Example: Full Pipeline Run

End-to-end walkthrough of Junior reviewing a test repository with intentional bugs. Each step shows the exact data flowing through the pipeline — useful for understanding what Junior collects, what the LLM receives, and what the output looks like.

You can reproduce this by running:

cd /path/to/test-repo
OPENAI_API_KEY=sk-... junior --backend pydantic --prompts security,logic,design --source branch -v

Steps

Step	File	Description
0	00_test_repo.md	Test repository setup and intentional bugs
1	01_collect.md	Phase 1: Collect — git diff, changed files, metadata
2	02_context_build.md	Context builder: the user message sent to AI
3	03_prompts.md	System prompts: what each agent receives as instructions
4	04_review.md	Phase 2: AI review — raw ReviewResult JSON
5	05_publish.md	Phase 3: Formatted markdown output

Configuration Used

Setting	Value
Collector	local (no platform API)
Agent	pydantic (parallel agents via asyncio)
Publisher	local (stdout)
Provider	openai
Model	gpt-5.4-mini
Prompts	security,logic,design (3 parallel agents)