Four ways running several AI agents goes wrong, and how wdx fixes each
Lost terminal tabs, colliding git checkouts, silently blocked agents waiting on prompts, and mystery diffs. Here is how wdx fixes the four classic multi-agent failure modes.
agents
5 posts with the tag “agents”
A tour of TIDE, the terminal IDE for AI agents
Running multiple AI coding agents from raw terminal tabs quickly turns into a blind juggling act. TIDE pulls your agent fleet, worktree diffs, code, docs, and plans into one terminal window with zero context switching.
From one agent to five: what changed in my day
Before wdx: one AI CLI and a row of terminal tabs I lost track of. After: named agents, children under parents, several AI CLIs at once, all on one screen.
Plans: split a feature into tasks and let agents run them
Asking an AI agent to build a multi-file feature in one prompt leads to hallucinations and lost context. wdx breaks it into a DAG of small tasks that agents run in parallel.
I built wdx with wdx: a team of AI agents wrote most of its code
How wdx is developed by the agents it runs: designs approved first, then plans, child agents and worktrees, with a person landing every change.