Claude Blog 采集 (2026-05-27)¶
共采集 5 篇文章
📋 文章索引¶
- How Anthropic teams use Claude Code - Jul 24, 2025 (评分: 9.5)
- How Anthropic's cybersecurity team built a threat detection platform with Claude Code - May 12, 2026 (评分: 9.0)
- How Anthropic's legal team cut review times from days to hours with Claude - Dec 08, 2025 (评分: 9.0)
- How Anthropic's Growth Marketing team cut ad creation time from 30 minutes to 30 seconds with Claude Code - Jan 26, 2026 (评分: 9.0)
- How Anthropic's finance team uses Claude to shape the narrative behind the numbers - May 22, 2026 (评分: 8.2)
How Anthropic teams use Claude Code¶
来源: Claude Blog 发布日期: Jul 24, 2025 采集时间: 2026-05-27 价值评分: 9.5/10 正文字数: ~8151 字符
摘要¶
Teams across Anthropic use Claude Code for everything from debugging production issues and navigating unfamiliar codebases to building custom automation tools. Here's how.
正文内容¶
Teams across Anthropic use Claude Code for everything from debugging production issues and navigating unfamiliar codebases to building custom automation tools. Here's how.
Agentic coding tools like Claude Code help developers accelerate workflows, automate repetitive tasks, and tackle complex programming projects. As the field evolves, we're learning about new applications everyday from users, including our own employees. To learn more, we sat down with employees across Anthropic to understand how they use Claude Code at work. While many of their use cases were predictable—debugging, navigating codebases, managing workflows—others surprised us. Lawyers built phone tree systems. Marketers generated hundreds of ad variations in seconds. Data scientists created complex visualizations without knowing JavaScript. The pattern became clear: agentic coding isn't just accelerating traditional development. It's dissolving the boundary between technical and non-technical work, turning anyone who can describe a problem into someone who can build a solution. Here’s what we learned. Codebase navigation and understanding Teams across the company use Claude Code to help new hires and even long-time employees get up to speed on our codebases. New data scientists on our Infrastructure team feed Claude Code their entire codebase to get productive quickly. Claude reads the codebase’s CLAUDE.md files, identifies relevant ones, explains data pipeline dependencies, and shows which upstream sources feed into dashboards, replacing traditional data catalog tools. Our Product Engineering team refers to Claude Code as their "first stop" for any programming task. They ask it to identify which files to examine for bug fixes, features, or analysis, eliminating the time-consuming process of manually gathering context before building new features. Testing and code review Agentic coding tools are particularly popular for their ability to automate two critical but tedious programming tasks: writing unit tests and reviewing code. The Product Design team uses Claude Code to write comprehensive tests for new features. They've automated Pull Request comments through GitHub Actions, with Claude handling formatting issues and test case refactoring automatically. The Security Engineering team transformed their workflow from "design doc → janky code → refactor → give up on tests" to asking Claude for pseudocode, guiding it through test-driven development, and checking in periodically. This results in more reliable, testable code. Agentic coding can also be used to translate tests into other programming languages. For instance, when the Inference team needs to test functionality in unfamiliar languages like Rust, they explain what they want to test and Claude writes the logic in the native language of the codebase. Debugging and troubleshooting Production issues demand quick resolution, but trying to reason about unfamiliar code under pressure often leads to delays. For many teams at the company, Claude Code accelerates diagnosis and fixes by analyzing stack traces, documentation, and system behavior in real-time. During incidents, the Security Engineering team feeds Claude Code stack traces and documentation to trace control flow through the codebase. Problems that typically take 10-15 minutes of manual scanning now resolve 3x as quickly. With Claude Code, the Product Engineering team gained confidence to tackle bugs in unfamiliar codebases. They ask Claude: "Can you fix this bug? This is the behavior I'm seeing" and review the proposed solution without needing to rely on other engineering teams for assistance. In one instance, when Kubernetes clusters stopped scheduling pods, the Data Infrastructure team used Claude Code to diagnose the issue. They fed it dashboard screenshots, and Claude guided them menu-by-menu through Google Cloud's UI until they found pod IP address exhaustion. Claude then provided the exact commands to create a new IP pool and add it to the cluster, saving them 20 minutes of valuable time during a system outage. Prototyping and feature development Building new features traditionally requires deep technical knowledge and significant time investment. Claude Code enables rapid prototyping and even full application development, letting teams validate ideas quickly regardless of their programming expertise. Members of the Product Design team would feed Figma design files to Claude Code and then set up autonomous loops where Claude Code writes the code for the new feature, runs tests, and iterates