engineer▌

Forge is a full-stack Rust framework. Everything compiles into a single binary backed by PostgreSQL. There is no separate API server, job runner, or cron scheduler -- one binary does it all.

Production-grade LLM applications, RAG systems, and intelligent agent architectures for enterprise AI. \n \n Supports major LLM providers (OpenAI, Anthropic, open-source models) with multi-model orchestration, function calling, and structured outputs \n Advanced RAG capabilities including vector databases, hybrid search, reranking, query understanding, and patterns like GraphRAG and self-RAG \n Agent frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) with memory systems, tool integration, and m

Cloud infrastructure design, provisioning, and operations using IaC, Kubernetes, and DevOps best practices. \n \n Covers Terraform, Kubernetes, and multi-cloud platforms (AWS, Azure, GCP) with structured workflows for architecture design, implementation, and validation \n Includes CI/CD pipeline design, GitOps patterns, and deployment strategies (blue/green, canary) with automated testing and rollback procedures \n Provides observability frameworks with SLI/SLO/SLA definitions, logging, metrics,

Production-grade ML engineering expertise for deploying models, building MLOps systems, and scaling AI infrastructure. \n \n Covers model deployment, feature stores, monitoring, and distributed computing with PyTorch, TensorFlow, Spark, and Kubernetes \n Includes LLM integration patterns, RAG system architecture, and fine-tuning workflows using LangChain and LlamaIndex \n Provides production patterns for scalable data processing, real-time inference, A/B testing, and automated retraining pipelin

Expert guidance for building retrieval-augmented generation systems with optimized embeddings, chunking, and retrieval pipelines. \n \n Covers semantic chunking, hierarchical retrieval, and hybrid search combining keyword and vector similarity matching \n Addresses critical RAG pitfalls including fixed-size chunking, embedding refresh strategies, and retrieval evaluation separate from generation quality \n Emphasizes chunking by meaning rather than token limits, multi-level indexing for precisio

Expert guidance on prompt optimization, LLM evaluation, and agentic system design for production AI applications. \n \n Covers advanced prompt engineering patterns, few-shot learning, chain-of-thought techniques, and structured output design for Claude, GPT-4, and other LLMs \n Includes RAG optimization frameworks, LLM evaluation methodologies, and performance tuning strategies with reference documentation \n Provides agentic system design principles, multi-agent orchestration patterns, and depl

Transforms raw user prompts into optimized prompts using 11 established frameworks. \n \n Analyzes task type, complexity, and clarity to intelligently select the best framework(s) for the job \n Supports 11 frameworks including RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, and GROW \n Operates in \"magic mode,\" silently selecting frameworks without exposing technical jargon to users \n Blends multiple frameworks for complex tasks spanning different dimens

Designs and executes chaos experiments with safety controls, runbooks, and resilience testing frameworks. \n \n Covers full chaos workflow: system analysis, hypothesis-driven experiment design, controlled failure injection, and learning loops with documented improvements \n Provides templates and reference guides for infrastructure chaos (servers, networks, zones), Kubernetes-native experiments (Litmus, Chaos Mesh), and game day exercises \n Includes concrete examples using Litmus ChaosEngine, t

404: Not Found

Transform functional UI into visually stunning interfaces without design mockups. \n \n Specializes in visual enhancement, micro-interactions, and creative styling using modern CSS, Tailwind, and animation libraries like Framer Motion \n Covers color theory, typography hierarchy, spacing systems, and accessibility standards (WCAG AA contrast, keyboard navigation, reduced-motion support) \n Includes reusable patterns for glassmorphism cards, skeleton loaders, and common UI components with product