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VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.
AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
Data-labeling and RL data platform supplying training data, environments and evaluation for frontier AI labs and enterprises.
No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.
AI website builder for professional service providers that generates sites, stores and web apps plus client-engagement tools.
No public pricing
No public pricing
Free trial available
No public pricing
No public pricing
- ✦in-editor chat with OpenAI assistants
- ✦workspace source-code context sharing
- ✦support for custom, user-defined assistants
- ✦secure management of the user's OpenAI account
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Data labeling across modalities
- ✦RL environments and reward signals
- ✦Custom model evaluations and benchmarks
- ✦Human preference/annotation from an expert network
- ✦Recursion RL platform for enterprise agents
- ✦Robotics data (video, trajectories)
- ✦Prompt-to-app full-stack generation
- ✦Built-in backend, database and auth
- ✦One-click integrations (Slack, Notion, HubSpot, etc.)
- ✦Instant hosting and custom domains
- ✦Superagents for automated workflows
- ✦GitHub sync and code export
- ✦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
- →getting coding help without switching out of VS Code
- →using a personalized OpenAI assistant tuned to a project
- →quick in-editor Q&A while writing code
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Building training and evaluation datasets
- →Post-training and RLHF for models
- →Benchmarking model capability
- →Training enterprise specialist agents
- →Building internal tools and dashboards
- →Launching websites and landing pages
- →Creating customer portals and CRMs
- →Deploying AI agents that automate tasks
- →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