Agents & AI engineering for intermediate learners
339 resources · page 9 of 11
Langfuse documentation
by Langfuse
Langfuse documentation: open-source tracing, evaluation and prompt management for LLM applications and agents.
LangGraph docs
by LangChain
LangGraph overview documentation: library for building stateful, graph-based agent workflows in Python.
Lelapa / Vulavula documentation
by Lelapa AI
Lelapa AI Vulavula documentation: speech-to-text and translation API for isiZulu, Sesotho, Afrikaans and other languages.
Agent Memory: How to Build Agents That Learn and Remember (Letta)
by Letta
Letta post on agent memory design: how stateful agents store, edit and retrieve memories, from the MemGPT team.
Linear Docs
by Linear
Linear documentation: guide to the issue-tracking tool's features, including its AI and agent integrations.
Linear Docs: Start Guide
by Linear
Linear start guide for setting up a workspace and working with teams and agents.
Linear Developers: Interaction Best Practices
by Linear
Linear developer guide on interaction best practices for agents that work inside Linear.
Llama Cookbook
by Meta Llama
Meta Llama Cookbook GitHub repo: recipes for Llama inference, fine-tuning, RAG and integrations.
Context Engineering Guide: Techniques for AI Agents (LlamaIndex)
by LlamaIndex
LlamaIndex guide to context engineering, covering memory, tool selection and context window techniques for agents.
Lovable Documentation
by Lovable
Lovable documentation: platform for building and deploying web apps from natural-language prompts.
Machine Learning Systems textbook
by Vijay Janapa Reddi (Harvard University)
Machine Learning Systems: open-access textbook on engineering ML systems, from foundations to hardware and deployment at scale.
Make developer documentation
by Make
Make developer hub with documentation for building custom apps and integrations on the Make automation platform.
Make AI Agent (New) best practices
by Make
Make Help Center best practices for designing AI agents: tools, prompts and testing.
Mastra documentation
by Mastra
Mastra documentation: TypeScript framework for building AI agents, workflows and applications.
MCP docs: Client best practices
MCP documentation on client best practices for surfacing tools and obtaining user consent.
Meta cookbooks
by Meta
Meta Model API cookbook: recipes for building on Meta's API and running Muse open-weight models locally.
Microsoft Agent Framework docs
by Microsoft
Microsoft Agent Framework documentation: building agents and multi-agent workflows in .NET, Python and Go, succeeding AutoGen and Semantic Kernel.
Mistral Cookbook
by Mistral AI
Mistral Cookbook GitHub repo: example notebooks for Mistral models and services from staff, community and partners.
n8n Docs: Advanced AI
by n8n
n8n documentation on AI workflows with LLM providers, agents, tools, memory and MCP servers.
n8n Docs
by n8n
n8n documentation: setting up n8n, building workflows and integrating apps.
AI Workflow Builder Best Practices (n8n)
by n8n
n8n post on best practices for its AI Workflow Builder, which turns natural-language prompts into workflows.
n8n Integrations
by n8n
n8n integrations directory listing apps and services that can be connected in n8n workflows.
How to write great AI prompts (Notion)
by Notion
Notion blog guide on writing effective AI prompts for non-engineers.
Notion AI
by Notion
Notion AI product page: search, generation, analysis and agents inside Notion.
Notion AI FAQs
by Notion
Notion Help Center FAQ explaining Notion AI features.
OpenAI Agents SDK guide
by OpenAI
OpenAI Agents SDK guide explaining how the SDK's agents, tools, handoffs and tracing fit together.
OpenAI Agents SDK (Python) docs site
by OpenAI
OpenAI Agents SDK Python documentation: agents, tools, handoffs, guardrails and tracing.
Build skills (ChatGPT Learn)
by OpenAI
OpenAI documentation on building skills that add capabilities to ChatGPT and Codex, following the Agent Skills format.
OpenAI Cookbook (developers.openai.com)
by OpenAI
OpenAI Cookbook on the developer site: runnable examples for APIs, agents, evaluation and multimodal workflows.
openai/openai-cookbook
by OpenAI
OpenAI Cookbook GitHub repo: example code and guides for common tasks with the OpenAI API.
Paperclip docs: Handling approvals
by Paperclip
Paperclip developer guide on handling human approvals for autonomous agents.
Phi Cookbook
by Microsoft
Microsoft Phi Cookbook GitHub repo: guides for deploying, fine-tuning and building apps with Phi small language models.