Commit Graph

2 Commits

Author SHA1 Message Date
Rodin d7d5151a1f feat(persona): add role-based review personas (#51)
CI / test (pull_request) Successful in 15s
CI / review (/openai/v1, gpt-4.1, gpt41, openai, GPT_REVIEW_TOKEN) (pull_request) Failing after 17s
CI / review (/anthropic/v1, claude-sonnet-4-6, sonnet, anthropic, SONNET_REVIEW_TOKEN) (pull_request) Failing after 17s
CI / review (/openai/v1, gpt-4.1-mini, gpt41-mini, openai, GPT_REVIEW_TOKEN) (pull_request) Failing after 16s
CI / review (/openai/v1, gpt-5-mini, gpt5-mini, openai, GPT_REVIEW_TOKEN) (pull_request) Failing after 14s
CI / review (/openai/v1, gpt-5, security, openai, SECURITY_REVIEW.md, SECURITY_REVIEW_TOKEN) (pull_request) Successful in 1m28s
CI / review (/openai/v1, gpt-5, gpt, openai, GPT_REVIEW_TOKEN) (pull_request) Successful in 1m41s
Implement role-based review personas that provide specialized review focus:
- Security: vulnerabilities, auth, secrets, injection attacks
- Architect: design patterns, code organization, API contracts
- Docs: documentation quality, API clarity, error messages

Changes:
- Add persona loading from JSON files and embedded built-ins
- Add --persona and --persona-file CLI flags (mutually exclusive)
- Add BuildPersonaSystemPrompt for persona-specific prompts
- Add FormatMarkdownWithDisplay for persona display names
- Update action.yml with persona and persona-file inputs
- Add comprehensive tests for all new functionality
- Document personas in README with examples

The persona system replaces the generic 'You are an expert code reviewer'
prompt with domain-specific identity, focus areas, ignore list, and
severity calibration. This reduces redundancy between multiple reviewers
and catches domain-specific issues that generic reviewers miss.

Closes #51
2026-05-10 02:49:21 -07:00
Rodin a9c8ecfb0b docs: add review update strategy with state transition diagram
CI / test (pull_request) Successful in 12s
CI / review (gpt-4.1, gpt, GPT_REVIEW_TOKEN) (pull_request) Successful in 24s
CI / review (gpt-5, sonnet, SONNET_REVIEW_TOKEN) (pull_request) Successful in 1m17s
CI / review (gpt-5, security, SECURITY_REVIEW.md, SONNET_REVIEW_TOKEN) (pull_request) Successful in 1m22s
Explains the edit-in-place approach, state transition rules, worst-wins
escalation, and inline comment lifecycle. Includes a Mermaid state
diagram for visual reference.
2026-05-01 23:01:32 -07:00