Tag
#coding agents
Every AuricIDE article on coding agents: agent orchestration, machine-checkable goals, and the mechanisms behind them.
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AI Pair Programmer: How It Actually Works
Discover what an AI pair programmer really does, how sessions survive a closed terminal, and where the real limits show up.
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Multi Agent Coordination Is an Attention Problem
Multi agent coordination is not about running more agents at once. Learn how AuricIDE's Fleet attention rule and sequential chains solve it.
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AI Code Agent Chains: Why Exit Code 0 Is Not Enough
Learn how AuricIDE tracks AI code agent success beyond exit codes, using chains with cleaned terminal tails to prevent cascading failures.
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AI Development Agents: Why the Config Layer Matters Most
AI development agents depend less on the model and more on the config and permission layer around it. See how dynamic provider configs actually work.
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How to Create an AI Agent That Actually Ships
Learn how to create an AI agent that goes from a single CLI tool to a coordinated fleet, with practical steps for architecture, skills, and state.
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AI Agent Access Control in AuricIDE
Learn how AI agent access control works in AuricIDE. Discover permission modes, MCP enforcement, and practical strategies for securing local coding agent
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AI Agent vs LLM: When to Use Each for Engineering Workflows
AI agent vs LLM explained for engineers. Learn the architectural differences, when multi-step orchestration pays off, and how to choose the right approach.
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AI Agent Orchestration Framework: What It Actually Has to Solve
A second agent does not double the work, it changes it. What an orchestrator has to control, and when a shell script is still the better answer.
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What Is Agentic Coding and How Does It Actually Work
Learn what is agentic coding, how it differs from autocomplete, and how multi-agent orchestration works in practice through concrete examples.
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AI Agent Workflow: Build Reliable Coding Fleets
Build reliable AI agent workflows for coding fleets. Learn handoff patterns and orchestration strategies that prevent duplicated work.
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AI Agent Integration in Your Dev Workspace
Learn AI agent integration for developer workspaces: register CLIs, build skills, chain steps, share state over MCP, and debug locally.
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How to Build an MCP Server
Learn how to build an MCP server that coding agents will actually use, from protocol design and tool schemas to registration, testing, and deployment.