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Anthropic's Claude Code dynamic workflows run parallel subagents to tackle codebase-wide audits, large migrations, and complex engineering tasks end-to-end.
Drupal’s workflow tools are being described less as rivals and more as complementary layers. The open question is whether shared primitives can make them compose safely for AI-driv...
Shibin Das explains why visual workflow tools need visible execution, audit trails, runtime ownership, and clear boundaries between deterministic workflows and AI-assisted decision...
Dynamic workflows, as explained by Prompt Engineering, represent a structured approach to managing complex tasks through the use of scripts rather than traditional context windows....
Мы проверили фичу Dynamic Workflows на реальном проекте. Не ради хайпа или оценки "хорошая фича" / "плохая фича". Вопрос был чисто практический:- усиливает ли Dynamic Workflows наш...
Agentic workflows let AI agents plan, call tools, and act across many steps. Learn how they work, their patterns and use cases, and how to make them reliable.
In today’s fast-moving digital world, organizations are constantly searching for ways to improve productivity, reduce costs, and deliver…Continue reading on Medium »
When we started working on the Drupal AI initiative in June 2025, I assumed most AI features would live inside Drupal. By my DrupalCon Chicago keynote in March 2026, my thinking ha...
Claude: Anthropic adds dynamic workflows to Claude Code, enabling hundreds of subagents to run in parallel for complex engineering tasks such as framework migrations — Early acce...
This article covers five concrete agentic workflows, one for each major stage of a data science pipeline.
This article covers five concrete agentic workflows, one for each major stage of a data science pipeline.
When AWS announced Lambda Durable Functions at re: Invent 2025, my first reaction was, "Okay, but how is this different from Step Functions?" I have been building serverless workfl...
Long-running, distributed business processes often require careful coordination, state management, and fault handling. Temporal offers a code-first approach to durable workflows: d...
The New Workflow Modeler: Revolutionary, Not Just Improved
Back in October 2022, I wrote a short blog post explaining how I automated our Datadog Marketplace sales cycle using a few AWS services and my first-ever Golang program. That basic...
Dynamic workflows in Claude Opus 4.8.8 offer a structured way to handle complex tasks by dividing them into smaller, independent components. These workflows enable parallel task ex...
In this post, we show you how to combine case management with agentic automation capabilities in Quick Automate. We introduce case management and explore the lifecycle of cases in...
Slack is built for quick communication, but channels can get cluttered fast when every update, request, and reminder has to be handled manually. Once you understand the basics of h...
In my previous article, I argued that the real moat in AI isn’t the model. It’s the infrastructure that survives after the model finishes…Continue reading on Medium »
This post walks through building and running a real-world agentic workflow with Agentican and Quarkus. Specifically, an agentic workflow to automate market research and information...
By continuously aligning supply, workforce and financial outcomes, organizations can move beyond reactive adjustments and build operations that adapt in real time.
In this tutorial, we build an advanced workflow using the SuperClaude Framework as a structured layer on top of the Anthropic API. The post Build a SuperClaude Framework Workflow w...
Agentic workflows are AI-driven processes where an AI agent plans, executes, evaluates, and adjusts a series of actions until it [...] Read More... The post What are agentic workfl...
Asynchronous processing pipelines are a cornerstone of modern distributed systems, but wiring them together reliably can be complex. A typical pipeline built with queues or message...
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