UI Bakery AI

Fully managed vector database built for AI applications at production scale.

Pinecone is a leading managed vector database designed for high-performance similarity search at scale. Purpose-built for AI applications including RAG, recommendation systems, and semantic search. Offers managed serverless infrastructure with automatic scaling, filtering, hybrid retrieval, and namespacing. No infrastructure management required.

Flexible JavaScript test framework

Feature-rich JavaScript test framework for Node.js with BDD/TDD interfaces, flexible assertion library choice, and extensive plugin support. The veteran test runner trusted by thousands of projects, offering async test support, configurable reporters, and a mature ecosystem that makes it reliable for both unit and integration testing in Node.js applications.

Opinionated code formatter for web projects

Prettier is an opinionated code formatter with 50K+ GitHub stars that enforces a consistent style by parsing and reprinting code with its own rules. Supports JavaScript, TypeScript, CSS, HTML, JSON, Markdown, YAML, GraphQL, and more. Eliminates style debates in code reviews by making formatting automatic and deterministic. Features minimal configuration by design, editor integration for format-on-save, and pre-commit hooks via husky. The de facto formatting standard for web development.

Editable UI flows from prompts, screenshots and sketches

AI-assisted product-design platform that turns prompts, screenshots and hand-drawn sketches into editable UI flows for non-designers and early product ideation, complementing rather than duplicating developer-first code generators.

Design-system-aware AI prototyping for code-ready product interfaces

Magic Patterns turns product ideas, prompts, screenshots, and existing UI into editable, code-ready interfaces. Its design-system-aware editor supports collaborative iteration, two-way GitHub sync, and an MCP workflow for moving designs between the canvas and coding agents—positioning it between prompt-to-app builders and design-handoff tools rather than as a single-screen generator.

Heterogeneous CPU-GPU inference and SFT for large MoE models

Open-source framework for running and fine-tuning large Mixture-of-Experts models with heterogeneous CPU-GPU execution, optimized kernels, limited VRAM and SGLang or LLaMA-Factory integrations.

Official Kubernetes and Helm reference stack built on the vLLM inference engine

Official vLLM reference implementation for scaling the existing inference engine on Kubernetes with Helm, request routing, KV-cache offload, autoscaling and Prometheus/Grafana observability.

Distributed inference orchestration above vLLM, SGLang and TensorRT-LLM

Open-source, datacenter-scale orchestration layer that coordinates vLLM, SGLang and TensorRT-LLM across nodes with disaggregated serving, KV-aware routing, multi-tier cache management and automatic scaling.

Open-source GPU control plane for scalable AI model serving

Open-source GPU cluster manager that configures vLLM, SGLang, TensorRT-LLM or custom engines, serves models through compatible APIs, and provisions SSH-accessible GPU instances across on-premises, Kubernetes and cloud environments.