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Connects Git repos to answer plain-English questions about your code with file references and dependency context.
AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
Free project-based platform pairing students and new grads with startups to build AI-assisted portfolio projects for job-hunting.
No public pricing
Free trial available
No public pricing
No public pricing
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦Natural language to SQL conversion
- ✦Natural-language to SQL/NoSQL query generation
- ✦AI-driven query optimization with rewrite suggestions
- ✦Syntax validation with automated error fixes
- ✦Query formatting and cross-engine conversion
- ✦Schema-aware data source connections with autosuggest
- ✦Rule-based guardrails per connected data source
- ✦Support for large schemas with 900+ tables
- ✦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
- ✦Real startup project challenges with prizes or internship opportunities
- ✦AI-powered portfolio builder
- ✦AI-based GitHub profile analysis and feedback
- ✦Guided challenges combining AI tools like Cursor and ChatGPT
- ✦Access to free AI tool accounts during challenges
- ✦Structured multi-week AI agent building competitions
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Generating SQL queries from text descriptions.
- →Analysts writing SQL without deep query-syntax knowledge
- →Developers debugging and optimizing slow queries
- →Teams standardizing SQL formatting across a codebase
- →Migrating queries between database engines
- →Learners wanting plain-language explanations of SQL statements
- →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
- →Building a hire-ready portfolio without a formal internship
- →Practicing AI-assisted development on real business problems
- →Getting an AI review of a GitHub profile before job applications
- →Competing in timed AI agent-building challenges for prizes