What You’ll Learn
- Core workflow capabilities (Professional Plan, Code Diff, Verify)
- Context awareness and specialized sub-agents
- Collaboration modes and extensibility
Verdent’s workflow is built around three core phases:
- Plan - Clarify requirements with Plan Mode
- Code - Review and refine with Code Diff for reliable delivery
- Verify - Automate testing with Verify tools and catch issues early
Core Workflow Features
Plan-Code-Verify Workflow
Precise control over requirements, implementation, and validation through verify subagent and browser tools
Professional Plan
Transform ideas into production-ready implementation plans with intelligent requirement clarification
Code Diff
Enterprise-grade code review with natural language summaries and senior engineer-level analysis
Clarification Loop
Smarter planning through continuous discussion and refinement of requirements
Plan Rules
Customize how clarifications and plans are presented based on your role and professional background
Additional Capabilities
Context Awareness: Deep Codebase Understanding
Verdent’s context management system enables comprehensive project comprehension:Massive Context Window
- 1M Token Capacity - Ingest entire medium-sized codebases (~750,000 words or 3,000+ files)
- Smart Context Loading - Automatically prioritizes relevant files based on task context
- Sub-Agent Context Optimization - Delegates specialized tasks to focused sub-agents
Adaptive Learning
- Convention Detection - Learns project-specific patterns (naming, file organization, error handling)
- Style Mimicry - Generates code matching existing style (indentation, brace placement, comments)
- Library Awareness - Recognizes frameworks in use, preferring them over new dependencies
Cross-File Coherence
- Dependency Tracking - Understands imports, exports, and module relationships
- Impact Prediction - Identifies components affected by proposed changes
- Consistency Enforcement - Ensures modifications align with existing architecture
Specialized Sub-Agents: Division of Labor
Verdent orchestrates specialized AI agents optimized for specific development tasks:- Explorer Agent
- Verifier Agent
- Code Reviewer Agent
Purpose: Fast, evidence-based codebase navigation and analysisCapabilities:
- 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
- Quick: Basic pattern matching for fast answers
- Medium: Broader search with contextual confirmation
- Very Thorough: Exhaustive scan with variant checking and cross-references
Flexible Collaboration Modes
Choose the level of autonomy that fits your workflow:- Auto Run Mode - Executes tasks autonomously while notifying you of potentially risky actions
- Manual Accept Mode - Requires your approval for every change before execution
- Skip Permissions Mode - Fully autonomous execution, including risky operations (advanced users only)
MCP (Model Context Protocol) Integration
Enables interoperability with external tools and services:- Extends functionality through existing toolchains and custom plugins
- Works seamlessly with sub-agents to support distributed task execution
- Supports integration with external APIs, databases, and development tools
Additional Features
- Auto Model Selection
- Context Referencing
- Visual Support
- Project History
- User Center
- Feedback
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