arXiv:2606.17099v1 Announce Type: cross Abstract: AI coding agents increasingly accept assigned software tasks, modify repositories under bounded authority, and return work packages for review. Prior work proposed the software delegation contract, covering the task, authority, returned work package, and acceptance context, as the unit of analysis for delegated coding work, but did not measure its effects. This paper reports a controlled pilot study of explicit delegation contracts for coding agents. We built a dependency-free TypeScript API task environment with seeded defects and documentatio
The proliferation of AI coding agents necessitates formalizing their integration into software development workflows, leading to research on how to effectively manage and review their outputs.
This research provides a framework for integrating AI agents into strategic software development, addressing quality control and accountability, which is crucial for enterprises adopting AI-driven coding.
The explicit definition and measurement of 'software delegation contracts' for AI coding agents introduce a structured approach for managing autonomous coding, shifting from ad-hoc integration to systematic reviewability.
- · Software Development Teams
- · AI Agent Developers
- · Enterprises Adopting AI
- · DevOps Tooling Vendors
- · Unstructured Software Development Processes
- · Companies Resistant to AI Integration
Companies will develop clearer protocols and tools for managing and reviewing code generated by AI agents.
Increased trust and adoption of AI coding agents will lead to accelerated software development cycles and reduced human coding effort for certain tasks.
The concept of 'delegation contracts' could expand beyond coding to other white-collar tasks, formalizing agentic workflows across various industries.
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