How to Build a Reliable Failure-Handling Wrapper for AI Task CLI Tools

A developer on DEV Community has outlined a lightweight approach to making AI task runner CLIs more dependable before adding complex features like queues or dashboards. The core idea is to wrap any shell command in a small Node.js script that enforces a deadline, captures output, and writes a structured JSON record of the outcome. The wrapper distinguishes between four key outcomes — success, failure, timeout, and invalid usage — each mapped to a specific exit code and JSON fields. Written as a single ESM file using Node's built-in spawn API, it avoids shell parsing and keeps the last 2,000 characters of stdout and stderr for inspection. The author notes current limitations, including no process-tree cleanup and in-memory output buffering, and recommends containerisation and bounded log streaming for production use.