LivePlan: Real-Time Monitoring and Correction for Programming Agents

LivePlan, a newly developed system, seeks to enhance the efficiency and dependability of programming agents tasked with resolving GitHub issues in extensive projects. The research, accessible on arXiv (ID 2608.06701), tackles the difficulties associated with long-horizon tasks, particularly when fixes necessitate modifications in multiple areas or when the issue description is insufficiently detailed. Often, these agents deviate from their original plans, repeat unsuccessful actions, or cease operation without producing a viable patch. LivePlan separates the roles of judging and advising: a deterministic, rule-based monitor assesses general signals throughout the process to identify issues without relying on a large language model (LLM), consulting the advisor LLM only upon detection of a problem for high-level corrective steps. This approach circumvents the misleading re-planning and expensive interventions seen in previous methods. Built on SWE-agent, the system is evaluated against standard benchmarks and proposes real-time monitoring, detection, and correction of behavioral inefficiencies, providing a more effective and reliable solution for automated software development.