Hands-on tutorials for Claude Code, AI agents, cloud and system design
Agency Agents turns Claude Code into a full department of specialists (a frontend wizard, a security reviewer, a Reddit community manager) instead of one generalist juggling everything at once. It’s free, open source, and has quietly become one of the most-starred agent-persona projects on GitHub. View Agency Agents on GitHub 129,286 stars 21,018 forks Shell… Continue reading
Awesome AI Agents by the E2B team is the closest thing the agent ecosystem has to a phone book: an actively maintained, two-column list of every meaningful AI assistant and agent project, split into open-source and closed-source, with a corresponding visual “landscape” map. If you need to know what’s out there, this is where you… Continue reading
These are the 12 resources I’d send anyone asking how to learn AI agents in 2026: the primary-source canon from Anthropic, OpenAI, Google, Microsoft, and LangChain, plus the two standout free courses. Every entry is a real engineering reference or curriculum from the people building the agent ecosystem, not a tutorial-of-tutorials. Use this as the… Continue reading
TL;DR 30 sec3 min coredeep dive optional oncall-kit is Anthropic’s open starter kit that mines your team’s incident history into triage playbooks for a Claude-assisted on-call, with a human signing off at every phase before anything goes near production. Setup reads 30 to 90 days of pager history, alert threads, and postmortems, then drafts one… Continue reading
TL;DR 30 sec3 min coredeep dive optional Bedrock web search gained two upgrades on August 19, 2026: an external_web_access switch that lets model calls reach the live web, and AgentCore domain plus publish-date filters that agents cannot bypass at the API layer. external_web_access defaults to true, but live retrieval silently fails without the bedrock-websearch:ExternalWebAccess IAM… Continue reading
TL;DR 30 sec6 min coredeep dive optional AI Engineering from Scratch is a free MIT-licensed curriculum that walks you from linear algebra to shipped agent systems in 523 lessons across 20 phases, and every lesson leaves you a runnable artifact. 523 lessons, 20 phases, roughly 342 hours of work, in Python, TypeScript, Rust, and Julia…. Continue reading
TL;DR 30 sec7 min coredeep dive optional Ed Donner’s two free course repositories cover the applied LLM stack end to end: an 8-week LLM engineering course that starts on your own machine with Ollama, and a 6-week agentic engineering course refreshed in 2026 around the OpenAI Agents SDK, CrewAI, LangGraph, Google ADK, Pydantic AI, and… Continue reading
TL;DR 30 sec6 min coredeep dive optional Mem0 is an open-source memory layer for AI agents: it extracts facts from conversations, stores them with entity links, and retrieves the right ones per query, so agents remember users and events across sessions without you rebuilding the pipeline each time. 65,938 stars, Apache 2.0, with library, self-hosted… Continue reading
TL;DR 30 sec5 min coredeep dive optional Artemis is Google’s open-source agent framework that drives real Android phones and emulators from natural language, combining 3 to 5 second steps with a 99 percent completion rate on Google’s own AndroidWorld benchmark. Cross-app automation and testing on Android, from one natural-language instruction to a completed workflow. Multimodal… Continue reading
Gen AI Intensive is the free Kaggle × Google 5-day course that 140,000 developers took in its first cohort. It covers large language models, embeddings, vector stores, agents, domain-specific models, and MLOps in five daily blocks of whitepaper plus podcast plus hands-on codelab. You leave with a working RAG pipeline, a LangGraph café ordering agent,… Continue reading
Fable 5.1 is Anthropic’s successor to Fable 5, aimed at agents that run for hours: code fixes, research passes, long knowledge work. It shipped on September 1, 2026 with the same $10 and $50 per million token list prices and one big change underneath: cache reads cost $0.25 instead of $1. This guide covers the… Continue reading
TL;DR 30 sec7 min coredeep dive optional Learn Claude Code is a 77,000-star repository that teaches agent harness engineering by rebuilding a working Claude Code-style agent in 17 progressive lessons, from one tool and one loop up to multi-agent task graphs. Each lesson adds exactly one harness mechanism: the loop, tool dispatch, permissions, hooks, planning,… Continue reading
Assistants API endpoints stop working on August 26, 2026. If your product still creates threads, polls runs, or attaches tools to assistant objects, this guide moves you to the Responses API and the Conversations API before the deadline, with working Python for every step. Assistants API: What You’ll Learn The Assistants API had four moving… Continue reading