Best coding agent courses
How do coding agents use tools and tests?
They inspect files, edit code, run commands, interpret failures, and revise the patch. Good courses show that loop with real test output rather than only generating code in a bl...
Learnetto AI directory
Find the best AI educators, resources, and learning paths.
A compact directory for people who want practical AI skills and up-to-date official docs: prompting, automation, coding agents, MCP, model selection, AI product work, RAG, evals, model internals, and production AI engineering.
183 educators
12 learning paths
10 agent tools
36 AI answers
612 resources
Latest · OpenAI DevDay 2026
Everything OpenAI announced at DevDay 2026
A verified guide to all 29 announcements, led by GPT-6.1 Sol, Dots, Codex updates, agent infrastructure, ChatGPT Space, and the new OpenAI Marketplace.
AI Q&A
Answers to common AI learning questions
Short, crawlable answers connected to fuller guides, educators, docs, courses, and videos.
Best coding agent courses
What should developers learn before relying on coding agents?
Learn how to scope tasks, provide repo context, protect unrelated changes, review diffs, and run verification. The agent can write code, but the developer still owns correctness.
Best Claude Code courses and tutorials
What is the best Claude Code course?
The DeepLearning.AI Claude Code course is a useful structured start. Pair it with Anthropic's official docs and real feature-build walkthroughs so you learn current behavior and...
Best Claude Code courses and tutorials
How do I learn Claude Code for a real codebase?
Start with a small real task, let Claude Code inspect the repo, ask for a plan, review the diff, and run tests. That teaches the workflow better than a toy app demo.
Best Claude Code courses and tutorials
What should a Claude Code tutorial show?
It should show setup, context gathering, edits, command output, failing tests, review, and final verification. If it never opens a diff, it is not teaching the full engineering ...
Best AI resources for model release notes and migrations
Which AI release notes should I actually follow?
Follow the official changelog or release-note page for every provider you actively use, plus its deprecations or shutdown page if available. OpenAI, Anthropic, Gemini, DeepSeek,...
Recently added
Daily new AI learning picks
New directory additions across educator videos, newsletters, social feeds, official model docs, agents, coding tools, and model-selection references. Today's selection: Oct 1, 2026.
Choose how to scan the same daily picks: keep the current layout, mix formats, or read it like a feed.
Tabular foundation model explainer
NVIDIA
NVIDIA Kumo Tabular explained
NVIDIA released Kumo Tabular on September 29, 2026. Use this guide to understand its in-context prediction workflow, reproduce a baseline, and test its vendor-reported results on your own tables.
kumo tabular
tabular foundation models
classification
Model migration explainer
Anthropic
Claude Sonnet 5.5 explained
Anthropic released Claude Sonnet 5.5 on September 28, 2026. Use this guide to understand the efficiency claims, breaking API changes, and a safe migration test from Sonnet 5.
claude sonnet 5.5
claude code
coding agents
Reasoning-efficient coding model explainer
Fireworks AI
Ember-1 explained
Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload.
ember-1
kimi k3
reasoning models
Coding agent evaluation guide
Google Developers Blog
The Anatomy of Harness Engineering
You want Google's September 9, 2026 guide to evaluating coding agents with small behavioral checks, outcome-based assertions, and batch runs that catch regressions without treating a single benchmark score as the whole story.
coding agents
evals
behavioral evaluations
Agent security architecture guide
Meta AI
How Meta built safety into Muse
You want Meta's September 8, 2026 technical account of defense-in-depth for a long-running personal agent, including isolated runtime cells, credential surrogates, a separate permission authority, tainted-egress tracking, scoped approvals, browser controls, red teaming, and prompt-injection evals.
meta
muse
agent security
Coding agent workflow release notes
Qwen
Qwen Code September 10 weekly update
You want Qwen Code's September 10, 2026 update on workflow run history, agent and token observability, context-usage inspection, combining Plan with YOLO mode, and named parallel channel tasks in isolated workspaces.
qwen code
coding agents
workflow observability
Model launch and selection guide
Google AI
Gemini 3.8 Flash launch
You want Google's September 2, 2026 launch details for Gemini 3.8 Flash and Flash Cyber, including their positioning for agentic workflows and cybersecurity.
google
gemini
frontier models
Agent security architecture guide
Anthropic
Enterprise Frontier Safeguards
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
anthropic
ai safety
enterprise
MCP gateway launch explainer
Google Cloud
Google Cloud API Gateway MCP explained
Google announced API Gateway MCP support on September 24, 2026. Use this explainer to assess the request flow, security boundary, preview limits, and a safe first rollout.
mcp
model context protocol
api gateway
►
Video · Metics Media
How to Build Your First AI Agent in 10 Minutes (No Code)
Use this for a current no-code agent build aimed at operators who need a fast first workflow.
