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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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Ai2sql
✓ verifiedFreemium
Text-to-SQL tool that writes dialect-aware queries and gives AI agents governed, read-only database access.
9.0K saves
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Code Autopilot
✓ verifiedFreemium
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
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Tabnine AI
✓ 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
Start: $5/mo
Pro: $11/mo (unlimited queries)
Team: $23/mo (5 users)
Free trial available
No public pricing
AI Coding Platform: $39 per user per month (annual subscription)
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)
- ✦Cloud-based IDE accessible from the browser
- ✦AI-assisted coding
- ✦Cross-platform app development
- ✦Preconfigured workspaces and templates
- ✦Now part of Firebase Studio
- ✦Natural-language to SQL
- ✦Semantic schema layer
- ✦Governed MCP/REST gateway
- ✦Read-only query enforcement
- ✦7 database connectors
- ✦SQL explain, optimize and format
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
- ✦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
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Building apps from anywhere in the browser
- →Prototyping with AI assistance
- →Developing cross-platform applications
- →Generating SQL without coding
- →Giving agents safe DB access
- →Explaining and fixing queries
- →Querying live databases
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
- →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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