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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
AI-based test automation tool that lets QA teams and non-technical staff write and maintain end-to-end tests in plain English.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
AI app builder that lets non-developers describe an idea and generate a working mobile or web app through chat.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦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
- ✦Plain-English test authoring and execution
- ✦Generative AI self-healing to reduce test maintenance
- ✦Coverage across web, mobile, desktop, API, and mainframe apps
- ✦Built-in support for email, SMS, phone calls, and 2FA testing
- ✦Test recorder for faster initial test creation
- ✦Import of existing manual test cases
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦Natural language to app generation
- ✦Support for both mobile and web app output
- ✦Deployment-ready output with responsive UI
- ✦Credit-based usage pricing pegged to AI provider costs
- ✦Rollover, non-expiring credits
- ✦Mobile companion app for building on the go
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Reducing test-maintenance workload for QA teams
- →Letting business analysts write automated tests without coding
- →Running cross-browser and cross-platform tests in one suite
- →Automating regression testing for CRM and ERP systems
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Founders prototyping a mobile app idea without hiring developers
- →Non-technical users building internal tools or SaaS MVPs
- →Teams needing quick websites or content management systems
- →Developers experimenting with AI-assisted app scaffolding