Curated, opinionated tool combinations for specific use cases, roles, and budgets.
Showing 12 of 101 stacks
A complete open-source toolkit for working with Chinese AI models covering fine-tuning, inference serving, agent development, and voice synthesis from the leading Chinese AI research labs.
A complete toolkit for deploying and managing Model Context Protocol servers at production scale, from browser automation through server management to gateway routing and agent orchestration.
A complete API documentation toolkit combining modern reference rendering, developer portal generation, and property-based API testing for teams that treat their API docs as a product.
A curated frontend toolkit combining headless primitives, zero-runtime styling, animated components, and number transitions for building polished React applications with full design control.
A comprehensive security testing toolkit that combines AI-powered vulnerability discovery, LLM security assessment, API fuzzing, and supply chain analysis to protect modern applications across their entire attack surface.
A self-hosted identity infrastructure built entirely on open-source components for organizations that need complete control over authentication data, protocols, and user management without vendor lock-in or per-user pricing.
A comprehensive FinOps toolkit combining Kubernetes-specific cost allocation with multi-cloud visibility, autonomous optimization, and infrastructure governance to control cloud spending across the organization.
A complete open-source observability toolkit for Kubernetes that combines eBPF-powered monitoring, network flow visibility, alert enrichment, and ChatOps integration without requiring application instrumentation changes.
A fully open-source toolkit for AI-assisted software development, combining autonomous coding agents with code review automation and intelligent code completion across VS Code and JetBrains IDEs.
A production-ready toolkit for fine-tuning large language models from data preparation through deployment, combining comprehensive training orchestration with speed optimization and distributed compute.
A Postgres-native stack that adds Elasticsearch-quality search, RAG-ready vector retrieval, and self-hosted documentation without introducing external infrastructure. Everything runs within or alongside your existing PostgreSQL deployment.
A complete stack for running multiple AI coding agents in parallel with structured workflows, workspace isolation, session traceability, and cross-model code review. Covers the full cycle from task planning through code delivery and audit.
