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Project IDX by Google
✓ verifiedFree
Google's cloud-based, AI-assisted development environment, now rebranded and merged into Firebase Studio.
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Devv.AI
✓ verifiedPaid
AI search engine for developers with code repo integration.
52K visits/mo4.2K saves
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Haxiom
✓ verifiedFree
Free AI-assisted markdown editor that turns a team's messy wiki into an organized, GitHub-synced knowledge base.
2.0K visits/mo
Pricing
No public pricing
Historical Data Pack: $49.9
Base Plan: $14.9/month
Advanced Plan: $24.9/month
Enterprise Plan: $34.9/month
No public pricing
No public pricing
No public pricing
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)
- ✦Commits and Pull Requests Dashboard
- ✦Advanced Developer Skills Analysis
- ✦Strategic Investment Balance Monitoring
- ✦Collaborative Developers Map
- ✦Benchmarking Comparison with Other Teams
- ✦Smart Notifications
- ✦Cloud-based IDE accessible from the browser
- ✦AI-assisted coding
- ✦Cross-platform app development
- ✦Preconfigured workspaces and templates
- ✦Now part of Firebase Studio
- ✦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
- ✦Real-time collaborative markdown editing
- ✦Two-way GitHub sync
- ✦Semantic (intent-based) search
- ✦AI duplication detector
- ✦AI knowledge organizer
- ✦Math rendering via Typst
- ✦Free publishing with Haxiom Pages
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Visualize historical graphs of code evolution
- →Assess development team performance using RSI and EMA
- →Understand developer skills and identify areas for improvement
- →Categorize commits by type (fixes, refactoring, etc.) to analyze investment balance
- →Identify individual and collective contributors within the team
- →Compare team performance with industry benchmarks
- →Receive weekly and monthly reports with AI-extracted insights
- →Building apps from anywhere in the browser
- →Prototyping with AI assistance
- →Developing cross-platform applications
- →Writing API reference documentation
- →Brainstorming SEO strategies
- →Enhancing code functionality
- →Gaining insights into open-source projects
- →Resolving complex code issues
- →Team and engineering documentation
- →Building a unified knowledge base
- →Organizing meeting notes
- →Publishing docs with SEO
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