📰 Dev.to · Batty

One architect, three engineers, one supervisor. Five AI coding agents built a chess engine in parallel. The results changed how I think about supervised AI agen

Batty, vibe-kanban, CrewAI, AutoGen, or raw tmux scripts? Each solves multi-agent coordination differently. Here's an honest comparison to help you pick the rig

When your AI agent breaks at 2am, you need to know what happened. Files give you that. Databases don't.

A complete guide to building a terminal-native supervisor for AI coding agent teams. Architecture, patterns, lessons, and comparisons.

Already using Claude Code or Codex? Here is how to progressively scale from one agent to a supervised team.

Running multiple AI agents sounds expensive. Here is the actual token math, cost reduction tactics, and when parallel agents save money vs waste it.

Batty, vibe-kanban, CrewAI, AutoGen, or raw tmux scripts? Honest comparison to help you pick the right orchestrator.

The first time I ran three AI agents on the same repo, they all edited the same file within seconds. Git worktrees solve this completely — and they've been in g

96% of developers distrust AI-generated code, but only 48% verify before committing. Here's a zero-cost fix: test gating. Run your test suite before accepting a

How I used Rust to build a daemon that orchestrates multiple AI coding agents in tmux — synchronous polling, Maildir inboxes, git worktrees, and the engineering