The following are my condensed notes on an article that Anthropic released titled How Anthropic Teams use Claude Code. It will not cover the entire article, just the points that are relevant to me / my workflows.
Teams Relevant to Me:
- Data Infrastructure, (Career)
- Product Development, (Career/Personal Projects)
- Inference
- Data Science & Visualization, (Career/Personal Projects)
- Product Design, (Personal Projects)
Claude Code for Data Infrastructure
Main use Cases:
- Kubernetes debugging with screenshots
- Codebase navigation for new hires
- End-of-session documentation updates
Best Practices:
- Write detailed Claude.md files
- Share team usage sessions
Claude Code for Product Development
Main Use Cases:
- Fast prototyping with auto-accept mode
- Start with giving a brief overview of the ticket to CC and then rapidly iterate off of it after getting down some boilerplate code down that CC creates.
- Test generation and bug fixes
- Codebase exploration with Claude Code
Best Practices:
- Create self-sufficient loops
- Ensure CC is setup to verify its own work by running builds tests, and lints automatically. This should be setup across many different CC.md files.
- Develop task classification intuition
- Learn to distinguish between tasks that work well asynchronously (peripheral features, prototyping) versus those needing synchronous supervision (core business logic, critical fixes)
Claude Code for Data Science & Visualization
Main Use Cases:
- Building JavaScript/TypeScript dashboard apps
- Very easy for Claude to prototype this sort of information.
- Creating persistent analytics tools instead of throwaway notebooks
- Instead of building one-off Jupyter notebooks that get discarded, the team now has Claude build permanent React dashboards that can be reused across future model evaluations
Claude Code for Product Design
Main Use Cases:
- Rapid interactive prototyping
- By pasting mockup images into Claude Code, they generate fully functional prototypes that engineers can immediately understand and iterate on, replacing the traditional cycle of static Figma designs that required extensive explanation and translation to working code.
Best Practices:
- Use custom memory files to guide Claude’s behavior
- Create specific instructions telling Claude you’re a designer with little coding experience who needs detailed explanations and smaller, incremental changes, dramatically improving the quality of Claude’s responses and making it less intimidating.
Takeaways
I actually think there’s a good amount of takeaways that will be directly impactful for the workflows that I use every single day. The main ones I can think of is using Claude Code for navigating code bases, using Claude Code for documentation purposes, and using Claude Code code to rapidly iterate on abstract areas. For implementing the development ones, check out Synthesized Development Workflows for using Claude Code Effectively
Linked Map of Contexts