Tabular foundation model explainer · NVIDIA
NVIDIA Kumo Tabular explained
NVIDIA released Kumo Tabular on September 29, 2026. Use this guide to understand its in-context prediction workflow, reproduce a baseline, and test its vendor-reported results on your own tables.
kumo tabular
tabular foundation models
classification
regression
Model migration explainer · Anthropic
Claude Sonnet 5.5 explained
Anthropic released Claude Sonnet 5.5 on September 28, 2026. Use this guide to understand the efficiency claims, breaking API changes, and a safe migration test from Sonnet 5.
claude sonnet 5.5
claude code
coding agents
model migration
►
Video · Fireship
Google's AI endgame is here... everything you missed at I/O 2026
Use this as a fast technical recap of Google I/O 2026 and the Gemini-era product/model changes worth tracking.
Reasoning-efficient coding model explainer · Fireworks AI
Ember-1 explained
Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload.
ember-1
kimi k3
reasoning models
reasoning tokens
Coding agent evaluation guide · Google Developers Blog
The Anatomy of Harness Engineering
You want Google's September 9, 2026 guide to evaluating coding agents with small behavioral checks, outcome-based assertions, and batch runs that catch regressions without treating a single benchmark score as the whole story.
coding agents
evals
behavioral evaluations
regression testing
►
Video · Peter Yang
How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins
Use this for current product-team examples of agent-ready APIs, Claude Code context systems, MCP choices, and OpenAI vs Anthropic adoption.
Agent security architecture guide · Meta AI
How Meta built safety into Muse
You want Meta's September 8, 2026 technical account of defense-in-depth for a long-running personal agent, including isolated runtime cells, credential surrogates, a separate permission authority, tainted-egress tracking, scoped approvals, browser controls, red teaming, and prompt-injection evals.
meta
muse
agent security
prompt injection
Coding agent workflow release notes · Qwen
Qwen Code September 10 weekly update
You want Qwen Code's September 10, 2026 update on workflow run history, agent and token observability, context-usage inspection, combining Plan with YOLO mode, and named parallel channel tasks in isolated workspaces.
qwen code
coding agents
workflow observability
context management
Model launch and selection guide · Google AI
Gemini 3.8 Flash launch
You want Google's September 2, 2026 launch details for Gemini 3.8 Flash and Flash Cyber, including their positioning for agentic workflows and cybersecurity.
google
gemini
frontier models
agentic workflows
Agent security architecture guide · Anthropic
Enterprise Frontier Safeguards
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
anthropic
ai safety
enterprise
privacy
VID
Metics Media posted a video pick
2026 · ai agents · no-code
How to Build Your First AI Agent in 10 Minutes (No Code)
Use this for a current no-code agent build aimed at operators who need a fast first workflow.
N
NVIDIA added tabular foundation model explainer
NVIDIA Kumo Tabular explained
NVIDIA released Kumo Tabular on September 29, 2026. Use this guide to understand its in-context prediction workflow, reproduce a baseline, and test its vendor-reported results on your own tables.
kumo tabular
tabular foundation models
classification
regression
A
Anthropic added model migration explainer
Claude Sonnet 5.5 explained
Anthropic released Claude Sonnet 5.5 on September 28, 2026. Use this guide to understand the efficiency claims, breaking API changes, and a safe migration test from Sonnet 5.
claude sonnet 5.5
claude code
coding agents
model migration
VID
Fireship posted a video pick
2026 · gemini · frontier models
Google's AI endgame is here... everything you missed at I/O 2026
Use this as a fast technical recap of Google I/O 2026 and the Gemini-era product/model changes worth tracking.
F
Fireworks AI added reasoning-efficient coding model explainer
Ember-1 explained
Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload.
ember-1
kimi k3
reasoning models
reasoning tokens
G
Google Developers Blog added coding agent evaluation guide
The Anatomy of Harness Engineering
You want Google's September 9, 2026 guide to evaluating coding agents with small behavioral checks, outcome-based assertions, and batch runs that catch regressions without treating a single benchmark score as the whole story.
coding agents
evals
behavioral evaluations
regression testing
VID
Peter Yang posted a video pick
2026 · ai agents · claude code
How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins
Use this for current product-team examples of agent-ready APIs, Claude Code context systems, MCP choices, and OpenAI vs Anthropic adoption.
