ARTFEED — Contemporary Art Intelligence

Runtime-Structured Task Decomposition for Agentic Coding Systems

other · 2026-05-18

A recent paper on arXiv introduces a method for runtime-structured task decomposition in agentic coding systems. This technique organizes task division and execution pathways through executable control logic instead of relying on single, large prompts. In this framework, LLMs are utilized solely for specific judgment tasks, with outputs being checked against established schemas. The study assesses this method against two software engineering tasks, contrasting it with monolithic execution and static decomposition approaches. The full paper can be found at arXiv:2605.15425.

Key facts

  • arXiv paper 2605.15425 proposes runtime-structured task decomposition
  • Approach uses executable control logic instead of monolithic prompts
  • LLMs are used only for focused judgment tasks
  • Outputs validated against predefined schemas before downstream execution
  • Evaluated on two software engineering workloads
  • Three configurations compared: monolithic, static decomposition, runtime-structured
  • Addresses brittle behavior, limited debuggability, and high retry costs
  • Published on arXiv

Entities

Institutions

  • arXiv

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