Experimenting with GPT-Generated Filters

The author discusses their experimentation with GPT-generated filters using the custom, open-source syntax "simple-json-match" for Hookdeck connection filters. They found that GPT could write these filters faster than they ever could and developed a production-ready feature within 4 hours. By providing context through system prompts and sample data, the model's output quality dramatically increased. The author also highlights the importance of preventing accidents by parsing responses into JSON before returning them to clients. Overall, this experiment showcases the potential for AI-generated filters in building better developer products.