M
Meta AI added agent security architecture guide
How Meta built safety into Muse
You want Meta's September 8, 2026 technical account of defense-in-depth for a long-running personal agent, including isolated runtime cells, credential surrogates, a separate permission authority, tainted-egress tracking, scoped approvals, browser controls, red teaming, and prompt-injection evals.
meta
muse
agent security
prompt injection
Q
Qwen added coding agent workflow release notes
Qwen Code September 10 weekly update
You want Qwen Code's September 10, 2026 update on workflow run history, agent and token observability, context-usage inspection, combining Plan with YOLO mode, and named parallel channel tasks in isolated workspaces.
qwen code
coding agents
workflow observability
context management
G
Google AI added model launch and selection guide
Gemini 3.8 Flash launch
You want Google's September 2, 2026 launch details for Gemini 3.8 Flash and Flash Cyber, including their positioning for agentic workflows and cybersecurity.
google
gemini
frontier models
agentic workflows
A
Anthropic added agent security architecture guide
Enterprise Frontier Safeguards
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
anthropic
ai safety
enterprise
privacy
AI video library
Watch first
Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.
►
AI-First Playbook: Do a Team's Work With AI (2026) | Peter Yang
Silicon Valley Girl · 2026, ai adoption, business workflows
►
Code with Claude London 2026: Opening Keynote
Claude · 2026, claude code, coding agents
►
The Agentic Engineer Workflow You Need In 2026
Zen van Riel · 2026, agentic engineering, claude code
►
How to Build Your First AI Agent in 10 Minutes (No Code)
Metics Media · 2026, ai agents, no-code
►
Google's AI endgame is here... everything you missed at I/O 2026
Fireship · 2026, gemini, frontier models
►
How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins
Peter Yang · 2026, ai agents, claude code
New directory
AI skills, agent harnesses, and worker tools
Find reusable skill registries, local agent harnesses, and AI worker products before choosing what to learn or buy.
AI coworker
Viktor
Viktor · Slack and Teams AI employee
Use this when the adoption surface should be chat-native and team-facing rather than a separate automation builder.
AI assistant builder
Lindy
Lindy · AI executive assistant
Use this when the job is business admin across apps rather than custom coding or local agent infrastructure.
Skill marketplace
ClawHub
OpenClaw · Registry
Use this when you need a public registry for OpenClaw skills and plugins rather than hand-copying skill folders.
Agent orchestration
Mission Control
Builderz Labs · Open-source dashboard
Use this when the hard part is seeing, assigning, and coordinating agent work rather than writing another prompt.
AI worker platform
Mission Control AI
Mission Control AI · Preconfigured AI workers
Use this when you want role-specific AI workers with SOPs, integrations, and governance policies already built in.
Skill system
OpenClaw Skills
OpenClaw · Official docs
Use this to understand the OpenClaw skill format: markdown instruction files in directories with SKILL.md frontmatter and tool-use guidance.
Educators to start with
Sorted for range: founders, product teams, developers, evals, model internals, and production systems.
| Educator | Best for | Skills | Start with |
|---|---|---|---|
| Business owners, solopreneurs, professionals | AI productivity, ChatGPT, Business workflows, Prompting | Use the Skool start-here path and apply one workflow to sales, content, research, or admin work. | |
| Entrepreneurs and personal development learners | AI productivity, Business growth, Mindset, Prompting | Use the community's beginner material to connect AI habits with a specific business or personal productivity outcome. | |
| Course creators, coaches, entrepreneurs | AI productivity, Creator businesses, Offers, Business workflows | Start with the community basics and map one AI-assisted workflow to your offer, audience, or content plan. | |
| Marketers, creators, small business owners | AI marketing, Campaign systems, Content workflows, Customer acquisition | Join the community and rebuild one campaign workflow using AI for research, drafts, and measurement. | |
| Women entrepreneurs, local service owners, marketers | AI marketing, Canva, Flyers, Client attraction | Begin with the free prompts and 7-day marketing jumpstart, then make one real flyer or client-attraction asset. | |
| Indie founders, product builders | Founder workflows, Product ops, Automation | Read the public notes and examples before deciding whether the paid material matches your business. | |
| Founders, service business owners | Founder workflows, Systems, Automation | Look for workflow breakdowns and implementation examples. | |
| Product managers, founders | Product strategy, Writing, AI adoption | Review the Maven syllabus and compare it to your current product workflow. | |
| Product teams, founders | Product, Growth, Team adoption | Browse the How I AI interviews and copy the workflows that match your role. | |
| Knowledge workers, educators, leaders | AI literacy, Workplace adoption, Strategy | Read recent essays on using AI as a collaborator and on organizational adoption. | |
| Developers, AI engineers | AI engineering, Agents, Developer tools | Watch AI Engineer talks for production patterns and tool choices. | |
| Everyone from beginners to builders | Prompting, Agents, RAG, ML foundations | Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course. |
Choose by skill
Use these as quick routes into the directory.
