# AI Builder Club

> Learn AI coding, build agents & LLM apps. Free courses on using AI at work, plus a paid community for builders.

## What is AI Builder Club?

AI Builder Club is a community and learning platform for ambitious professionals and developers who want to use AI to work smarter and build AI-powered applications. Founded by AI Jason, we offer free courses (blog), paid courses, and a builder community.

## Free Blog: Courses, News, and Builder Stories

Our blog publishes free, in-depth guides on using AI tools at work. Categories: courses (how-to guides), news (industry updates), and builder stories. All guides below, newest first:

- [Jev Engineering: LLM Writes, Jev Decides, Code Acts [2026]](https://www.aibuilderclub.com/blog/jev-engineering-guide): Jev engineering from a real production harness: a Claude Code guard hook, a model router, a 10-minute log cron with cost receipts, and when not to use Jev.
- [B2B Lead Generation in Claude Code: A Real Run (2026)](https://www.aibuilderclub.com/blog/b2b-lead-generation-claude-code): How to build a B2B lead list in Claude Code: the setup, the exact prompt, a real 20-company run with per-step providers and prices ($0.36 total), the funnel from 20 companies to 3 catch-all addresses the verifier could not confirm, what leaked and why, and how to turn the run into a reusable skill.
- [GTM Engineering: What GTM Engineers Build in 2026](https://www.aibuilderclub.com/blog/gtm-engineering-guide): GTM engineering explained from the build side: the four systems every GTM engineer owns (data, orchestration, agents, execution), a lead-list workflow you can run from a terminal with real costs, what the role pays, and why Clay power users moved to Claude Code and then back.
- [Grok Bot for GTM and Sales: The Working Setup (2026)](https://www.aibuilderclub.com/blog/grok-bot-for-gtm): How GTM teams actually run Grok Bot: the SpaceXAI insider's ten-Bot roster, the two Bots to build first, the prospecting and lead-finding mechanics with receipts, the approval rules that keep it safe, and what a sales pod costs.
- [Grok Bot Pricing 2026: Plans, Usage Limits, Free Trial, Platforms](https://www.aibuilderclub.com/blog/grok-bot-pricing): Every plan that includes Grok Bot after the August 26 expansion (from 20 dollars a month), how the weekly usage meter and on-demand billing work, the free trial's catch, which platforms exist (no Android yet), and the documented tactics for stretching your limits.
- [Grok Bot Templates (2026): How to Share, Install, and Vet Them](https://www.aibuilderclub.com/blog/grok-bot-templates): Grok Bot templates shipped August 28. What a template contains and what it leaves behind, how to publish one without leaking secrets, how to install a third-party Bot safely, the templates builders are sharing, and the prompt-style templates that predate the feature.
- [Graph Engineering Explained: Control Graphs, LLM as Graph vs Code as Graph](https://www.aibuilderclub.com/blog/control-graph-llm-as-graph-vs-code-as-graph): The three things people mean by 'graph engineering', which one Peter Steinberger meant, and the two ways to actually build a control graph - as code, or as a skill the model follows. With two of my own graphs from production.
- [How to Use Grok Bot: The Practical Guide (2026)](https://www.aibuilderclub.com/blog/grok-bot-guide): Grok Bot setup, the chief-of-staff pattern, use cases with a published source ledger, and the documented tactics for managing its usage limits.
- [Grok Bot vs Building Your Own AI Employee](https://www.aibuilderclub.com/blog/grok-bot-vs-building-your-own): Buy the always-on agent team, build it yourself, or take the open-source middle path with OpenBot. How to decide, with the receipts on each side.
- [Grok Bot vs Claude Tag: The Real Differences](https://www.aibuilderclub.com/blog/grok-bot-vs-claude-tag): Both let you message an AI teammate. One lives in its own app with its own computer; one lives in Slack on your org's balance. Which fits which team.
- [How to Build an AI Team (Coordinator + Specialists)](https://www.aibuilderclub.com/blog/how-to-build-an-ai-team): One coordinator, specialist agents, shared memory, quality gates, humans at the edge: our synthesis of the 2026 AI-team accounts, and the build order we use.
- [How to Build Your Own Grok Bot (Open Source or DIY)](https://www.aibuilderclub.com/blog/how-to-build-your-own-grok-bot): SpaceXAI documents no self-hosted Grok Bot, but its anatomy is buildable: OpenBot for the coworker surface, or agent loops for the working parts.
- [AI-Native vs AI-Enabled: The Real Difference (2026)](https://www.aibuilderclub.com/blog/ai-native-vs-ai-enabled): AI-enabled means AI helps with the work. AI-native means the work stops without it. The operational test, what each looks like in practice, and how to move.
