Three Agent Infrastructure Tools Just Shipped

While everyone's building flashy AI demos, three new tools quietly shipped the infrastructure layer that actually makes agents work in production.

CC Workflow Studio: Visual Agent Orchestration

Building multi-agent systems usually means wrestling with YAML configs or writing orchestration code from scratch. CC Workflow Studio brings drag-and-drop workflow design directly into VSCode, letting you visually wire up agent interactions and export working code.

The extension supports natural language editing through Claude Code, GitHub Copilot, and Cursor — describe what you want, and it updates the visual workflow automatically. 4,600+ GitHub stars in its first month suggests developers were desperate for this.

Hodoscope: Agent Behavior Analytics

Agent debugging has been pure guesswork until now. Hodoscope provides trajectory visualization for AI agents — think Google Analytics for agent behavior. It uses unsupervised learning to surface patterns across thousands of agent actions, helping you spot where your agents go off the rails.

Crucial for anyone running agents at scale who needs to understand why they make specific decisions.

MCPorter: TypeScript for MCP

The Model Context Protocol promised to make agent tool integration seamless, but the developer experience was still rough. MCPorter auto-discovers MCP servers from your AI tools and generates typed TypeScript clients with zero config.

It's the missing piece that makes MCP actually usable for production applications instead of just demos.

Each tool solves a specific friction point in the agent development stack. Not sexy, but essential for anyone building beyond prototypes.