#Ai-engineering
Showing 37 of 37 repositories tagged #ai-engineering, ranked by stars
Learn it. Build it. Ship it for others.
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
Warcraft III Peon voice notifications (+ more!) for Claude Code, Codex, IDEs, and any AI agent. Stop babysitting your terminal. Employ a Peon today.
๐ Two books on harness engineering โ the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev
A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.
Your Cheat Sheet for AI Engineering Interview โ Questions and Answers.
A list of AI memory projects
Agentๅทฅ็จๅธๆๅ จๅญฆไน ่ทฏๅพ ยท ไป้ถ็ฒพ้ AI ๅทฅ็จ ยท 20 ้ถๆฎต 503 ่ฏพ ยท ไธญๆๅ จ้็ฟป่ฏ + ้ ๅฅ็ซ็น + ๅจ็ป่ฎฒ่งฃ่ง้ข ยท ๅฆไฝๆไธบ AI Agent ๅทฅ็จๅธ็ไฟฎๆๆๅ
A curated collection of resources for ๐ Azure OpenAI, ๐ฆ LLMs (+RAG, Agents). Monthly Updates.
GRACE (Graph-RAG Anchored Code Engineering): open Agent Skills for contract-driven AI code generation with semantic markup, knowledge graphs, and support for Claude Code, Codex CLI, and Kilo Code.
Datasets for Predictive Maintenance
A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems.
Deconstructing Claude Code โ interactive source code analysis, guided wc/helpe walkthroughs, and deep architectural exploration of Anthropic's AI coding agent.
A toolkit that makes Claude Code better at engineering โ session memory, dependency analysis, large file navigation, 18 specialist agents, and crew teams for parallel multi-branch work.
The Map Everyone's Missing: LLM Knowledge Engineering in 2026 โ First unified guide connecting RAG, Context Engineering, Harness Engineering, Skill Systems, Agent Memory, MCP, and Progressive Disclosure
A Go library for building performant, type-safe AI agents that execute structured reasoning workflows.
Complete Zero-to-Hero Guide for Vibe Coding, AI-Assisted Development, Local LLMs, Frontend, Backend, DevOps, Cloud, Hosting, Debugging, Deployment, and AI-Native Software Engineering.
A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: ๐ AI Gateway (LiteLLM) ๐ค LLM Serving (vLLM, SGLang, Ollama) ๐ Vector Databases, ๐ Embedding Models (TEI) ๐ Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes
Explore a curated collection of exceptional open-source libraries for generative AI meticulously reviewed or slated for review by The AI Engineer. Contribute your own projects to be considered for evaluation and inclusion in this dynamic repository dedicated to advancing the AI engineering discipline.
obra/superpowers extended โ 14โ24 skills, 6 GadaaLabs engineering improvements, override infrastructure, one-command install
Build & connect smart devices using AI. Vento is your playground for building with AI, code and hardware โ no limits, just creation.๐๐
Enterprise-grade AI Agent Skills for software development, DevOps, SRE, security, and product teams. Compatible with Claude Code, Cursor, Windsurf, Gemini CLI, GitHub Copilot, and 30+ AI coding agents.
Operational doctrine for practical AI systems design.
A structured knowledge base for large language model technologies, covering LLMs, Agents, RAG, model training, evaluation methodologies, and AI engineering practices.
๐งพ | Use these AI prompts to refine your searches, improve accuracy, and get detailed, context-driven responses that precisely match your queries.
LLM Engineering Claude Skills
Human-first AI Design Engineer with 8 specialized personas.
A complete, hands-on roadmap to becoming an AI Engineer, from Python basics to production RAG, Agents, and Fine-Tuning. 10 modules, 20+ notebooks, 15 real projects. Free, open source, built for the community.
็นไธญ AI / LLM ๅญธ็ฟ่ทฏๅพ + ้ข่ฉฆๆบๅๆๆ + 2024-2025 ็ ็ฉถๅๆฒฟใ
This repo contains a set of utilities and helpers that I use in my algorithmic trading strategies.
Context Engineering for LLMs: structured notes on RAG, system prompts, MCP, Agents, and Memory Management โ compiled from multiple expert sources.
Production operations framework for AI-powered SaaS. The architectural patterns, failure modes, and operational playbooks that determine whether your AI systems scale profitably or fail expensively.
Top 50 Claude shortcut hacks for faster prompts ๐ Star if you like it! ๐
๐ AI Multi-Agent Engineer Portfolio I'm Idael, an AI Prompt Engineer and Network Automation specialist at Kyndryl, focused on transforming complex challenges into innovative solutions through multi-agent systems.