- [Anthropic Agents That Run for Days: What's Real](https://www.aibuilderclub.com/blog/anthropic-agents-that-run-for-days): The viral 'Anthropic graph engineering' posts point at a real workshop that never says graph once. What it actually teaches about agents that run for days.
- [Compound Engineering in Claude Code: Operator's Guide](https://www.aibuilderclub.com/blog/compound-engineering-claude-code): How to actually run Every's compound engineering in Claude Code: the plugin's commands, the six-stage ladder, the 50/50 rule, and what to check before trusting it.
- [Compound Engineering vs Loop Engineering](https://www.aibuilderclub.com/blog/compound-engineering-vs-loop-engineering): Compound engineering makes each unit of work teach the next one. Loop engineering makes a recurring job run itself. How Every's cycle and agent loops fit.
- [What Is a Forward Deployed Engineer? The 2026 Guide](https://www.aibuilderclub.com/blog/forward-deployed-engineer-guide): A forward deployed engineer ships working AI systems inside a customer's company. What FDEs actually do, real salary signals, and how builders get the job.
- [Google Graph Engineering: The Course Claim and What's Real](https://www.aibuilderclub.com/blog/google-graph-engineering): Did Google release a free graph engineering course? No. What the viral posts leave out, and the graph workflows Google actually shipped in ADK 2.0.
- [AI Agent ROI: I Audited My 30+ Loop Fleet to Find Out](https://www.aibuilderclub.com/blog/ai-agent-roi): AI agent ROI, measured on a real fleet: 25 production loops audited on landed outcomes, not runs. The costs, the failures, and the 3-column audit to copy.
- [Agents Went Rogue. Here's the Practical Security Checklist Every Builder Needs](https://www.aibuilderclub.com/blog/agent-security-checklist-for-builders): The UK's AI Security Institute confirmed rogue agent incidents. Zenity raised $125M to solve this. Here is the practical 5-question audit and checklist every builder deploying AI agents needs right now.
- [How to Use Claude Code for Team Development: Parallel Sessions, Agent Teams, and Shared Configuration](https://www.aibuilderclub.com/blog/claude-code-for-teams-guide): Learn how engineering teams use Claude Code together in 2026: shared CLAUDE.md configuration, git worktrees for parallel isolation, the new experimental Agent Teams feature, and best practices for managing token costs at team scale.
- [Context Engineering for AI Agents: The Complete Developer Guide](https://www.aibuilderclub.com/blog/context-engineering-guide): Context engineering is replacing prompt engineering as the core skill for building AI agents. This guide explains why context is a finite resource, how context rot degrades agent performance, and gives you the practical techniques -- compaction, structured note-taking, just-in-time retrieval, and sub-agent architectures -- to build agents that stay sharp across long tasks.
- [YC QM Agent Harness: A Source-Code Read](https://www.aibuilderclub.com/blog/yc-qm-agent-harness-source-read): We read YC's open-source QM harness. Twice as much code governs scope as drives the model. The memory format, the egress proxy, and the limits in SECURITY.md.
- [Cursor Automations: Build Always-On Agents for Your Codebase](https://www.aibuilderclub.com/blog/cursor-automations-guide): Cursor Automations let you run cloud agents on a schedule or in response to events such as a merged PR, a Slack message, a Sentry error, or a Linear issue. This guide covers how automations work, the five trigger types, four workflows you can ship in under 30 minutes, and the prompting patterns that make automated agents reliable.
- [Andrej Karpathy and Graph Engineering: What's Actually Real](https://www.aibuilderclub.com/blog/graph-engineering-karpathy-loop): A viral post says two Anthropic seniors made Andrej Karpathy's loop 1000x better with graph engineering. The 11-page PDF's own cover disclaims both names.
- [Andrew Ng's Agentic Patterns, Mapped to Graph Engineering](https://www.aibuilderclub.com/blog/andrew-ng-loop-to-graph-engineering): Andrew Ng named reflection, tool use, planning, and multi-agent collaboration as agentic design patterns. Our mapping of the four onto graph engineering.
- [MCP Servers in Cursor: The 6 That Actually Change How You Build](https://www.aibuilderclub.com/blog/mcp-servers-cursor-guide): Cursor's AI agent is powerful on its own. Connected to MCP servers, it can query your database, search the web, automate your browser, and push GitHub issues without leaving your editor. This guide covers the 6 MCP servers that deliver the biggest workflow improvement for AI builders, with ready-to-paste configs.
