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Data Analytics__data Labeling Training Data__managed Annotation ServicesSoftware Development__coding Assistants Copilots__code Chat Q ASoftware Development__code Generation__frontend GenerationData Analytics__data Labeling Training DataSoftware Development__code GenerationSoftware Development__coding Assistants CopilotsData AnalyticsSoftware Development
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Sherpa Coder
✓ verifiedFree
VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.
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Zara
✓ verifiedPaid
Data lab providing expert human data, RL environments, and contextual evaluations to train and assess AI models and agents.
👁 6.3M/mo♥ 45K
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Magic Patterns
✓ verifiedFreemium
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
👁 242K/mo♥ 3.8K
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦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
- ✦Realm: RL environments and frontier evaluations
- ✦Cortex: contextual evaluation for production AI agents
- ✦Expert-demonstrated robotics training data
- ✦Benchmarks such as LongExtractionBench
- ✦Expert human data partnerships
- ✦Research lab on human data markets
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →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
- →Train and evaluate frontier AI models
- →Improve agent performance in production
- →Source expert human data for AI labs
- →Gather demonstration data for robotics
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
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