Multi-Agent Articles
Browse 597 articles about Multi-Agent.
What Is the Harness Maintenance Checklist? 5 Questions to Ask Before Every Model Update
Before updating your AI agent's model, audit what it reads, what it can touch, what its job is, what proof it provides, and whether it still delivers value.
AI Agent Harness Maintenance: Why Agents Break When Models Get Better
Agents can fail not because the model degraded but because it improved. Learn why harness maintenance is the most underrated skill in agentic AI development.
How to Use Claude Code /goal and Auto Mode Together for Fully Autonomous Workflows
Combine Claude Code's Auto Mode and /goal command to run tasks end-to-end without approvals or early stops. Here's the setup and when to use it.
Claude Code Ultra Code Mode Explained: When to Use /effort Max vs Dynamic Workflows
Ultra Code spawns parallel sub-agents for massive tasks while /effort max deepens single-agent reasoning. Learn which to use and when for best results.
How to Build an Expert AI Coding Workflow: Skills, Automations, Loops, and Cloud Agents
Top agentic coders use skills, automations, loops, and cloud agents to ship code 24/7. Here's the full workflow from beginner prompting to expert automation.
How to Use a Multi-Model AI Coding Workflow: Fable for Planning, Composer for Execution, GPT for Review
Using different models for planning, implementation, and review cuts costs and speeds up delivery. Here's how to build a multi-model skill in Claude Code.
What Is Sub-Quadratic Sparse Attention? How SubQ's SSA Architecture Changes Long-Context AI
SubQ's sub-quadratic sparse attention reduces compute by 1,000x at 12M tokens, enabling agents to process entire codebases and document sets in one shot.
AI Agent Harness Maintenance: Why Your Wrapper Breaks When the Model Gets Better
Agents break when models improve, not just when they fail. Learn the four principles of harness maintenance that keep AI workflows reliable over time.
Cross-Vendor AI Agent Review: Why Claude Should Review Codex's Code and Vice Versa
Using different AI models to review each other's work reduces internal bias and catches more bugs. Learn how to set up cross-vendor review in your workflows.
What Is a Knowledge Graph for AI Agents? How Relationship Mapping Beats Wiki Links
Knowledge graphs store typed relationships between entities, not just backlinks. Learn when they outperform LLM wikis for AI agent memory and retrieval.
What Is Loop Engineering? The New Meta for Autonomous AI Agent Workflows
Loop engineering uses /loop, /goal, and /routines to run AI agents continuously without manual prompting. Here's what it is and when to use it.
What Is the OmniAgent Meta Harness? How to Orchestrate Claude, Codex, and Local Models Together
OmniAgent is Databricks' open-source meta harness that runs Claude, Codex, and local models under one roof with shared sessions and cross-vendor review.
How to Use OmniAgent to Orchestrate Claude and Codex in One Workflow
Learn how to use OmniAgent's Polly orchestrator to delegate implementation to Claude and code review to Codex in a single automated pipeline.
What Is OmniAgent? The Open-Source Meta Harness for AI Agent Orchestration
OmniAgent is Databricks' open-source meta harness that lets you run Claude, Codex, and custom agents under one roof with shared sessions and policies.
How to Build a Model-Agnostic AI Agent Stack That Survives Platform Disruptions
When Claude Fable 5 went offline overnight, workflows broke. Here's how to build portable AI agent systems that survive model bans and outages.
What Is a Meta Harness for AI Agents? How OmniAgent Orchestrates Claude, Codex, and More
A meta harness sits above individual AI coding agents to orchestrate them together. Learn how OmniAgent unifies Claude Code, Codex, and Pi in one session.
How to Build an AI Workflow That Survives Government Model Bans
The Claude Fable 5 shutdown showed how fragile single-model workflows are. Here's how to build portable, model-agnostic AI systems that keep running.
What Is OpenRouter Fusion? The Multi-Model API That Matches Claude Fable 5 at Half the Cost
OpenRouter Fusion fans prompts across multiple models, synthesizes results, and achieves near-Fable 5 performance at half the price. Here's how it works.
How to Build an AI Workflow That Survives Model Access Disruptions
When Claude Fable 5 went offline overnight, many workflows broke. Here's how to build portable, resilient AI agent stacks that survive sudden model bans.
How to Use Claude Code Ultra Code Mode for Deep Research and Complex Tasks
Ultra Code spawns parallel sub-agents using fan-out, adversarial verification, and tournament patterns. Learn when to use it and how to control token costs.