Workflows Articles
Browse 1221 articles about Workflows.
What Is the Claude Code Builder-Validator Chain? How to Build Quality Checks Into AI Workflows
The builder-validator chain uses one sub-agent to build and another to review, giving you automated quality checks without manual code review.
Run Multiple Claude Code Sessions in Parallel With Git Worktrees
Use the Claude Code -w flag to spin up isolated git worktrees and run several AI coding sessions in parallel — one per branch, with zero context bleed.
File-Based Signaling in Claude Code: Patterns for the Monitor Tool
Wire up the Claude Code monitor tool with file-based signals so background builds, tests, and watchers notify the agent on completion — no polling required.
What Is the Claude Code Operator Pattern? How to Run Multiple AI Agents in Parallel Terminals
The operator pattern lets you run multiple Claude Code sessions in isolated Git worktrees simultaneously, each with its own clean context window.
How to Save Tokens in Claude Code Using Opus Plan Mode
Using /model opus-plan in Claude Code switches to Opus for planning and Sonnet for execution, extending your session limit without sacrificing quality.
What Is the Claude Managed Agents Dashboard? How to Monitor Sessions, Environments, and Costs
Anthropic's Managed Agents dashboard gives you full visibility into agent sessions, token usage, environment permissions, and credential vaults.
What Is the Context Layer in AI? The Missing Step Between Basic Prompting and Agentic Workflows
Context is the most valuable asset on the internet. Learn how companies like Notion, Salesforce, and Snowflake own the context layer and why it matters.
What Is Cursor Remote Access? How to Control Your AI Coding Agent from Your Phone
Cursor now lets you run agents on your dev box and control them from anywhere, including your phone. Learn how to set it up and what it enables.
What Is the Gemini Notebooks Feature? How It Compares to Claude Projects and ChatGPT Memory
Gemini Notebooks organizes chats, files, and custom instructions in one space and syncs with NotebookLM. Here's how it stacks up against competitors.
LLM Wiki vs RAG: A Decision Framework for AI Knowledge Bases
Decide between an LLM Wiki and a RAG pipeline using accuracy, cost, and complexity. A side-by-side framework for picking the right knowledge architecture.
What Is the Middleware Trap in AI? Why Building on Models You Don't Own Is Risky
Most AI app builders are thin wrappers with no durable moat. Learn why the middleware trap is real and which structural layers are safe to build on.
How to Build a Transcript-to-ClickUp Agent With Anthropic Managed Agents
Learn how to build a sales call transcript processor that automatically creates ClickUp tasks using Anthropic Managed Agents and OAuth integrations.
Archon Explained: The Meta-Agent Framework for AI Coding Workflows
Archon is a meta-agent framework that orchestrates AI coding agents through YAML pipelines. Here's what a harness builder is and why teams are adopting one.
What Is GLM 5.1? The Open-Source Model That Matches GPT-5.4 on Coding
GLM 5.1 from ZAI is a 754B open-weight model under MIT license that rivals closed frontier models on SWE-bench. Here's what it can do.
Harness Engineering: Orchestrating AI Coding Agents
Harness engineering is the discipline of orchestrating multi-agent AI coding sessions into reliable pipelines. Here's how the practice is taking shape.
What Is the AI Learning Roadmap? Three Levels From Basic Prompting to Autonomous Agents
The AI learning roadmap has three levels: basic usage, context layer, and agentic systems. Learn why you must master the context layer before building agents.
Anthropic Managed Agents vs n8n vs Zapier: Which Should You Use?
Compare Anthropic Managed Agents, n8n, and Zapier for building AI automation workflows. See which platform fits your use case, skill level, and budget.
Beyond One-Shot Prompts: 5 Claude Code Workflow Patterns Explained
Anthropic's five Claude Code workflow patterns explained with real engineering tasks — schema migrations, test loops, and review chains where each pattern fits.
What Is Claude Code Headless Mode? How to Run AI Agents Without a Terminal
Claude Code headless mode uses the -p flag to run agents autonomously on a schedule. Learn how to set it up with cron jobs for fully automated workflows.
When to Use Split-and-Merge in Claude Code (vs. Sequential Chains)
A practical guide to choosing split-and-merge over sequential chains or agent teams in Claude Code, with orchestration patterns and merge strategies.