作者指出，自2025年12月以来，前沿AI模型和编码代理显著改变了软件开发方式。虽然仍需深入思考架构、产品决策等核心问题，但繁重的编码工作已被自动化取代。这种变革类似于历史上的印刷机、织布机等自动化革命，标志着软件工程正在回归其本质。

标题：软件工程王者归来

作者通过亲身实践发现，自2025年12月起，编程领域正经历一场深刻变革。作为同时使用前沿AI模型和编码代理的全栈开发者，他观察到：

1. 自动化编程革命

• 核心开发工作（架构设计、产品决策等）仍需人工深度思考
• 但机械性的代码编写工作已可完全交由AI完成
• 开发者角色转变为"建筑师"，而非"砌砖工人"

2. 框架泛滥的反思 作者犀利指出当前技术生态三大问题：

• 伪简化：开发者盲目套用框架，如同建筑师机械复制他人蓝图
• 真自动化：解决重复性工作（如ORM、CRUD）的合理需求
• 人力成本：企业通过框架标准化降低对高级工程师的依赖

3. 技术回归本质

• 基础工具（如Bash）展现惊人生命力
• 开发者可快速构建精准匹配需求的定制化工具
• 提倡用Makefile等简单工具解决99%的日常需求

4. 行业警示

• 过度依赖框架导致"隐形成本"：安全漏洞、设计局限、技术债
• 大厂框架实质是将开发者"降级"为操作员
• 呼吁重拾真正的工程思维：解决实际问题，而非臆想问题

核心观点：当AI解决了基础编码工作，软件工程终于回归本质——用最合适的工具解决真正重要的问题。这场静默的革命，正在重塑开发者的价值定位。

（注：原文约1500词，经提炼保留核心论证逻辑和关键论据，删除重复性举例和个人经历细节，压缩比例约70%）

评论内容总结

1. 对AI生成代码的担忧

• 观点：AI生成代码可能导致开发者失去对系统的深入理解，并隐藏潜在问题。
  • "So, no, with AI you are not building things which are yours. You might call them yours, but you lose deeper understanding of what you built." (Ronsenshi)
  • "LLM generated code is the ultimate abstraction. A mess of code with no trusted origin that nobody has ever understood." (lowsong)

2. 框架和库的价值

• 观点：框架和库提供了经过验证的解决方案，减少了错误和维护成本。
  • "Using a framework gives you some assurance that the underlying methods are well designed." (netrem)
  • "Frameworks are the reasons why AI can learn patterns and repeat, without frameworks you will be burning credits just to do things that been optimized already and completed." (falloutx)

3. AI对开发效率的提升

• 观点：AI可以加速开发过程，减少重复性工作，但需谨慎使用。
  • "It allows me to get to the point faster." (pech0rin)
  • "What’s gone is the tearing, exhausting manual labour of typing every single line of code." (apapkka)

4. 对框架和库的批评

• 观点：部分框架和库引入了不必要的复杂性，而AI可以帮助简化开发。
  • "eliminating all this framework cruft will be a boon for building great software." (pech0rin)
  • "Layers upon layers of abstractions that abstract nothing meaningful, that solve problems we shouldn’t have had in the first place." (lowsong)

5. AI与开发者角色的变化

• 观点：AI将改变开发者的角色，使其更关注高层次设计而非代码实现。
  • "The skill that’s actually becoming more valuable isn’t 'writing code from scratch' — it’s maintaining awareness of the ecosystem you’re building on." (matheus-rr)
  • "Without a significant development period of this... a freshman math major who isn’t spending most of their time with just a notebook or chalk board is probably getting in the way of their own progress." (jazzyb)

6. 对AI生成代码的信任问题

• 观点：AI生成的代码可能存在未被发现的错误，需谨慎验证。
  • "you really would want to maximize use of frameworks and libraries when using AI, as that large part of the AI reliability issues." (dathinab)
  • "Unless you are quite literally spending almost the same amount of time you’d spend yourself to deeply understand each component... nothing has changed when it comes to the dynamics of actually authoring systems." (voidhorse)

7. AI在特定领域的应用

• 观点：AI在嵌入式开发等领域表现优异，可替代部分库的使用。
  • "The degree to which LLMs can help with EE is extraordinary." (peteforde)
  • "Instead of a kitchen sink API, I/we/it created concise functions that map 1:1 to what I need them to do." (peteforde)

8. 对AI未来发展的展望

• 观点：AI未来可能进一步提升，但目前仍需依赖框架和库。
  • "At least for a little while until models improve to truly superhuman reasoning*, frameworks and libraries providing abstractions are more valuable than ever." (akiselev)
  • "If we get to a point, post-AGI, where we accept AGI writing fully custom code for everything... then we will have mostly lost control of the process." (HarHarVeryFunny)

总结

评论中观点多样，支持者认为AI能显著提升开发效率并简化流程，而反对者则担忧其可能导致开发者失去对代码的理解并引入潜在风险。框架和库的价值被广泛认可，但部分开发者认为AI可以帮助减少对它们的依赖。总体而言，AI在软件开发中的应用仍需谨慎平衡其优势与风险。