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CodeGPT
Freemium
BYOK AI coding assistant for VS Code and JetBrains with agentic coding and autocomplete using your own API keys from 15+ providers.
👁 262K/mo
✕
Text2SQL
✓ verifiedFreemium
Converts natural language into SQL across databases; useful real dev tool.
👁 20K/mo♥ 14K
Pricing
Forever Free: $0
Basic: $19
Professional: $49
Agency: $149
No public pricing
Free: $0
AutoComplete Add-on: $6.67/mo/seat (annual) or $8/mo/seat (monthly)
Basic: $8 USD / month billed annually ($4)
Pro: $25 USD / month billed annually ($19)
Enterprise: Custom USD / month
Gemini Code Assist for individuals (preview): $0/user/month
Gemini Code Assist Standard: $19/user/month (annual commitment) or $22.80/user/month (no commitment)
Gemini Code Assist Enterprise: $45/user/month (annual commitment) or $54/user/month (no commitment)
Core features
- ✦TinyForms: Build smart forms with customized APIs, real-time logic, and dynamic APIs.
- ✦TinyWorkflows: Create no-code automations with a visual drag-and-drop builder, human-in-loop capabilities, and AI assistance.
- ✦TinyTables: Manage, analyze, and visualize data with live sync, built-in AI enrichment, and smart insights.
- ✦TinyEmails: Create and send personalized emails directly from workflows with AI-crafted messages and data-driven timing.
- ✦TinyAgents: Deploy specialized AI agents for research, qualification, or enrichment tasks, with prebuilt expertise and customizable logic.
- ✦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)
- ✦BYOK: use your own API keys with 15+ AI providers
- ✦VS Code extension and JetBrains plugin
- ✦Agentic coding with planning for complex tasks
- ✦AI auto-complete for entire lines and blocks of code
- ✦MCP connections to APIs, docs, and databases
- ✦Local model support (Ollama, LM Studio)
- ✦Custom rules and live context tracking
- ✦Open source with privacy-first architecture
- ✦Text to SQL conversion
- ✦AI query generation, explanation, fixing, and optimization
- ✦Support for multiple database types
- ✦Database schema integration for accuracy
- ✦Public API for integration with other tools
- ✦AI-powered code completion and generation
- ✦Conversational assistant in IDEs
- ✦Automated code reviews in GitHub
- ✦Integration with Firebase, BigQuery, Apigee, and Application Integration
- ✦Customizable code suggestions based on private source code repositories (Enterprise edition)
Use cases
- →Lead Management: Automate lead capture, enrichment, and CRM syncing to turn form fills into qualified prospects.
- →Sales Pipeline: Automate handoffs and streamline sales processes for efficiency.
- →Marketing Campaigns: Boost marketing campaign impact through automation.
- →Recruitment Flow: Automate hiring and onboarding by collecting applications, shortlisting with AI, and notifying teams.
- →Community Flow: Manage community onboarding, approvals, and communication on platforms like Telegram.
- →Campaign Flow: Streamline voucher availing journeys, rewards, and coupon redemptions with full automation.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →AI-assisted coding inside VS Code or JetBrains IDEs
- →Handling complex multi-file coding tasks with agentic mode
- →Code generation, refactoring, and debugging
- →Using preferred cloud or local AI models with full cost control
- →Enterprise AI transformation via AI-First Services (voice and omnichannel agents)
- →Generating SQL queries from natural language descriptions
- →Explaining complex SQL queries
- →Fixing errors in existing SQL code
- →Optimizing SQL queries for performance
- →Building custom SQL AI tools using the API
- →Accelerate code development with AI-powered suggestions
- →Reduce code review time and improve code quality
- →Build integrations with AI assistance in various Google Cloud services
- →Generate SQL statements from natural language in Databases
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