BACON-AI Documentation
Visual guides, tools documentation, and workflows for the BACON-AI framework — written for everyone from project managers to AI agents.
Quick links
Git Workflows & Worktrees
A jargon-free guide to Git, branches, worktrees, and pull requests — for project managers, stakeholders, and anyone who works alongside developers.
What is Git?
Repositories, commits, and why developers use version control.
Chapter 2Branches
Working in parallel — like having multiple drafts of a document.
Chapter 3Git Worktrees
Multiple desks, each with a different version open at the same time.
Chapter 4Pull Requests
The review process before changes go live.
Chapter 5Complete Workflow
End-to-end example from idea to production using BACON-AI.
Chapter 6Prompt Cheat Sheet
Ready-to-use phrases for developers or Claude Code.
Chapter 7Glossary
Quick-reference definitions of every Git term.
7 pagesVisual QA & Browser Testing
Lightweight browser-based QA tools for AI agents and developers — screenshots, GIF recording, pixel diff, YOLO detection, and OmniParser screen understanding.
Lite Browser QA Skill
Three-tier architecture, tool selection, analysis pipeline, BPMN diagrams, real-world test results, and QA workflow recipes.
New Quick referenceWhich Tool Do I Use?
Question-based lookup: match your QA question to the right tool.
RecipesQA Workflows by Change Type
Step-by-step for CSS changes, refactors, new features, and full audits.
DemoReal-World Test Results
BACON Mesh Hub v0.2 tested with all tools — screenshots, GIFs, visual diff, YOLO, OmniParser, interactive dashboard.
Think of this hub as a library reception desk. The Git section is a travel phrasebook — enough vocabulary to follow the conversation without becoming fluent. The Visual QA section is an equipment manual — which tool to grab for which job.