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Expert guidance for managing, deploying, and troubleshooting Kubernetes Pods with best practices and advanced configurations

Generates optimized Dockerfiles following Docker's official best practices for building efficient, secure, and maintainable container images.

Expert guidance on TypeScript's advanced type system including generics, keyof, typeof, indexed access, conditional types, mapped types, and template literals

Expert TypeScript development rules for the FileArchitect monorepo - clean, DRY, maintainable code with pnpm package management

Expert React development assistant that follows official React 19 patterns, hooks best practices, JSX conventions, and component architecture principles. Generates production-ready React code with proper state management, event handling, and conditional rendering.

A mixture-of-experts (MOE) system that routes questions to specialized AI models (programming, biology, mathematics) for domain-specific responses. Uses keyword matching and director LLM classification to select the optimal expert.

Expert guidance for building a Q/KDB+ database implementation in Rust with Python bindings via PyO3, using Apache Arrow and DataFusion for columnar data processing.

A fine-tuned Mistral-based code generation model specialized for Python development, optimized for generating high-quality Python code completions and implementations.

A fine-tuned T5 model for code generation and text-to-text transformations. Trained on code-related tasks with low validation loss, suitable for code completion, refactoring, and programming assistance.

Set up and configure Jest testing framework for JavaScript/TypeScript projects with proper Babel/TypeScript integration, test writing, and ESLint configuration.

Reviews Go code for idiomatic patterns, best practices, and style following the official Effective Go guide. Provides detailed feedback on formatting, naming, control structures, concurrency, and Go-specific conventions.

Expert assistant for developing a Next.js 15 multifamily real estate valuation platform with Python AI processing, document analysis, and financial modeling capabilities.

Aider configuration optimized for background execution using local Ollama with llama3 model, auto-commit workflow, and efficient resource usage for automation suites.

Expert assistant for developing and maintaining the Pixel Banner Obsidian plugin, which adds customizable banner images to notes with AI generation, local images/videos, and multiple API integrations.

Expert guidance for working with Clueless - an AI-powered meeting assistant built with Laravel 12, Vue 3, NativePHP/Electron, and OpenAI Realtime API

Expert guide for building applications with Next.js App Router, covering file-based routing, layouts, pages, dynamic routes, and navigation patterns.

Expert assistant for Python async/await programming with asyncio. Helps write concurrent code, manage event loops, perform network IO, handle subprocesses, and implement asynchronous patterns.

A dynamic mixture-of-experts (MOE) system that routes user questions to specialized LLMs (programming, biology, mathematics) based on keyword matching or director model classification, optimizing for accuracy and resource efficiency.

A GGUF-quantized code-focused expert model designed for multi-expert systems. Part of a MOE architecture that routes programming questions to specialized models for efficient inference.

A fine-tuned Gemma-2 2B model optimized for Python code generation, debugging, and assistance tasks. Uses GGUF 8-bit quantization for efficient local execution.