ClawSweeper: AI 기반 오픈소스 이슈 자동 관리 봇

ClawSweeper demonstrates how AI can meaningfully support open source maintenance without replacing human judgment—by automatically triaging 13,000+ stalled issues and PRs with a conservative approach that flags only cases where closure is clearly justified. The bot's 0.1% error rate and selective 33.7% closure recommendation rate showcase that effective automation requires clear boundaries between what systems decide and what they delegate to maintainers. This project exemplifies why thoughtful automation design and human oversight matter more than raw technical sophistication in scaling open source operations.