Agents & AI engineering for advanced learners
329 resources · page 9 of 11
Glama MCP servers
by Glama
Glama registry of open-source MCP servers, searchable by category and updated daily.
Grammarly AI
by Grammarly
Grammarly AI page describing its AI writing assistance features for work communication.
HeyGen Developers
by HeyGen
HeyGen API documentation for generating AI avatar videos, video translation and interactive avatar sessions.
How to Write a Good AI Prompt (Higgsfield)
by Higgsfield
Higgsfield help article on writing prompts for image and video generation, with examples.
HubSpot AI
by HubSpot
HubSpot AI page describing its agent platform for marketing, sales and customer service.
Kling AI app
Kling AI web app: workspace for generating videos, images, audio, avatars and effects with Kuaishou's Kling models.
Linear Docs
by Linear
Linear documentation: guide to the issue-tracking tool's features, including its AI and agent integrations.
Lovable Documentation
by Lovable
Lovable documentation: platform for building and deploying web apps from natural-language prompts.
n8n Docs
by n8n
n8n documentation: setting up n8n, building workflows and integrating apps.
n8n Integrations
by n8n
n8n integrations directory listing apps and services that can be connected in n8n workflows.
Notion AI
by Notion
Notion AI product page: search, generation, analysis and agents inside Notion.
Pipedream apps
by Pipedream
Pipedream apps directory: managed auth, actions, triggers and MCP tools for over 3,000 APIs.
Raycast store (AI extensions)
by Raycast
Raycast Store: directory of extensions for the Raycast launcher, including AI extensions.
Replit Docs
by Replit
Replit documentation for its browser IDE and AI agent that builds and deploys apps.
Welcome to Replit (Replit Docs)
by Replit
Replit documentation welcome page introducing its AI agent, workspace and deployment features.
RLHF Book (Nathan Lambert)
Nathan Lambert's free online RLHF book covering preference tuning, reward models, RLVR and post-training of language models.
Shopify Dev: AI and agents
by Shopify
Shopify documentation on exposing app data and actions to AI agents in the Shopify admin and beyond.
Supabase Docs: AI & Vectors
by Supabase
Supabase AI and vectors guide: storing embeddings and running vector search in Postgres with pgvector.
Webflow AI
by Webflow
Webflow AI page describing AI features of the Webflow website builder.
Whop Docs
by Whop
Whop developer documentation: API and SDKs for payments, payouts, identity verification and embedded checkout.
Get Started with Whop
by Whop
Whop getting-started documentation for selling digital products and memberships on the Whop platform.
Zapier app directory
by Zapier
Zapier app directory listing over 9,000 apps that can be connected in automated workflows.
Agent Skills specification
by Agent Skills
Agent Skills specification: format for SKILL.md skill directories, metadata and progressive disclosure of instructions.
aider docs: Edit formats
by Aider AI
Aider documentation on edit formats (whole, diff, udiff) and why different models need different formats.
aider docs: Repository map
by Aider AI
Aider documentation on its repository map, a concise tree-sitter summary of a codebase given to the LLM as context.
Anomalib
by Anomalib project (Open Edge Platform)
Anomalib documentation: deep-learning library of anomaly detection algorithms with training, benchmarking and deployment tools.
Building a C compiler with a team of parallel Claudes
by Anthropic
Anthropic engineering case study of building a C compiler with many Claude agents working in parallel.
A harness for every task: dynamic workflows in Claude Code
by Anthropic
Claude blog post on dynamic workflows in Claude Code, where it writes and orchestrates its own multi-agent harness.
Code Mode: the better way to use MCP (Cloudflare Blog)
by Cloudflare
Cloudflare post on Code Mode, where agents write TypeScript against MCP APIs instead of calling tools directly.
Don't Build Multi-Agents (Cognition)
by Cognition
Cognition post by Walden Yan arguing for shared context and single-threaded agents over naive multi-agent designs.
Multi-Agents: What's Actually Working (Cognition)
by Cognition
Cognition follow-up post on which multi-agent setups work in production and where single agents still fit.
Effective context engineering for AI agents (Anthropic)
by Anthropic
Anthropic post on context engineering for agents: treating context as finite, with compaction, memory and tool selection.