https://github.com/shanraisshan/claude-code-best-practice https://charliehills.substack.com/p/claude-code-beginner-advanced?triedRedirect=true CLAUDE CODE FULL COURSE 4 HOURS: Build & Sell (2026) Context Lens 12-Factor Agents - Principles for building reliable LLM applications Building effective agents No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer https://www.humanlayer.dev/ https://github.com/affaan-m/everything-claude-code https://www.youtube.com/watch?v=WLZqPonSrK0 https://newsletter.pragmaticengineer.com/p/the-third-golden-age-of-software https://addyosmani.com/blog/agentic-engineering/ https://addyosmani.com/blog/factory-model/?ref=dailydev https://www.infoq.com/articles/spec-driven-development/?ref=dailydev https://www.youtube.com/playlist?list=PLucm8g_ezqNoAkYKXN_zWupyH6hQCAwxY Project Loom: Understand the new Java concurrency model Project Valhalla: A look inside Java’s epic refactor How to speak https://x.com/heyrimsha/status/2037145631987556748 https://github.com/karanpratapsingh/system-design https://github.com/donnemartin/system-design-primer https://www.systemdesignbutsimple.com/p/free-resources https://github.com/ByteByteGoHq/system-design-101/tree/main Hard truths about building in the AI era | Keith Rabois (Khosla Ventures)
Notion + Obsidian
Stop Notion. Here’s Why Obsidian is the BEST Note-Taking app in 2026 - Article Stop Notion. Here’s Why Obsidian is the BEST Note-Taking app in 2026
10 GitHub Repositories for AI Engineers
- Hands on Large Language Models - Este repositório contém os exemplos de código completos do livro Hands-On Large Language Models, incluindo notebooks que cobrem desde a introdução até o fine-tuning de LLMs.
- AI Agents for Begineers - Curso amigável para iniciantes sobre Agentes de IA. São 11 lições gratuitas para começar a construir sistemas de agentes.
- GenAI Agents - Tutoriais e implementações de várias técnicas de Agentes de IA Generativa, do básico ao avançado.
- Made with ML - Aprenda como projetar, desenvolver e implantar aplicações de ML em nível de produção.
- Prompt Engineering Guide - Contém guias, artigos, palestras e recursos para dominar a engenharia de prompts.
- Hands on AI Engineering - Repositório curado de aplicações e sistemas agentes demonstrando casos práticos de uso de LLMs.
- AutoResearch by Andrej Karpathy - Como construir loops de experimentos de ML autônomos onde agentes modificam código de treino e iteram sozinhos.
- Designing Machine Learning Systems - Resumos e recursos baseados no livro Designing Machine Learning Systems.
- Awesome LLM Inference - Lista curada de artigos e códigos sobre otimização de inferência (Flash-Attention, Quantização, Paged-Attention, etc).
- LLM Course - Curso completo cobrindo o ciclo de vida de aplicações LLM, do design ao deploy, com roadmaps e notebooks Colab.
https://github.com/microsoft/ai-agents-for-beginners https://www.promptingguide.ai/
Claw code
https://github.com/ultraworkers/claw-code https://github.com/Yeachan-Heo/oh-my-codex https://github.com/code-yeongyu/oh-my-openagent
Document AI
https://cloud.google.com/document-ai
EmDash
https://lushbinary.com/blog/cloudflare-emdash-developer-guide-setup-plugins-deployment-2026/ https://github.com/emdash-cms/emdash/ https://docs.astro.build/en/concepts/why-astro/ https://blog.cloudflare.com/emdash-wordpress/
Ingestão de PDF
https://github.com/opendataloader-project/opendataloader-pdf https://github.com/microsoft/markitdown
Karpathy’s memory
https://paulo.com.br/blog/memoria-agentes-second-brain/ https://x.com/karpathy/status/2040470801506541998 https://x.com/DataChaz/status/2039963758790156555 https://github.com/Mattbusel/srfm-lab/blob/c55a82754b31246664b1def452f3d261b0a5fa77/docs/guides/local_rag_setup.md https://github.com/safishamsi/graphify https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ https://www.youtube.com/watch?v=7xTGNNLPyMI https://www.youtube.com/watch?v=EWvNQjAaOHw https://www.youtube.com/watch?v=zjkBMFhNj_g https://karpathy.ai/ https://github.com/wendeus0/LLM-knowledge-base https://github.com/forrestchang/andrej-karpathy-skills https://github.com/safishamsi/graphify https://gist.github.com/rohitg00/2067ab416f7bbe447c1977edaaa681e2
Stanford CS230: Deep Learning I Autumn 2025
Stanford CS230: Deep Learning I Autumn 2025
Local models
SDD
https://glaucia86.github.io/palestra-sdd/?lang=pt-BR#/capa
IA
https://adventures.nodeland.dev/archive/the-economics-of-judgment/?ref=dailydev https://adventures.nodeland.dev/archive/the-human-in-the-loop/?utm_source=nodeland&utm_medium=email&utm_campaign=the-economics-of-judgment https://adventures.nodeland.dev/archive/the-future-of-the-software-engineering-career/?utm_source=nodeland&utm_medium=email&utm_campaign=the-economics-of-judgment
Carreira
https://github.com/santifer/career-ops
MCP Apps
https://blog.modelcontextprotocol.io/posts/2026-01-26-mcp-apps/ https://workos.com/blog/2026-01-27-mcp-apps
AI Tools
https://zed.dev/ https://thoughtminds.ai/blog/mastering-google-antigravity-and-claude-code https://www.augmentcode.com/tools/google-antigravity-vs-claude-code https://www.youtube.com/watch?v=Lk50aQMA_dk https://github.com/nexu-io/open-design https://forgecode.dev/ https://github.com/VectifyAI/OpenKB https://github.com/shanraisshan/claude-code-best-practice https://github.com/FlorianBruniaux/claude-code-ultimate-guide https://github.com/shareAI-lab/learn-claude-code