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Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
An on-device developer memory tool that auto-captures code, docs and context across apps so engineers can search and reuse it later.
AI coding assistant with multi-model chat and developer tools to help write, explain and improve code faster.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
- ✦AI code completion and suggestions
- ✦Natural-language code generation
- ✦In-IDE chat assistance
- ✦AI code review
- ✦IDE integrations (VS Code, JetBrains, etc.)
- ✦GitHub integration
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Automatic capture of code, docs and context across apps
- ✦Long-term memory engine for time-based search of past work
- ✦One-click save, search and AI-tagging of code snippets
- ✦Local, on-device processing with optional cloud sync
- ✦Plugin support for browsers and IDEs like VS Code
- ✦MCP integration with external LLMs for contextual answers
- ✦AI code generation
- ✦Multi-model chat
- ✦Developer utility tools
- ✦Code explanation and improvement
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- →Speeding up coding with AI completions
- →Generating code from plain-language prompts
- →Getting in-editor help and explanations
- →Reviewing pull requests with AI
- →Understanding unfamiliar codebases
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Recalling code snippets and context from past coding sessions
- →Feeding accurate personal context into AI coding assistants
- →Keeping research notes and links without manual bookmarking
- →Preserving shared context across team collaboration tools
- →Writing code faster
- →Explaining or debugging code
- →Generating tests and documentation
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups