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Screenshot To Code Frontend Generation AI Search Engines Code Generation Software Development Productivity Assistants AI Agent AI Assistant

✓ verifiedFree

Turns UI screenshots into working Flutter code.

12K saves

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves

✓ verifiedPaid

AI search engine for developers with code repo integration.

52K visits/mo4.2K saves

✓ verifiedPaid

Enterprise-focused AI coding assistant offering code completion, in-IDE chat and agentic workflows with strict code privacy controls.

Pricing

No public pricing

No public pricing

No public pricing

AI Coding Platform: $39 per user per month (annual subscription)

Core features

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✦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)

✦GitHub Mode for repository search
✦Web Mode for web-based information retrieval
✦Chat Mode for direct AI interaction
✦Model selection (GPT, Claude, Gemini)
✦Student discount program

✦AI code completion for single and multi-line suggestions
✦In-IDE chat supporting the full software development lifecycle
✦Agentic workflows and a CLI for terminal-based AI coding
✦Enterprise Context Engine for org-specific codebase understanding
✦Zero code retention and no training on customer code
✦Flexible deployment: SaaS, VPC, on-prem or air-gapped
✦Governance controls, SSO, and centralized usage analytics

Use cases

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→Creating and manipulating datasets
→Training small machine learning models
→Implementing advanced training and inference logic
→Building applications that require tensor computations

→Writing API reference documentation
→Brainstorming SEO strategies
→Enhancing code functionality
→Gaining insights into open-source projects
→Resolving complex code issues

→Enterprise engineering teams needing private, compliant AI coding tools
→Developers wanting AI chat and completions inside their existing IDE
→Organizations with legacy or mixed tech stacks requiring context-aware suggestions
→Security-sensitive teams requiring air-gapped AI deployment

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