explaingit

anthropics/cwc-workshops

Analysis updated 2026-07-03 · repo last pushed 2026-06-26

1,279TypeScriptAudience · developerComplexity · 3/5ActiveSetup · moderate

TLDR

Hands-on training workshops from Anthropic that teach you to build, refine, and deploy AI agents using Claude through guided, step-by-step coding exercises.

Mindmap

mindmap
  root((repo))
    What it does
      Guided AI agent exercises
      Test-driven prompt development
      Builds real-world AI tools
    Use cases
      Log investigation dashboard
      Financial research memos
      AI game-playing agents
    Tech stack
      TypeScript
      Claude AI model
      Test-driven scoring
    Audience
      Developers
      Product managers
      Technical founders
    Concepts
      Multi-agent coordination
      Persistent agent memory
      Cost vs performance tuning
    Status
      Archived repository
      Not maintained
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What do people build with it?

USE CASE 1

Build a dashboard that helps engineers investigate incidents by searching through logs.

USE CASE 2

Break a large AI prompt into smaller coordinated pieces that work together.

USE CASE 3

Configure an AI agent to play a game while balancing performance and cost.

USE CASE 4

Build an AI that reads financial filings and writes a weekly research memo.

What is it built with?

TypeScriptClaude API

How does it compare?

anthropics/cwc-workshopsextend-hq/uibookorbit/bookorbit
Stars1,2791,2551,344
LanguageTypeScriptTypeScriptTypeScript
Last pushed2026-06-262026-07-032026-07-03
MaintenanceActiveActiveActive
Setup difficultymoderateeasymoderate
Complexity3/52/54/5
Audiencedeveloperpm foundergeneral

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires an Anthropic API key to run the Claude-based exercises, and the repo is archived with no ongoing maintenance or support.

No license information is provided in the repository materials.

In plain English

Anthropic's cwc-workshops repo is a collection of hands-on training materials from their "Code with Claude" workshops. It's a set of guided exercises that teach you how to build, refine, and deploy AI agents using Claude, Anthropic's AI model. Think of it as a workbook full of starter projects that walk you through building practical AI tools, step by step. The repo covers a wide range of real-world scenarios. For example, one workshop teaches you how to build a dashboard that helps a site reliability engineer investigate incidents by searching through massive log files to pinpoint the problematic code change. Another walks you through breaking a massive, unwieldy AI prompt into smaller, manageable pieces that work together. There's also a competitive exercise where you configure an AI agent to play a game and collect diamonds, balancing performance against the cost of running the AI. These materials are designed for developers, product managers, or technical founders who want to move beyond simple chatbot interactions and build autonomous AI systems. If you want an AI agent that can read financial filings and write a weekly research memo, or one that generates PowerPoint decks and grades its own work for quality, these workshops provide the blueprints. They emphasize a test-driven approach: instead of guessing whether a prompt change improved the AI, you score every iteration against a checklist to measure actual progress. A notable thread running through the workshops is the progression from simple to sophisticated. Several exercises start with a basic, bare-bones AI agent and then layer on advanced features like persistent memory (so the agent remembers things across sessions) or multi-agent coordination (where a "manager" AI delegates tasks to specialist AIs). The materials also cover practical concerns like choosing the right model settings to balance quality, speed, and cost. Note that this is an archived resource, the repo states it is not maintained and does not accept contributions.

Copy-paste prompts

Prompt 1
Using the cwc-workshops repo, walk me through the exercise for building an AI agent that searches through log files to find problematic code changes.
Prompt 2
How do I set up the multi-agent coordination exercise from cwc-workshops where a manager AI delegates tasks to specialist AIs?
Prompt 3
Show me how to use the test-driven scoring approach from cwc-workshops to evaluate whether my prompt changes actually improved my Claude AI agent.
Prompt 4
Guide me through the workshop exercise that breaks a massive AI prompt into smaller manageable pieces using TypeScript and the Claude API.

Frequently asked questions

What is cwc-workshops?

Hands-on training workshops from Anthropic that teach you to build, refine, and deploy AI agents using Claude through guided, step-by-step coding exercises.

What language is cwc-workshops written in?

Mainly TypeScript. The stack also includes TypeScript, Claude API.

Is cwc-workshops actively maintained?

Active — commit in last 30 days (last push 2026-06-26).

What license does cwc-workshops use?

No license information is provided in the repository materials.

How hard is cwc-workshops to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is cwc-workshops for?

Mainly developer.

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