Havuz

Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security

Scope | Agentic Experience evaluation platform (Research preview)

The harness orchestrator — a local-first kanban for running Claude Code, Codex, and other CLI coding agents in parallel, each in its own git

AST-Aware, Personalized-PageRank-Ranked, Token-Budgeted Codebase Compressor for LLMs

CAD/CAE Copilot — an AI-native CAD/CAE/CAX workbench for AI agents. Text-to-CAD, text-to-CAE, real build123d/OpenCASCADE geometry, editable

A complete, hands-on journey from Python fundamentals to AI Engineering. Explore Data Analytics, Data Science, Machine Learning, Deep Learni

Deconstructing Claude Code — interactive source code analysis, guided wc/helpe walkthroughs, and deep architectural exploration of Anthropic

132 Claude Code tips from Boris Cherny (Head of Claude Code, Anthropic) — curated, German-language, auto-updated 2-3x daily. One-shot Implem

FDE 中文成长手册：24 周 Forward Deployed Engineer 教程，贯通商业决策、一线问题发现、RAG/MCP 工程交付与运营交接。

An engineering philosophy that treats the agent as a worker: the system prompt is a JD, skills are certifications, model tiers are degrees,

Starter kit for building an agent harness, the map, guardrails, and feedback loops that let AI agents ship software reliably.

End-to-end Langfuse workshop using a TypeScript Agent to teach the AI engineering loop: tracing, prompt management, monitoring, datasets, ex

sofagent is an open-source FDE Harness for AI coding agents — on entry, write your business judgment into files (workflows, ontology, AI nod

HEDGEHOG codes Cleaner, Faster and with Fewer Tokens. Hedgehog's AI-driven development builds a task dependency graph from your spec-driven,

RepoPilot AI is a single-page web application that uses AI to analyze GitHub repositories and provide instant insights into architecture, te

Langfuse on GreptimeDB. Self-hosted LLM observability.

Namaste AI — Free handwritten notes and study material covering AI concepts from the Namaste AI course. Explore the history of AI, neural ne

200+ AI, Gen AI, LLM, agentic AI, Forward Deployed Engineer (FDE), AI systems architect, applied AI, LLMOps and AI platform engineering inte

멀티에이전트 Claude Code 하네스를 위한 토큰 비용 lint — 10 카테고리 × 31 sub-patterns 분류학 + 정적 감사 스크립트 + LLM 0회 결정 트리. Korean primary, English mirror.

Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA,

Commented SHIP? Full briefs for 3 pile-two AI engineering projects: LLM Ops, Agent Evals, Auto Routing. What to build, what to measure, what

Practical engineering knowledge for building and operating production AI systems — LLMs, RAG, agents, inference, evaluation, system design,

職人 Shokunin 62 AI agent skills for OpenCode, Claude Code, Cursor, Windsurf. ChromaDB memory, MCP servers, declarative self-updates. Multi-mo

obra/superpowers extended — 14→24 skills, 6 GadaaLabs engineering improvements, override infrastructure, one-command install

Learn Agentic AI, Deep Learning, Agentic Engineering, RAG and Multi-Agent Workflows.

Operational doctrine for practical AI systems design.

Ground Truth: A working developer's path into AI and machine learning, with interactive explanations, reproducible Python labs, and practica

Dissenyador visual de workflows i graphs d’IA agentiva · Diseñador visual de workflows y graphs de IA agéntica · Visual designer for agentic

An advanced AI-powered engineering intelligence, intent-tracking, and automated code maintenance platform.

Operational tooling & discipline for multi-agent AI engineering fleets — mutation-proven guards, a Textual terminal monitor, generalized ski

A comprehensive hands-on, AI-first Python curriculum with 80+ interactive Jupyter notebooks for AI Engineers from core basics to LLMs, RAG,

A modern, hands-on, self-paced course that takes you from your first line of Python to shipping a real AI-powered automation.

Deterministic, local-only audit reports for Claude Code AI agent sessions. Rust + SQLite. Zero network calls. MCP server for agents.

A structured knowledge base for large language model technologies, covering LLMs, Agents, RAG, model training, evaluation methodologies, and

A human-in-the-loop invoice and receipt review build with Azure extraction, deterministic finance rules, FastAPI, React, and SQLite.

The complete cookbook for Jev by TypeSafe AI — 120+ use cases, 10 runnable examples, 4 composition patterns, and first-principles theory for

Generate and maintain AI-readable project memory, worklogs, and handoffs for any repository.

A practical Generative AI engineering lab exploring LLM foundations, tokenization, deployment strategies, and real-world AI system design.

An AI teammate that onboards itself onto your entire engineering team codebase

AI Engineering practice and open-source book: learning, experiments, and judgment across LLMs, agents, RAG, MCP, and AI coding.

The loop your AI coding agents follow to ship a change, prove it in production, and improve. A companion file to AGENTS.md and SOUL.md.

A best-practices template for AI-assisted development at scale. It turns your repository into institutional infrastructure where AI agents c

A production GenAI architecture guide for Forward Deployed Engineer (FDE) and Applied AI interviews—RAG, agents, evals, security, and operat

Next-Gen Multi-Agent Swarm Orchestration Engine. Coordinate 50+ LLM nodes (GPT-6, Claude 5.5, DeepSeek-V4) in a high-speed mesh network. "R