The Digital Press

A new Ruby gem called LLM Rescuer uses AI to fix errors caused by calling methods on nil values by guessing the intended result. This experimental project humorously embraces the unpredictability and cost of relying on large language models to handle runtime errors instead of traditional coding fixes.

Why it matters: It offers a novel, AI-driven approach to handle nil errors, potentially preventing crashes but at high cost and unpredictability.

The big picture: This highlights the ongoing challenge of null references in programming and the creative, if impractical, use of AI to patch legacy mistakes.

The stakes: Using AI for error handling risks unpredictable behavior, increased costs, and security concerns, making it unsuitable for production environments.

Commenters say: Users find the concept funny and innovative but caution against real-world use due to reliability, cost, and chaotic results.