shinpr/claude-code-workflows
662 stars · Last commit 2026-07-31
Production-ready development workflows for Claude Code, powered by specialized AI agents.
README preview
# Claude Code Development Workflows [](https://claude.ai/code) [](https://github.com/shinpr/claude-code-workflows) [](https://opensource.org/licenses/MIT) [](https://github.com/shinpr/claude-code-workflows/pulls) Repeatable software development workflows for Claude Code that keep design decisions traceable through implementation, tests, and review. Each phase runs in a fresh agent context and hands off through explicit artifacts. The workflow inspects the existing codebase, designs the smallest sufficient change, pauses for approval, implements one task at a time, and checks whether the finished work still matches the agreed scope and requirements. Use the end-to-end recipes for production changes that span files, layers, or contributors, where a long AI coding session can quietly grow in scope or lose an important decision between design and implementation. Focused recipes let you stop after design, continue from approved artifacts, review an implementation, or investigate a problem without changing the code. --- ## Why use a development workflow? Claude Code can complete an individual coding task well. The harder problem is keeping a larger change coherent after the first answer. Suppose analysis finds that an existing authentication path should be extended. Halfway through implementation, a new abstraction looks convenient, the response contract changes with it, and the frontend adapts to the new shape. Every local edit may look reasonable and every test may pass, while the result no longer matches the design that the team agreed on.