Show HN: Self-managing codebase with long-horizon agents (github.com)

A new demo has emerged demonstrating a self-managing codebase for a Next.js travel-planner app, powered by a long-horizon AI agent. This innovative approach alleviates the incessant maintenance tasks required in production environments, such as error triage, endpoint optimization, and library updates, all of which consume valuable developer time. The system employs an Anthropic Managed Agent that operates every 30 minutes, monitoring resources across Vercel and Sentry, filing tickets in Linear for new issues, and autonomously generating code and pull requests. The architecture includes multiple agents: a manager that executes ongoing development tasks, a reviewer that assesses PRs and escalates as necessary, and a retro agent that reviews daily activity. This setup not only automates basic maintenance but also features a self-learning capability, where the retro agent summarizes and suggests improvements based on 24-hour project activities. By significantly reducing the manual overhead of app management, this development presents a promising leap toward more efficient and autonomous software maintenance, encouraging broader experimentation and adaptation within the AI/ML community.