Step 3: System Prompts

Module: junior.prompt_loader.load_prompts()

Loads prompt templates from src/junior/prompts/*.md and combines them into system instructions.

Loaded Prompts

Name	Size	Focus
security	1,274 chars	Auth bypass, privilege escalation, TOCTOU, path traversal, hardcoded secrets, weak crypto
logic	1,619 chars	Incorrect conditions, missing edge cases, error handling, thread safety, resource leaks
design	1,423 chars	Naming, DRY/KISS/SRP violations, optimization, config issues, portability

Total: 4,316 chars of system instructions.

How Prompts Are Used

The pydantic backend runs 3 parallel AI agents, one per prompt:

                    +---> [security agent] --+
User Message ------>+---> [logic agent]    --+--> merge results --> ReviewResult
                    +---> [design agent]   --+

Each agent receives: - System message: the prompt body + BASE_RULES + project instructions (AGENT.md/CLAUDE.md if present) - User message: the context from Step 2 - Output type: SubAgentFindings (structured output via pydantic-ai)