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MarsCode
✓ verifiedFree
AI-powered IDE with code completion, generation, explanation and debugging, plus a cloud dev environment, for developers.
69K visits/mo
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Img2html
✓ verifiedPaid
AI image-to-HTML converter generating responsive code from screenshots.
24K visits/mo29K saves
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CloudKeeper Tuner
✓ verifiedPaid
Automated AWS usage optimization platform giving engineers 150+ recommendations across 50+ services, averaging ~10% savings.
43K visits/mo
Pricing
No public pricing
No public pricing
PLUS: $29.99
CloudKeeper Tuner: 2% of monthly AWS bill (1% for CloudKeeper AZ/EDP+ customers)
Free trial available
Core features
- ✦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 code completion and snippet generation
- ✦Natural-language code generation
- ✦Code explanation and AI Q&A
- ✦Automated bug detection and fixes
- ✦Zero-config cloud development environment
- ✦Project creation from templates or Git
- ✦Image to HTML/CSS conversion
- ✦URL cloning
- ✦Component exporting (React, Vue, Angular)
- ✦AI image generation
- ✦Text recognition (OCR)
- ✦150+ recommendations across 50+ AWS services
- ✦Zombie and unused resource cleanup
- ✦Over-provisioned rightsizing
- ✦Idle-resource scheduler
- ✦SpotBot for ECS Fargate spot/on-demand switching
- ✦AWS console extension with Slack/Teams alerts
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Writing and completing code faster with AI
- →Onboarding to unfamiliar codebases
- →Debugging and optimizing code
- →Spinning up dev environments in the browser
- →Converting design mockups into functional code
- →Cloning existing websites by URL
- →Generating code for web components
- →Extracting text and styling from images
- →Automating front-end development workflows
- →Cutting AWS spend automatically
- →Rightsizing over-provisioned resources
- →Scheduling idle resources off-hours
- →Giving DevOps in-console cost recommendations
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