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DeepWiki by Congnition
✓ verified
AI documentation generator for GitHub repos with a conversational interface; very high traffic from Cognition.
👁 1.2M/mo
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Aide Dev
✓ verifiedPaid
Aide helps developers code faster with parallel agents and automated workflows.
👁 7.6K/mo
Pricing
Essential: $29 per seat/mo (billed annually) + $0.99 per Fin resolution
Advanced: $85 per seat/mo (billed annually) + $0.99 per Fin resolution
Expert: $132 per seat/mo (billed annually) + $0.99 per Fin resolution
Fin AI Agent (on existing helpdesk): $0.99 per Fin resolution (50 resolutions per month minimum)
Copilot: $29 per agent/mo (billed annually)
Proactive Support Plus: $99 /mo
No public pricing
No public pricing
No public pricing
Standard: $49 per month
Core features
- ✦Fin AI Agent for automated customer support
- ✦Omnichannel support (inbox, tickets, phone, help center)
- ✦AI-enhanced inbox for agent productivity
- ✦AI Insights & Reporting for performance optimization
- ✦Workflow automation with a visual builder
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦AI-powered documentation generation
- ✦Conversational interface for interacting with documentation
- ✦Codebase structure understanding
- ✦Up-to-date documentation for GitHub repositories
- ✦Parallel Agents for faster coding
- ✦GitHub native integration
- ✦Automated PR workflow
- ✦Smart PR suggestions
- ✦Automatic code reviews
- ✦Real-time progress tracking
Use cases
- →Providing instant customer service with Fin AI Agent
- →Managing customer inquiries across multiple channels
- →Automating support workflows to improve efficiency
- →Empowering support agents with AI-powered tools
- →Gaining insights into customer service performance
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Understanding the structure and functionality of a GitHub repository through interactive documentation.
- →Quickly accessing information about a codebase without having to read through all the code.
- →Automating code reviews
- →Generating PRs automatically
- →Improving code quality through continuous improvements
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