专家解读"AI 应用创业"产业链 20251211 摘要 Figma 等设计工具提供一站式解决方案，支持多人协作，而 Visual Studio Code 等 IDE 提供代码编写、调试、测试及部署的一体化环境， 加速软件开发流程。 BaaS 如 Firebase 和 Supabase 通过提供即插即用的后端服务，降低 了开发成本，减少了对后端程序员和运维人员的需求，但可能存在迁移 困难和定制化受限的问题。 自定义后端框架允许完全控制系统，适用于复杂应用，但开发速度较慢， 安全性需自行维护，扩容需手动操作。全栈式框架适合小型项目，不利 于合作开发。 微服务架构将服务拆分为独立部分，便于更新和扩容，尤其适用于 AI 应 用，支持多语言、多框架合作，但需考虑性能、可扩展性、灵活性、成 本和安全性等指标。 Firebase 作为 BaaS，使用简单，与 Google Cloud 生态系统同步，但 数据库仅支持文档式存储，不适合实时更新应用，且流量增加会导致成 本迅速上升。 Q&A AI 在软件开发中的作用和影响是什么？ 目前，大语言模型的发展显著降低了软件开发的门槛，使得个人创意能够更容 易地转化为实际的应用程序。 ...

Core Insights - The article discusses the limitations of existing AI coding tools like Copilot and Tabnine, which primarily focus on local code generation and lack comprehensive support for overall development process optimization [1][2] - The introduction of Baidu's Wenxin Kuai Ma (文心快码) is highlighted, showcasing its capability to manage the entire development pipeline rather than just providing code snippets [3][4] Group 1: Tool Comparison - Existing tools are described as advanced code suggestion tools that struggle with larger tasks such as refactoring or streamlining deployment processes [1][2] - Wenxin Kuai Ma's Zulu intelligent agent offers a more systematic workspace, moving beyond simple chat interfaces to a structured approach for project management [4] Group 2: Project Implementation - The company tested Zulu on a real internal project, which involved a Python Flask backend with issues like high coupling and low test coverage [3][5] - Zulu's approach included guiding the user through requirement analysis, identifying key issues, and proposing a structured refactoring plan that included clear steps and generated code snippets [5] Group 3: Efficiency Gains - The article emphasizes the significant efficiency improvements provided by Zulu, allowing users to focus on core business logic rather than the organization of code and scaffolding [5]