AI Agents Freeze on Slow APIs? Fix MCP Timeouts with Async HandleId
Discover how the async handleId pattern transforms frozen AI workflows into responsive systems by returning immediate job IDs instead of waiting for slow external APIs.
Discover how the async handleId pattern transforms frozen AI workflows into responsive systems by returning immediate job IDs instead of waiting for slow external APIs.
A new open-source solution introduces a four-agent adversarial review system that lets AI coding agents critique each other’s work programmatically. Built on heym and exposed as an MCP server, it provides structured second opinions for autonomous code generation workflows.
Cloudflare Containers and the Naftiko Framework make it possible to spin up a fully functional MCP server in just two minutes—no local setup required. Here’s how to go from zero to a live endpoint your AI tools can use immediately.
An engineer built a JSON-first Jira CLI for AI agents, sparking a debate over whether traditional command-line tools or MCP servers better serve modern workflows. Here’s what the team learned—and which approach they’re keeping.