Kavli Affiliate: Huawei Zhang
| First 5 Authors: Huanting Wang, Huanting Wang, , ,
| Summary:
AI agentic programming is an emerging paradigm where large language model
(LLM)-based coding agents autonomously plan, execute, and interact with tools
such as compilers, debuggers, and version control systems. Unlike conventional
code generation, these agents decompose goals, coordinate multi-step processes,
and adapt based on feedback, reshaping software development practices. This
survey provides a timely review of the field, introducing a taxonomy of agent
behaviors and system architectures and examining relevant techniques for
planning, context management, tool integration, execution monitoring, and
benchmarking datasets. We highlight challenges of this fast-moving field and
discuss opportunities for building reliable, transparent, and collaborative
coding agents.
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