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AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Enterprise-focused AI coding assistant offering code completion, in-IDE chat and agentic workflows with strict code privacy controls.
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
Desktop and VS Code AI coding assistant that generates and explains code from plain-language prompts, for developers and coding students.
No public pricing
No public pricing
No public pricing
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦AI code completion for single and multi-line suggestions
- ✦In-IDE chat supporting the full software development lifecycle
- ✦Agentic workflows and a CLI for terminal-based AI coding
- ✦Enterprise Context Engine for org-specific codebase understanding
- ✦Zero code retention and no training on customer code
- ✦Flexible deployment: SaaS, VPC, on-prem or air-gapped
- ✦Governance controls, SSO, and centralized usage analytics
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
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- ✦AI code generation from natural-language prompts
- ✦AI code explanation for unfamiliar snippets
- ✦Snippet bookmarking for later reuse
- ✦VS Code extension integration
- ✦Support for major programming languages
- ✦Desktop apps for Windows and macOS
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Enterprise engineering teams needing private, compliant AI coding tools
- →Developers wanting AI chat and completions inside their existing IDE
- →Organizations with legacy or mixed tech stacks requiring context-aware suggestions
- →Security-sensitive teams requiring air-gapped AI deployment
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
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- →Speeding up debugging and syntax lookup for professional developers
- →Helping students understand coding concepts step by step
- →Generating boilerplate or algorithmic code snippets
- →Saving and organizing reusable code snippets across projects
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