rvue Documentation

What is rvue?

AI coding tools generate code that works but doesn't match your team's patterns. They don't know your naming conventions, your preferred error handling strategy, or which patterns get PRs rejected. rvue fixes this.

rvue analyzes your codebase structure, linter configs, git history, and PR review comments to extract team intelligence, a structured, confidence-ranked model of how your team writes code. This intelligence is delivered to AI tools via Agent Skills and the Model Context Protocol (MCP).

How it works

rvue operates in three stages:

1. Analysis

When you run rvue enable in your repository, rvue performs a comprehensive analysis:

• Codebase scanning: file patterns, export styles, naming conventions, async patterns, error handling
• Config importing: ESLint, Prettier, TypeScript, EditorConfig rules as high-confidence conventions
• Git history: contributor expertise, file change frequency, co-change patterns
• PR analysis: review comments, rejected patterns, domain knowledge from discussions
• Documentation scanning: CONTRIBUTING.md, architecture docs, PR templates

2. Intelligence generation

The analysis data is sent to rvue's cloud pipeline, which combines statistical analysis with AI extraction to produce structured intelligence: conventions (ranked by confidence), anti-patterns (ranked by severity), a domain knowledge graph, reviewer expertise maps, and risk factors.

3. Delivery

Intelligence is written to your repository as an Agent Skill that compatible AI tools auto-discover. The MCP server provides real-time tool access for advanced integrations.

Architecture

CLI (local)               Cloud (rvue.dev)           AI Tools
─────────────             ──────────────             ────────
rvue enable  ──────────>  /api/analyze  ──────────>  Pipeline
  ├── codebase scan       ├── statistical analysis   ├── DeepSeek (free)
  ├── config import       ├── AI extraction          └── Claude (paid)
  ├── git analysis        └── post-processing
  └── PR fetching                │
                                 ▼
.rvue/intelligence.json  <──  Response
.cursor/skills/          <──  Agent Skill
MCP server               <──  Real-time tools

Key features

• Zero config for teammates: Agent Skills are auto-discovered. Teammates clone and code.
• Confidence-ranked: every convention and pattern has a confidence score derived from real evidence.
• Incremental sync: only new PRs are analyzed on subsequent syncs. Intelligence grows over time.
• Works with 20+ AI tools: Cursor, Copilot, Claude Code, Codex, and any tool supporting Agent Skills or MCP.
• Privacy first: intelligence files live in your repo. No source code is stored on rvue servers.