Overview

Purpose: Fast, evidence-based codebase navigation and analysis

Capabilities:

• Pattern Matching - Locate files using glob patterns (e.g., all TypeScript files, backend API files)
• Semantic Search - Find code by functionality (e.g., "where is authentication middleware implemented?")
• Multi-Location Synthesis - Aggregate information from multiple files

Thoroughness Levels:

• Quick: Basic pattern matching for fast answers
• Medium: Broader search with contextual confirmation
• Very Thorough: Exhaustive scan with variant checking and cross-references

Use Cases: "Find all database query functions", "Locate configuration loading logic", "How does the app handle errors?"

Purpose: Rapid code quality checks and validation

Capabilities:

• Lint Checks - ESLint, Pylint, Rubocop, etc.
• Type Validation - TypeScript, mypy, Flow type checking
• Fast Test Execution - Targeted unit tests with under 30s budget
• Diff-Focused Verification - Primarily validates changed code for efficiency

Fail-Fast Philosophy: Returns structured error reports on first real issue, avoiding time waste

Use Cases: Pre-commit checks, post-fix validation, quick sanity tests

Purpose: Comprehensive code quality, security, and maintainability audits

Capabilities:

• Security Analysis - Vulnerability scanning, credential exposure detection, injection risk assessment
• Architecture Review - Design pattern validation, SOLID principle adherence, anti-pattern detection
• Performance Analysis - Algorithmic complexity, resource leaks, optimization opportunities
• Documentation Review (for changed files) - flags unclear comments or obvious doc inconsistencies

Review Depth: More thorough than Verifier, suitable for pre-merge PR reviews

Use Cases: Feature completion review, security audit, refactoring validation

Intelligent Model Optimization:

Verdent automatically selects the most suitable AI model for each task based on complexity, performance requirements, and cost considerations.

Features:

• Task Analysis - Evaluates task complexity to determine optimal model
• Performance Balancing - Weighs speed, accuracy, and cost trade-offs
• Context-Aware Selection - Adjusts model choice based on project size and requirements
• Cost Optimization - Uses lighter models for simple tasks, reserves powerful models for complex operations

Benefits: Maximizes efficiency while minimizing credit usage, ensuring you get the best results without overspending.

Precise Context Control:

Attach specific files, folders, or code sections directly in chat using @ mentions to provide targeted context for AI assistance.

How It Works:

• Type @ in chat to see a list of available files and folders
• Select specific files to include in the conversation context
• Reference entire directories for broader context
• Mention specific code sections or documentation pages

Use Cases:

• Focus AI on specific modules when debugging
• Include configuration files when discussing setup
• Reference related components when implementing features
• Provide documentation context for accurate guidance

Multi-Modal Input:

Upload or paste images directly into chat to communicate visual requirements, UI designs, or debugging scenarios.

Supported Use Cases:

• UI/UX Design - Upload mockups, wireframes, or design screenshots for pixel-perfect implementation
• Bug Reports - Share error screenshots or visual glitches for faster diagnosis
• Frontend Development - Provide design references for accurate styling and layout
• Documentation - Include diagrams, flowcharts, or architecture visualizations

Technical Specifications:

• Supported Formats: PNG, JPG, JPEG, GIF, BMP, WebP
• Maximum Resolution: 2000×2000 pixels
• File Size Limit: 5MB (automatically compressed if exceeded; error if still >5MB after compression)

Benefits: Eliminates ambiguity in visual requirements and accelerates frontend development workflows.

Session Management:

Access and manage your conversation history to review past interactions, decisions, and implementation details.

Features:

• Session Logs - Complete record of all conversations and AI responses
• Repository Storage - Logs saved alongside your project for easy access and version control
• Session Clearing - Clear history when starting fresh or switching contexts
• Decision Trail - Review reasoning behind past implementation choices

Benefits: Maintain continuity across sessions, audit AI recommendations, and track project evolution over time.

Account Management:

Centralized hub for managing your Verdent account, credits, and plugin settings.

Available Controls:

• Credit Tracking - Monitor daily credit usage and remaining balance
• Account Information - View current subscription plan and profile details
• Sign-Out Management - Securely log out from the plugin or switch accounts
• Usage Monitoring - Track credit consumption patterns

Access: Available through the Verdent sidebar in VS Code.

Product Improvement:

Submit feedback, bug reports, and feature requests directly from VS Code to help improve Verdent.

Feedback Options:

• Text Notes - Describe issues, suggestions, or experiences in a simple text box
• Direct Submission - Send feedback without leaving your development environment
• Email Responses - Receive follow-up communication via email

What to Report:

• Bugs or unexpected behavior
• Feature requests or workflow improvements
• Documentation gaps or unclear instructions
• Performance issues or errors

Impact: Your feedback directly influences Verdent's development roadmap and helps create a better experience for all users.