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DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines

122 upvotes · 18 JUL 2026 · Runming He, Zhen Hao Wong, Hao Liang et al.

This paper creates a platform to help large language models generate code for data pipelines, which can then be edited and used to automate data processing workflows. Practitioners might care about this because it can help reduce the time and cost of developing and maintaining these pipelines.

continual learningdata engineeringlanguage modelspipelinesworkflows