AI‑Driven Legacy Code Purges

Open‑source projects are starting to prune decades‑old drivers and modules after an influx of AI/LLM‑generated bug reports and automated fuzzing flags issues in code with few or no active users. Maintainers may choose removal rather than long‑term maintenance, producing large, measurable code deletions and changing how digital heritage and niche hardware compatibility are preserved. — This shifts software‑security and archival tradeoffs: AI accelerates detection of obscure flaws, forcing choices about deletion, preservation, and who bears maintenance costs for legacy infrastructure.