Harness-of-Harness Research Targets Multi-Day Autonomous Coding
DAIR.AI post highlights paper on wrapping coding harnesses in an outer loop for continual multi-day runs.
DAIR.AI announced research on Harness-of-Harness, an outer loop that organizes existing coding-agent harnesses into repeated planning, coding, and testing cycles. The approach aims to support multi-day autonomous software development from high-level requirements without human intervention. Authors Haoyang Yan and colleagues from Shanghai AI Lab and SJTU describe the method in a paper titled Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement. The loop balances repair against capability gains during extended runs.
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Harness-of-Harness Research Targets Multi-Day Autonomous Coding
DAIR.AI post highlights paper on wrapping coding harnesses in an outer loop for continual multi-day runs.
