Tag
#mcp
Every AuricIDE article on mcp: agent orchestration, machine-checkable goals, and the mechanisms behind them.
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Requirements Traceability: Beyond the Paper Trail
Discover how requirements traceability moves from stale documentation to active database links that gate project goals and verify actual delivery.
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Agentic IDE Architecture and Fleet Control
Discover how an agentic IDE orchestrates CLI coding agents as a fleet. Learn process state tracking, attention metrics, and AuricIDE architecture.
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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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Local AI Agents: What Changes Under the Hood
Discover what local AI agents actually change under the hood, from PTY processes to SQLite-backed shared state and concurrency tradeoffs you can feel.
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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 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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LLM Orchestration Tools: A Practical Guide to Agent Fleets
Compare LLM orchestration tools by what they actually do: task loops, agent fleets, state sharing, and skills. Pick the right category for your setup.