AuricIDE / Blog
Blog
Notes from building AuricIDE: agent orchestration, machine-checkable goals, and systems for supervising coding agents.
-
How Much Does an AI Agent Cost: The Real Structure of Spend
How much does an AI agent cost? Skip the outdated price lists. Learn the actual structure of agent spend, from token loops to orchestration overhead.
-
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
-
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.
-
AI Agent Monitoring: Why Exit Codes Aren't Enough
Each monitoring signal proves less than its label implies. What process state, exit codes and the repository diff can each tell you, and what none of them can.
-
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.
-
AI Agent Testing: Assert Behavior, Not Wording
A red agent test can point at the check rather than the agent. What to assert instead: exit codes, stored project state, and where a chain stops.
-
MCP Server Setup: Why a Running Server Proves Nothing
A running MCP server only proves the launch worked. How to write the launch entry, why a wrong database path still lists every tool, and the test that catches i
-
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.
-
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.
-
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.
-
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.
-
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.