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Master Code Review

Master Code Review MULTI-AI

Up to four AI models review your code in parallel and agree on what actually needs fixing.

Drop a file here or click to browse

Or paste code directly below

Supported: .js .ts .py .java .cs .xml .json .txt .rb .go .rs .php .html .css .scss .sql .sh .yaml .yml .md .csv .docx .xlsx .pptx .pdf

Attached Files

0 files
    Content truncated to 500KB for review.
    Context Enrichment

    Review Options

    Single

    1 model

    Quick

    3 models + Opus consensus

    Full

    All 4 models

    Submitted
    Processing
    Complete

    Overall Score

    --

    Consensus Issues (agreed by 2+ models)

    100%

    Per-Model Results

    Consolidated Report

    100%

    Collaboration Evidence

    No review history yet. Run a code review to get started.

    Master Code Review Documentation

    Pricing

    A review is billed when it runs: $5.00 in Single or Quick mode, $8.00 in Full mode (all 4 models). A failed review is refunded automatically.

    Multi-AI Parallel Code Review

    Master Code Review sends your code to up to 4 AI models in parallel (Claude Opus 5, GPT-5.6 Sol, Gemini 3 Pro, Claude Sonnet 5), then aggregates the results to surface consensus issues that multiple models agree on.

    How It Works

    1. Upload a code file or paste code
    2. Select code type and focus areas
    3. Choose Full (4 AI), Quick (3 AI + Opus consensus), or Single (1 AI + Master-Mind approval)
    4. AI models review code in parallel
    5. View consensus findings and per-model results

    AI Models

    Primary: Claude Opus 5, GPT-5.6 Sol, Gemini 3 Pro

    Secondary: Claude Sonnet 5

    Review Categories

    Security Performance Best Practices Maintainability ServiceNow

    Quick Actions

    Ctrl+V Paste code into the editor
    Drop Drag files onto the upload zone

    How a Review Runs — Flow of Events

    1. Provide code — upload one or more files, or paste code directly.
    2. (Optional) Attach context — expand the enrichment panels below the editor to add screenshots, a recorded session, ServiceNow record context, code dependencies, local files, or a live filesystem/ServiceNow connection (see Context Enrichment below).
    3. Choose options — Story number, Code Type, Focus Areas, and Execution Mode (Single / Quick / Full).
    4. Run Code Review — the selected models review in parallel. When a filesystem or ServiceNow connection is attached, models use live tools (MCP) to read related files and query the instance on-demand while they reason.
    5. Consensus & scoring — findings from all models are de-duplicated; issues agreed on by 2+ models become Consensus Issues. An overall 0–100 score is computed from severity.
    6. Review the report — Overall Score, Consensus Issues, Per-Model Results, Consolidated Report, and Collaboration Evidence. Export to PDF / DOCX / MD / TXT. Past runs are saved under History.

    Execution Mode

    • Single: Runs exactly one model that you pick from the AI Model dropdown (shown only in Single mode). Fastest / lowest cost.
    • Quick: Runs the primary models for a faster pass — reports issues with 2+ model agreement.
    • Full (Default): Runs all 4 models — the most thorough pass, reports issues with 2+ model agreement.

    Context Enrichment Panels

    Optional panels above Review Options let you give the models more context. Everything you attach is folded into the review.

    • Screen Capture: Share a screen/window and capture screenshots (e.g. a form, error dialog, or diagram). Images are sent to the vision-capable models alongside the code.
    • Session Replay: Record your interactions to give the models structured behavioral context.
    • ServiceNow Record Context: Connect an instance and fetch records/portals/catalog items so their data accompanies the review.
    • Code Dependencies: Paste a ServiceNow script to auto-detect and pull related Script Includes, tables, Business Rules, Client Scripts, UI Actions, and more.
    • Local File Paths: Add absolute paths to local files/folders; their contents are read and included as context. Localhost only.
    • Filesystem Access (MCP): Connect a local folder so models can read any file in it on-demand during the review — no file limit. Localhost only. Do not connect folders containing secrets or credentials.

    Live Tools & MCP

    When you connect a filesystem folder or a ServiceNow instance, the review models get live tool access (the same MCP capability as Master Mind) and call it autonomously while reviewing:

    • Filesystem MCP: Models read related files on-demand (imports, Script Includes, callers) to verify findings against the real code instead of guessing. Available on localhost.
    • ServiceNow MCP: Models run read-only queries against the connected instance to confirm artifact names, fields, ACLs, and sys_ids before reporting an issue. They can never modify records.
    • If no connection is attached (or a tool call fails), the review automatically falls back to a standard text review.

    Supported File Types

    • Code: .js, .ts, .py, .java, .cs, .rb, .go, .rs, .php, .sql, .sh
    • Web: .html, .css, .scss
    • Config: .xml, .json, .yaml, .yml
    • Documents: .docx, .xlsx, .pptx, .pdf (text extracted for review)
    • Other: .txt, .md, .csv

    Scoring

    Scores are calculated from 0-100 based on issue severity. Consensus issues (found by 2+ models) carry higher weight. Severity levels: Critical, High, Medium, Low.

    Code Review Report

    100%

    Master-Mind Review