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Software Development__coding Assistants Copilots__ide Copilots__autonomous AgentsSoftware Development__code Generation__sql Query GenerationSoftware Development__coding Assistants Copilots__ide CopilotsSoftware Development__coding Assistants CopilotsSoftware Development__code GenerationSoftware DevelopmentAI AgentAI Assistant
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Cody
✓ verifiedPaid
Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
👁 245K/mo
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NLSQL
✓ verifiedFree trial
Natural-language-to-SQL analytics that deploys in your own Azure tenant, letting teams query databases from Teams, Slack or web.
♥ 4.4K
Pricing
No public pricing
No public pricing
Enterprise: starting at $16K (includes AI feature credits, scales with team size)
No public pricing
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)
- ✦Natural language to SQL conversion
- ✦Codebase-aware developer chat
- ✦AI code completions and inline edits
- ✦Customizable and shareable prompts
- ✦Automatic bug identification and debugging help
- ✦Context filters to exclude sensitive repos
- ✦Integrates with major code hosts and IDEs
- ✦Plain-English to SQL query generation
- ✦Deploys inside your own Azure subscription
- ✦Works in Microsoft Teams, Slack and web chat
- ✦In-chat charts and visualizations
- ✦Connects to SQL Server, PostgreSQL, Snowflake, Redshift, MySQL and more
- ✦Self-service KPI/intent mapping
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generating SQL queries from text descriptions.
- →Engineers asking questions about an unfamiliar large codebase
- →Teams standardizing common coding tasks with shared prompts
- →Developers debugging errors faster with AI-assisted context
- →Enterprises running large-scale code migrations
- →Let non-technical staff query corporate data
- →Self-service business analytics
- →Keep data in-tenant for compliance
- →In-chat reporting inside Teams or Slack
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