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Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
AI Text2SQL database client that generates and fixes SQL from natural language across 30+ databases, with dashboards.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
AI website builder for professional service providers that generates sites, stores and web apps plus client-engagement tools.
No public pricing
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No public pricing
No public pricing
No public pricing
- ✦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
- ✦AI Text2SQL query generation
- ✦One-click SQL error fixing
- ✦GUI database management and ER diagrams
- ✦AI data analysis and dashboards
- ✦Support for 30+ databases
- ✦Local data processing for privacy
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- ✦Visual and code-based workflow builder
- ✦Prebuilt AI agent builder and deployment
- ✦Managed authentication across thousands of apps
- ✦MCP server exposing integrations as agent tools
- ✦Scheduled and event-triggered workflows
- ✦Connect SDK for embedding integrations into other products
- ✦AI website, store and web-app generation
- ✦Built-in on-page SEO and blogging
- ✦Client intake forms and contact manager
- ✦Email marketing and automation
- ✦Contracts and eSignatures
- ✦AI content and website chatbots
- →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
- →Write SQL from plain language
- →Manage multiple databases in one client
- →Generate BI dashboards from data
- →Migrate and sync schemas/data
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Building AI agents that call external APIs and tools
- →Automating cross-app workflows such as Slack, Gmail, or Sheets notifications
- →Embedding third-party integrations into a SaaS product
- →Prototyping event-driven automations without heavy infrastructure
- →Launching a professional-services website quickly
- →Generating an online store or web app with AI
- →Capturing and managing client leads
- →Sending contracts and collecting eSignatures