continuously. They give Claude abstract problems, let it work autonomously, then review solutions before final refinements. In one case, they had Claude build Vim key bindings for itself with minimal human review. With Claude Code, the Product Design team discovered an unexpected use: mapping out error states, logic flows, and system statuses to identify edge cases during design rather than discovering them in development. This fundamentally improves their initial design quality and saves them hours of debugging later on. Despite not being fluent in TypeScript, data scientists use Claude Code to build entire React applications for visualizing RL model performance. After one-shot prompting in a sandbox environment, the tool writes entire TypeScript visualizations from scratch without understanding the code themselves. Given the simplicity of the task, if the first prompt isn’t sufficient, they’ll make slight tweaks and try again. Documentation and knowledge management Technical documentation often sits scattered across wikis, code comments, and team members' heads. Claude Code consolidates this knowledge via MCP and CLAUDE.md files into accessible formats, making expertise available to everyone who needs it. Inference team members without ML backgrounds depend on Claude to explain model-specific functions. What normally requires an hour of Google searching now takes 10-20 minutes—an 80% reduction in research time. The Security Engineering team has Claude ingest multiple documentation sources to create markdown runbooks and troubleshooting guides. These condensed documents become context for debugging real production issues, which is often more efficient than searching through full knowledge bases. Automation and workflow optimization Agentic coding tools help teams build custom automation that would traditionally require dedicated developer resources or expensive software. The Growth Marketing team built an agentic workflow that processes CSV files with hundreds of ads, identifies underperformers, and generates new variations within strict character limits. Using two specialized sub-agents, the system generates hundreds of new ads in minutes instead of hours. They also developed a Figma plugin that identifies frames and programmatically generates up to 100 ad variations by swapping headlines and descriptions, reducing hours of copy-pasting to half a second per batch of ads. In a particularly unique use case, the Legal team created prototype "phone tree" systems to help team members connect with the right lawyer at Anthropic, demonstrating how departments can build custom tools without traditional development resources. Unlocking new possibilities with Claude Code These stories reveal a pattern: Claude Code works best when you focus on the human workflows that it can augment. The most successful teams treat Claude Code as a thought partner rather than a code generator. They explore possibilities, prototype rapidly, and share discoveries across technical and non-technical users. This collaborative approach between humans and AI creates opportunities we're only beginning to understand.
Anthropic’s guide to starting, scaling, and succeeding based on real-world examples and best practices
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采集自 Claude Blog，由 collect_claude_blog.py 自动采集
How Anthropic's cybersecurity team built a threat detection platform with Claude Code¶
来源: Claude Blog 发布日期: May 12, 2026 采集时间: 2026-05-27 价值评分: 9.0/10 正文字数: ~1822 字符
摘要¶
Jackie Bow, technical lead for Anthropic's Detection Platform Engineering team, shares how her team uses Claude Code to build tools that automate alert triage, accelerate investigations, and transform how security analysts work.
正文内容¶
Jackie Bow, technical lead for Anthropic's Detection Platform Engineering team, shares how her team uses Claude Code to build tools that automate alert triage, accelerate investigations, and transform how security analysts work.
For her entire career, Jackie Bow imagined tools that could tap into the context that actually matters—not just logs and alerts, but the Slack conversations, internal docs, and institutional knowledge that tell you whether something is a real threat or just noise—without needing humans to take the load of combing through the data manually. When she joined Anthropic, she finally got the chance to build them—with Claude as her collaborator. Jackie leads Anthropic's Detection Platform Engineering team, which focuses on defensive cybersecurity: detecting threats and responding to potential breaches rather than probing for vulnerabilities. The work involves monitoring systems for suspicious activity, triaging security alerts, and investigating anomalies before they become incidents. For a company building increasingly capable AI models, this work is foundational. Anthropic's Responsible Scaling Policy ties product releases directly to security commitments, meaning Bow's team helps determine what the company can safely ship. "I feel like it's the golden age of the security engineer," says Bow, who serves as Technical Lead for Anthropic's Detection Platform Engineering team. "I can finally build the tools I always wished I had."
Explore more product news and best practices for teams building with Claude.
Transform how your organization operates with Claude
Product updates, how-tos, community spotlights, and more. Delivered monthly to your inbox.
