Who's reading the code your AI writes?

Thoughtbot's recent blog post “Who’s reading the code your AI writes?” highlights that AI can boost developer productivity by at least 30% on new code and 10% on legacy code, while simultaneously increasing the risk of shipping bugs, security flaws, and data leaks unnoticed. For website owners, this dual‑edge means that any AI‑generated components integrated into their sites—such as auto‑completed JavaScript widgets, CMS plugins, or API wrappers—may arrive faster but could embed hidden vulnerabilities that scanners miss. Since these flaws often surface only after deployment, owners must treat AI‑produced code as a new attack surface, especially on high‑traffic pages where bot traffic can amplify exploitation attempts. **Actionable tips:** 1. **Add AI‑generated scripts to your llms.txt** with a distinct “User‑Agent” tag (e.g., `User-Agent: Thoughtbot‑AI‑Bot`) and set `Disallow` rules for sensitive endpoints, ensuring you can monitor and block any rogue AI crawlers that might exploit the same code patterns. 2. **Deploy a dedicated bot‑traffic monitor** that flags spikes in requests originating from the AI‑bot user‑agents identified in your llms.txt, allowing you to investigate potential malicious behavior promptly. 3. **Integrate automated static analysis** into your CI pipeline for all AI‑assisted code commits, and feed the resulting security reports into your bot‑detection dashboard to correlate code changes with anomalous traffic patterns.