Related papers: A Phased Workflow for Operating LLM-Based Coding Agents

A Phased Workflow for Operating LLM-Based Coding Agents

URL: http://arxiv.org/abs/2608.30701v1
Date: Mon, 31 Aug 2026 12:39:26 GMT
Title: A Phased Workflow for Operating LLM-Based Coding Agents
Abstract summary: We report on a phased workflow for operating coding agents developed by the AI research team at Infobip.<n> Context management is the central concern, addressed through four strategies applied at each phase to counter known failure modes.<n>We identify two open problems: the absence of metrics for workflow effectiveness and the gap between formalized context management components and the workflow-level patterns that practitioners need.
Score: 0.7874708385247353
License: http://creativecommons.org/licenses/by/4.0/
Abstract: LLM-based coding agents combine a foundation model with a harness that shapes agent behavior. For non-trivial tasks, how practitioners structure their work with the coding agents determines whether reliable results follow. We report on a phased workflow for operating coding agents developed by the AI research team at Infobip. The workflow structures agent-assisted development into four phases where human effort is front-loaded and delegation increases as artifacts mature. Context management is the central concern, addressed through four strategies applied at each phase to counter known failure modes. From practitioner experience, we observe that upstream errors in research and planning can compound across later phases, while correcting generated code can introduce bloat and fragility. This motivates front-loading human review. We identify two open problems: the absence of metrics for workflow effectiveness and the gap between formalized context management components and the workflow-level patterns that practitioners need.

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