Please provide your email address if you'd like to receive our monthly developer newsletter. You can unsubscribe at any time.
采集自 Claude Blog，由 collect_claude_blog.py 自动采集
How Anthropic's legal team cut review times from days to hours with Claude¶
来源: Claude Blog 发布日期: Dec 08, 2025 采集时间: 2026-05-27 价值评分: 9.0/10 正文字数: ~1068 字符
摘要¶
Marketers spend hours creating ad variations and refreshing copy across platforms. Learn how Anthropic's growth team uses Claude Code to cut ad creation from 30 minutes to 30 seconds—no coding required.
正文内容¶
Mark Pike, Associate General Counsel, shares how our legal team uses Claude to build workflows that automate repetitive tasks like reviewing marketing content and redlining contracts—no coding required.
There's a comically anachronistic vintage payphone on Mark Pike's desk at Anthropic. Tap a "legal challenge coin" against it—yes, really—and it rings. An AI bot answers, figures out what you need, and routes you to the right attorney. Mark built it. He doesn't know how to code. "I wouldn't say what I'm doing is learning to code," says Mark, a product lawyer at Anthropic. "I partner with Claude to tackle certain projects that involve coding, but I am not the one coding. I'm just very good at troubleshooting."
Explore more product news and best practices for teams building with Claude.
Transform how your organization operates with Claude
Product updates, how-tos, community spotlights, and more. Delivered monthly to your inbox.
Please provide your email address if you'd like to receive our monthly developer newsletter. You can unsubscribe at any time.
采集自 Claude Blog，由 collect_claude_blog.py 自动采集
How Anthropic's Growth Marketing team cut ad creation time from 30 minutes to 30 seconds with Claude Code¶
来源: Claude Blog 发布日期: Jan 26, 2026 采集时间: 2026-05-27 价值评分: 9.0/10 正文字数: ~1571 字符
摘要¶
Marketers spend hours creating ad variations and refreshing copy across platforms. Learn how Anthropic's growth team uses Claude Code to cut ad creation from 30 minutes to 30 seconds—no coding required.
正文内容¶
Austin Lau, growth marketer at Anthropic, shares how he went from never having opened a terminal to building Figma plugins and automated ad generation workflows, without writing a single line of code.
Before Claude Code, Austin Lau had never written a line of code in his life. When the product first launched, he had to Google how to open a terminal on his computer. "My first reaction when we launched Claude Code was, I have zero idea what this product is for," says Austin, a growth marketer at Anthropic. "As a marketer, it just didn't really click—the use case wasn't obvious to me yet." But curiosity won out. An Anthropic colleague had posted a guide in the company’s Slack workspace on how to install Claude Code as a non-technical employee. Austin decided to follow its guidance. One week later, Austin had built two workflows that fundamentally changed how he works: a Figma plugin that generates ad creative variations with a single click, and a Google Ads copy workflow that helps him brainstorm and refine ad copy, then exports it to upload-ready CSV files. What used to take 30 minutes per ad now takes 30 seconds. Here's how he did it, and what marketers can learn from his experience using Claude Code.
Explore more product news and best practices for teams building with Claude.
Transform how your organization operates with Claude
Product updates, how-tos, community spotlights, and more. Delivered monthly to your inbox.
Please provide your email address if you'd like to receive our monthly developer newsletter. You can unsubscribe at any time.
采集自 Claude Blog，由 collect_claude_blog.py 自动采集
How Anthropic's finance team uses Claude to shape the narrative behind the numbers¶
来源: Claude Blog 发布日期: May 22, 2026 采集时间: 2026-05-27 价值评分: 8.2/10 正文字数: ~577 字符
摘要¶
Alice Fong, on the corporate finance and strategy team at Anthropic, shares how she uses Claude to maintain a single coherent financial narrative for the CFO and board, and free up 10 to 20 hours a week for higher-impact work.
正文内容¶
Alice Fong, on the corporate finance and strategy team at Anthropic, shares how she uses Claude to maintain a single coherent financial narrative for the CFO and board, and free up 10 to 20 hours a week for higher-impact work.
Explore more product news and best practices for teams building with Claude.
Transform how your organization operates with Claude
Product updates, how-tos, community spotlights, and more. Delivered monthly to your inbox.
Please provide your email address if you'd like to receive our monthly developer newsletter. You can unsubscribe at any time.
采集自 Claude Blog，由 collect_claude_blog.py 自动采集