Three Infrastructure Tools Just Shipped to Fix Agent Development

Three tools just dropped that solve real pain points in agent development workflows. Each targets a specific gap where the existing solutions were either broken or missing entirely.

MCPorter: Making MCP Actually Work

MCPorter is what Anthropic's Model Context Protocol should have shipped with. While MCP promises seamless tool integration, the reality is a mess of configuration files and manual discovery. MCPorter fixes this with zero-config server discovery, one-command CLI generation, and typed clients for TypeScript.

Instead of hunting through documentation to connect MCP servers, MCPorter automatically discovers configured servers from popular AI tools and generates everything you need to start composing automations.

dmux: Parallel AI Agents That Don't Step on Each Other

dmux solves the coordination problem when running multiple AI coding agents. Using isolated git worktrees and tmux sessions, different agents can work on separate branches simultaneously without conflicts. Branch, develop, merge—all organized automatically.

This matters because most multi-agent setups break when agents try to modify the same codebase. dmux gives each agent its own workspace while keeping everything connected to your main repository.

Safe Solana Builder: Security-First Smart Contracts

Safe Solana Builder generates production-grade Solana programs with built-in vulnerability protection. This Claude skill loads security knowledge directly into context, generating complete project scaffolds with security checklists and pre-identified edge cases.

Unlike generic code generation, this specifically targets Solana's unique attack vectors and generates audit-ready code for both Anchor and Native Rust frameworks.

Each tool addresses infrastructure gaps that were slowing down agent development. The vibecoding community is building the middleware layer that AI platforms forgot to ship.