and architects is mind-boggling. Selecting the right tools for each use case can be a daunting task. I have been experimenting with three superpowers: Claude Code™, GitHub Copilot™ + VS Code, and Antigravity™ + Gemini™. Variations such as using Cursor with Claude™ can easily be derived from this.

This article also shares a GitHub repo that demonstrates some of the architecture use cases.