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概念

什么是 Agentic Engineering

也叫:Agent-driven Development、Autonomous Engineering

一种以智能代理(Agent)为核心执行SDLC的工程范式,人类负责目标与规则。

为什么现在值得关注?

最近变化

2026-05-30 · Salesforce 使用 Claude Code 实现 AI 驱动开发,将 231 人天的 API 迁移项目压缩至 13 天完成。

Agentic Engineering 被反复提及时,通常意味着它正在影响产品路线、开发者工作流或 AI 产业判断。这个页面把分散材料合并成一个可持续更新的观察入口。

📰 Agentic Engineering 最新动态

已收录 5 篇与「Agentic Engineering」相关的 AI 资讯和分析。

Salesforce 工程如何从 Copilot 走向 Agentic?

来自 Salesforce 的分享,讲述了工程团队如何从「工程师 + 更强 Copilot」,进化到把 SDLC 的执行层逐...

How Salesforce Engineering Evolved from Copilot to Agentic?

meng shao(@shao__meng)621 字 (约 3 分钟)
87

Salesforce's engineering team evolved from relying on Copilot to building an Agentic engineering system, using three key levers—tool convergence, rule-as-code, and autonomy—to delegate SDLC execution to Agents, achieving a 79% increase in PRs, 151% higher effective output, and completing a 231-person-day API migration in just 13 days.

入选理由:Salesforce 使用 Claude Code 实现 AI 驱动开发,将 231 人天的 API 迁移项目压缩至 13 天完成。

FeaturedTweet#Agentic#AI Engineering#SDLC#Claude Code#Salesforce中文
Simon Willison's Weblog 图标

Vibe coding and agentic engineering are getting closer than I'd like

Simon Willison's Weblog1824 字 (约 8 分钟)
87

The article explores the author's realization that the boundaries between 'vibe coding' and 'agentic engineering' are blurring with AI-assisted programming, raising concerns about code quality and responsibility.

入选理由:vibe coding适用于个人快速原型开发,但不适合生产环境。

FeaturedArticle#AI Programming#Software Engineering#Code Quality#Technical Ethics中文
From Vibe Coding to Spec-Driven Development

From Vibe Coding to Spec-Driven Development

Towards Data Science3189 字 (约 13 分钟)
85

This article explores the necessity and practical methods of transitioning from vibe coding to spec-driven development, emphasizing the advantages of the latter in team collaboration and project management.

入选理由:Vibe coding 适用于简单项目,但在大型项目中缺乏最佳实践和共享规范。

FeaturedArticle#Software Engineering#AI#Development Process英文
Andrej Karpathy: Software 3.0 is prompting, not coding

Andrej Karpathy: Software 3.0 is prompting, not coding

Sequoia Capital250 字 (约 1 分钟)
78

Andrej Karpathy提出Software 3.0范式:软件开发正从手写代码(S1.0)和机器学习建模(S2.0)转向以提示工程驱动智能体协作的新阶段,核心能力是设计提示、调试行为与编排AI工作流。

入选理由:Software 3.0 的本质是用提示(prompting)替代编码,开发者角色转变为AI系统架构师与行为调优者。

FeaturedVideo#AI#Software Engineering#Prompt Engineering#Agentic AI中英混合
The best way to learn AI is to build with agents.

To help with that, we've launched hands-on labs a...

The Best Way to Learn AI is to Build with Agents

elvis(@omarsar0)180 字 (约 1 分钟)
65

The best way to learn AI is by building with agents; hands-on labs and a new series on Agentic Engineering have been launched.

入选理由:实操实验室和《代理工程》系列课程已上线,涵盖Agent Skills等主题。

FeaturedTweet#AI#Agent#Engineering#Hands-on#Learning英文

与「Agentic Engineering」经常一起出现的 AI 术语。

💡 想追踪「Agentic Engineering」的长期趋势?去 实体雷达 · Agentic Engineering 查看详细分析和跨材料问答。

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