Evals and reliability
Useful for: AI product teams
Learn: Test sets; Human review; Regression checks; Quality metrics
Resources: Hamel Husain , Shreya Shankar , Chip Huyen
Model internals
Useful for: Engineers who want deeper understanding
Learn: Neural nets from scratch; Transformers; Training loops; Fine-tuning basics
Resources: Andrej Karpathy , Sebastian Raschka , Jay Alammar
Production AI engineering
Useful for: Engineering teams
Learn: Observability; Cost and latency; Deployment; Data pipelines
Resources: Full Stack Deep Learning , Chip Huyen , Eugene Yan
Strategy and adoption
Useful for: Leaders, managers, founders
Learn: Team habits; Org workflows; Policy; Change management
Resources: Ethan Mollick , Lenny Rachitsky , Latent Space
Frontier models and model selection
Useful for: Builders choosing between Claude, GPT, Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, Perplexity, and hosted open models
Learn: When to use Claude or GPT-class reasoning models for complex coding, analysis, and long-horizon agent work; How Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, and Perplexity differ by modality, openness, retrieval, coding, and price; Context windows, output limits, latency, pricing, tool support, and eval-based routing; How to migrate safely when frontier model versions change
Resources: Anthropic , OpenAI , Google AI for Developers , Meta Llama , Mistral AI , Cohere , DeepSeek , Qwen , xAI , Perplexity , Together AI , OpenRouter , Simon Willison
AI foundations
Useful for: Everyone
Learn: What LLMs can and cannot do; Tokens, context windows, hallucinations; Privacy and data handling
Resources: DeepLearning.AI , Learn Prompting , Ethan Mollick
Prompting and writing
Useful for: Writers, operators, PMs, founders
Learn: Clear task framing; Examples and constraints; Editing, synthesis, and critique loops
Resources: Learn Prompting , DAIR.AI , Peter Yang
Automation and agents
Useful for: Founders, operations teams, developers
Learn: Trigger-based workflows; Tool calling; Agent failure modes; Human review points
Resources: Brian Casel , Josh Pigford , AI Engineer
Resources worth opening
A rotating mix of official docs, hands-on guides, model catalogs, and practical AI engineering resources.
| Resource | Type | Level | Use when |
|---|---|---|---|
|
OpenAI model guide
OpenAI
|
Model docs | Beginner to advanced | You need to choose between current GPT-5.6 variants, smaller GPT-5.4 variants, reasoning levels, tool support, and cost-sensitive API paths, including the current default starting points of GPT-5.6 Sol, Terra, and Luna. |
|
Claude Code skills
Anthropic
|
Guide | Intermediate | You want Anthropic's official guide for packaging reusable Claude Code skills instead of leaving long instructions inline in every session. |
|
Awesome Agent Skills
VoltAgent
|
GitHub repo | Intermediate | You want a larger, current catalog of real-world agent skills that can be studied, adapted, and compared across Claude Code, Codex, Gemini CLI, Cursor, and similar tools. |
|
Mistral models overview
Mistral AI
|
Model docs | Beginner to advanced | You need to compare current Mistral families such as Devstral, Magistral, Voxtral, OCR, and general-purpose models. |
|
MCP: Build Rich-Context AI Apps with Anthropic
DeepLearning.AI
|
Short course | Intermediate | You want a hands-on MCP course for connecting tools, context, and Claude-powered apps. |
|
xAI Grok 4.6
xAI
|
Model docs | Intermediate | You want the official xAI page for the current flagship Grok model before comparing it with Claude, GPT, Gemini, or routed alternatives. |
|
Ember-1 explained
Fireworks AI
|
Reasoning-efficient coding model explainer | Intermediate to advanced | Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload. |
|
Gemini coding agents with MCP and Skills
Google AI for Developers
|
Guide | Intermediate | You want the newest official Gemini guide for wiring docs MCP, installable skills, and coding-agent best practices into software workflows. |