Show HN: ProofLoop – Autonomous long-running agents with verifiable completion (github.com)

ProofLoop, a new AI agent orchestrator, has been introduced to address the inefficiencies of managing long-running coding tasks that typically require constant human oversight. By allowing users to define specific success criteria and completion goals, ProofLoop empowers agents to operate autonomously, working from a well-structured plan that includes automated verification at each step. This significantly reduces the manual verification efforts and context loss commonly encountered in lengthy projects. For the AI/ML community, ProofLoop represents a notable advancement in automation, enabling agents to handle complex programming tasks without continuous human intervention. Its automated checks, iteration management, and independent verification processes mean that developers can launch tasks overnight and return to fully completed results. This innovation not only streamlines development workflows but also enhances productivity and supports more intricate tasks, such as migrating architectures or implementing new features, all while maintaining quality assurance through rigorous condition checks.