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* docs: radical reduction of documentation scope for v6 beta Archive and basement unreviewed content to ship a focused, minimal doc set. Changes: - Archive stale how-to workflow guides (will rewrite for v6) - Archive outdated explanation and reference content - Move unreviewed content to basement for later review - Reorganize TEA docs into dedicated /tea/ section - Add workflow-map visual reference page - Simplify getting-started tutorial and sidebar navigation - Add explanation pages: brainstorming, adversarial-review, party-mode, quick-flow, advanced-elicitation - Fix base URL handling for subdirectory deployments (GitHub Pages forks) The goal is a minimal, accurate doc set for beta rather than comprehensive but potentially misleading content. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * refactor: restructure BMM and agents documentation by consolidating and flattening index files. --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
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title, description
| title | description |
|---|---|
| How to Make Quick Fixes in Brownfield Projects | How to make quick fixes and ad-hoc changes in brownfield projects |
Use the DEV agent directly for bug fixes, refactorings, or small targeted changes that don't require the full BMad method or Quick Flow.
When to Use This
- Bug fixes
- Small refactorings
- Targeted code improvements
- Learning about your codebase
- One-off changes that don't need planning
Steps
1. Load an Agent
For quick fixes, you can use:
- DEV agent - For implementation-focused work
- Quick Flow Solo Dev - For slightly larger changes that still need a tech-spec
2. Describe the Change
Simply tell the agent what you need:
Fix the login validation bug that allows empty passwords
or
Refactor the UserService to use async/await instead of callbacks
3. Let the Agent Work
The agent will:
- Analyze the relevant code
- Propose a solution
- Implement the change
- Run tests (if available)
4. Review and Commit
Review the changes made and commit when satisfied.
Learning Your Codebase
This approach is also excellent for exploring unfamiliar code:
Explain how the authentication system works in this codebase
Show me where error handling happens in the API layer
LLMs are excellent at interpreting and analyzing code—whether it was AI-generated or not. Use the agent to:
- Learn about your project
- Understand how things are built
- Explore unfamiliar parts of the codebase
When to Upgrade to Formal Planning
Consider using Quick Flow or full BMad Method when:
- The change affects multiple files or systems
- You're unsure about the scope
- The fix keeps growing in complexity
- You need documentation for the change