整理 | 华卫、核子可乐 刚刚，Anthropic 公司对外披露截止到 7 月 6 日的最新数据：其四个月前推出的 AI 编码助手 Claude Code 已吸引 11.5 万名开发者，且单周处理代码量达 1.95 亿行，堪称 AI 编码市场中增长最快的开 发者工具之一。不过，也有行业观察人士指出，在统计周期内处理的 1.95 亿行代码需谨慎解读，因 为单个代码变更在达到生产质量前可能经历多次迭代与修正。 Menlo Ventures 的投资人 Deedy Das 称，这一使用统计数据彰显出 Claude Code 巨大的商业潜 力。初步测算显示，按当前的用户采用模式，基于开发者每年为使用该服务支付约 1000 美元的假 设，该工具的年化收入预估约达 1.3 亿美元。也就是说， Claude Code 推出不过 4 个月就赚了 4300 万美元（合约人民币 3.08 亿元）。 "哪个初级工程师每年能赚 1300 万美元？这简直是 Soham 级别的生产力。"不少网友都对 Claude Code 的盈利能力表示惊叹。据了解，Claude Code 支持开发者通过自然语言指令执行编码任务，同 时无需手动选择上下文 ...

Core Principles of Agent Building - The industry emphasizes rethinking agent development from first principles, applying established software engineering practices to build reliable agents [11] - The industry highlights the importance of owning the control flow in agent design, allowing for flexibility in managing execution and business states [24][25] - The industry suggests that agents should be stateless, with state management handled externally to provide greater flexibility and control [47][49] Key Factors for Reliable Agents - The industry recognizes the ability of LLMs to convert natural language into JSON as a fundamental capability for building effective agents [13] - The industry suggests that direct tool use by agents can be harmful, advocating for a more structured approach using JSON and deterministic code [14][16] - The industry emphasizes the need to own and optimize prompts and context windows to ensure the quality and reliability of agent outputs [30][33] Practical Applications and Considerations - The industry promotes the use of small, focused "micro agents" within deterministic workflows to improve manageability and reliability [40] - The industry encourages integrating agents with various communication channels (email, Slack, Discord, SMS) to meet users where they are [39] - The industry advises focusing on the "hard AI parts" of agent development, such as prompt engineering and flow optimization, rather than relying on frameworks to abstract away complexity [52]

Hey, this is Lance from Langchain. You might have heard this term context engineering recently. It's a nice way to capture many of the different things that we do when we're building agents.Of course, agents need context. They need instructions. They need external knowledge.They also will use feedback from tool calls. Context engineering is just the art and science of filling the context window with just the right information at each step of the agent's trajectory. Now I want to talk about a few different s ...

The race for a handful of top software engineers masks a slump for everyone else https://t.co/7Ssj5yIYFJ ...

编辑｜冬梅 美国当地时间 6 月 26 日，Anthropic 刚刚升级了一项重要工具 A rtifacts ，让构建交互式 AI 工具变 得更加轻松。这项功能对于普通用户来说意义非凡，因为无需任何编程技能。 这标志着 Claude 聊天机器人正式向实用工具平台转型。 这家总部位于旧金山的人工智能公司去年 8 月首次发布了 Artifacts。该功能允许 Claude 用户创建小 型 AI 编程应用程序供自己使用。 自推出以来， 数百万用户已经创建了超过五亿个"作品" ——从生产力工具到教育游戏。如今， Anthropic 正在简化 Artifacts 的分享。同时，它也让使用该功能开发的应用程序更加强大。 据 Anthropic 团队成员介绍，最初，Artifacts 的功能是用来生成网站。 据 Anthropic 研发团队成员介绍，去年 3 月份的时候，他想看看最新的模型在生成网站方面有多厉 害。他一直以来的做法是把大模型生成的网站复制粘贴到编辑器里，然后保存文件，再在浏览器里打 开文件。但他注意到整个这样来回的过程特别花时间，所以希望它能直接在屏幕上渲染出来。于是这 位研发人员做了个很简陋的并排界面。 ...

Financial engineering that offers exposure to hot private companies meets a need, but the risks can be substantial, says Aaron Brown (via @opinion) https://t.co/YpTU36Gbhp ...

If you're wondering why your boss suddenly started talking about prompt engineering in meetings, you're witnessing the rise of AI literacy as a non-negotiable leadership skill. https://t.co/n4ID9o0fYU https://t.co/cWNzyJ1Rql ...

[Music] All right. So, prompt engineering is dead. And this is a bold statement, but I'm I'm saying that it never actually existed.And if you've ever done h prompt engineering, you probably know that it's kind of because you kind of try to ask the LLM to act nicely and do what you want to do, do what you wanted to do. And so uh this talk I'm going to walk you through a story of mine where I managed to improve our kind of sample chatbot that we have in our website. And I made it I made I it was possible for ...

No one is getting trained on this. I did a study last year and I just saw another study from HP and the numbers happen to be the same. 55% of the people who were surveyed and these were IT decision makers involved with AI applications at their companies.55% said we don't train anybody on any of this AI stuff yet. Like what. Like how in reality every single one of us needs to become a prompt engineer if we're really going to leverage AI.And yet how does that happen. Well, we have to be trained. Systems have ...

尽管其在人工智能/机器学习和应用市场仍处于早期阶段，但将基于人工智能的创新融入核心业务，叠 加客户将数据基础设施现代化作为执行其人工智能计划的必要步骤的优先级不断提高，已导致核心数据 仓库业务趋于稳定。与此同时，产品路线图的快速执行以及定价和打包方式的改变，已使数据工程的收 入运行率超过2亿美元。 智通财经APP获悉，摩根士丹利近日发布研报力挺Snowflake(SNOW.US)，称人工智能将为其核心业务 开辟长期增长路径，而公司向数据工程和人工智能领域市场拓展的动作，则为其在2030年前实现20%以 上的复合年增长率(CAGR)提供了途径。该行对该股进行首次覆盖，并给予增持评级，目标价为262美 元。 更精准的执行定位助力把握庞大机遇 在经历了数年增长大幅放缓以及投资者对其在人工智能/机器学习(A/M)领域定位的担忧后，Snowflake 的长期增长前景在首席执行官斯里达尔・拉马斯瓦米(2024年2月上任)的领导下已有所改善。 大摩写道，在他的任期内，Snowflake在销售、市场推广和产品工程等各个方面都成为了执行更高效的 组织，这使得产品收入增长率稳定在20%以上。此外，Snowflake在四大机遇领域 ...