Agentic coding 标志着代码开发模式的根本性变革。与传统AI编程助手仅能提供代码片段建议不同，具备智能体特性的工具能够独立执行指令、操作文件、运行测试并与其他应用程序交互，通常仅需极少的人工干预。实质上，智能体式编程在大语言模型（LLM）之上构建了一个持久运行的编排层，能够感知开发者的环境与工具链。换言之，此类编程助手已超越了代码补全功能，能够代表开发者在其开发环境中自主执行多步骤任务。
本市场报告的研究课题聚焦于2025年全球Agentic Coding（代理式编程）市场演进与应用研究，旨在系统梳理当前Agentic Coding 的主流玩家以及产品发展路径，重点关注其在关键行业中的产品能力、实际部署成效、平台生态能力及未来发展潜力，研究周期为 2025年。
Agentic Coding marks a fundamental transformation in the software development paradigm. Unlike traditional AI programming assistants that only provide code snippet suggestions, agent-enabled tools can independently execute instructions, manipulate files, run tests, and interact with other applications, typically requiring minimal human intervention.
In essence, Agentic Coding builds a persistently running orchestration layer on top of Large Language Models (LLMs), capable of perceiving developers’ environments and toolchains. In other words, such programming assistants have gone beyond code completion functions and can autonomously execute multi-step tasks within the development environment on behalf of developers.
This market report focuses on the evolution and application research of the global Agentic Coding market in 2025. It aims to systematically sort out the mainstream market players and product development paths of Agentic Coding, with a focus on product capabilities, practical deployment results, platform ecosystem competence and future growth potential across key industries. The research period covers the full year of 2025.
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沙利文 李先生
E-mail: livia.li@frostchina.com