- [July 2026 AI Tool Security Timeline: 4 Disclosures in 15 Days](https://www.aibuilderclub.com/blog/agent-security-crisis-4-incidents-threat-model): A primary-source timeline of four July 2026 AI tool security disclosures: AgentForger, GhostApproval, Azure DevOps MCP, and Cursor's git.exe path-resolution flaw.
- [Agent Tool Permissions: Test That Your Deny Rules Hold (2026)](https://www.aibuilderclub.com/blog/agent-tool-permissions-canary): A read-only agent ran rm -rf. Deny one tool and the agent reaches for another. A canary suite that requires a runtime refusal before it says a deny held.
- [How to Build an SEO Agent Loop (2026)](https://www.aibuilderclub.com/blog/ai-agent-seo-loop): The four loop roles, the emerging-term wedge with our own numbers, and the rank-monitoring rule that scores the daily series and refuses a trailing average. From a fleet running it daily.
- [Social Media Agent Loops: A Cold-Start Playbook (2026)](https://www.aibuilderclub.com/blog/ai-agent-social-loop): Seven social loops on one fleet, four of them reaching a live account unattended, what each has measurably earned, the channel we judged not worth cold-commenting on, and an account gate that closes the race a ledger read cannot.
- [Peter Steinberger's Loops or Graphs Tweet (2026)](https://www.aibuilderclub.com/blog/graph-engineering-peter-steinberger): Peter Steinberger's July 18 tweet did not coin graph engineering. It amplified an existing phrase. See the first four days of the July 2026 wave.
- [Who Owns Your AI Agents? A Registry, a Runbook and an Honest Score (2026)](https://www.aibuilderclub.com/blog/who-owns-your-ai-agents): An operator on his own nightly agent: it has probably been fine, I do not know that it has been fine, which is a different sentence. A fillable agent registry, an offboarding runbook, and our own fleet scored against both.
- [AI Agent Runaway Cost: Why Your Bill Is Wrong (2026)](https://www.aibuilderclub.com/blog/ai-agent-runaway-cost): Runs that record no price, a run log that caps its own window, and subagent fan-out that outruns you. A reconciliation script that refuses to print a total it cannot stand behind, plus the agent file that stops the spawn.
- [How to Become an AI-Native Company (2026)](https://www.aibuilderclub.com/blog/how-to-become-an-ai-native-company): The operations playbook for going AI-native: which loop to build first, what earns autonomy next, and what breaks. From a team running it in production.
- [How to Review AI-Generated Pull Requests (2026)](https://www.aibuilderclub.com/blog/reviewing-ai-generated-pull-requests): The review packet, the AI_POLICY.md, and the three machine gates that run before a human sees the diff. Three artifacts you can put in the repo on Monday.
- [Building with Cursor Part 2 of 3: Context Management for Large Codebases](https://www.aibuilderclub.com/blog/building-with-cursor-part-2): As your codebase grows, Cursor's automatic context becomes less precise. This guide covers the modern .cursor/rules/ directory system, @file/@folder/@codebase/@docs references, Plan Mode, and parallel agents. These techniques keep Cursor accurate when you have hundreds of files to manage.
- [Graph Engineering with Claude Code: Anthropic's Agent Graph](https://www.aibuilderclub.com/blog/graph-engineering-with-claude-code): You do not need a Python framework. Anthropic's Claude Code already ships the graph engineering primitives: subagents as nodes, an orchestrator, shared state.
- [Orchestrator-Worker Agents: The Sidekick Paradigm](https://www.aibuilderclub.com/blog/orchestrator-worker-sidekick-paradigm): Stop burning your frontier-model quota. Use a strong model to plan and a cheaper model to execute - the orchestrator-worker 'sidekick' pattern that cuts AI coding cost ~80% without losing quality.
- [Graph vs Loop: When AI Agents Need Loops vs Graphs](https://www.aibuilderclub.com/blog/agent-graph-vs-loop-when-to-use): Loops vs graphs for AI agents: when a single loop is enough, when to wire a multi-node agent graph, and what reaching for a graph too early costs you.
- [The 5 Layers of AI Engineering](https://www.aibuilderclub.com/blog/five-layers-ai-engineering): Prompt, context, harness, loop, graph: the five layers of engineering the system around an AI model. A clean table, plus a diagnostic for which layer is your bottleneck right now.
- [Graph Engineering Guide (2026)](https://www.aibuilderclub.com/blog/graph-engineering-guide-2026): Graph engineering: the 2026 shift from a single agent loop to a multi-node agent graph. What it is, loops vs graphs, Google ADK, real skill or rebrand?
- [Graph Engineering vs Loop Engineering](https://www.aibuilderclub.com/blog/graph-engineering-vs-loop-engineering): Loop engineering vs graph engineering: what genuinely changed, what's a rebrand, and a gut check to tell whether you actually switched paradigms.
- [Is Graph Engineering Just LangGraph? LangGraph vs AutoGen vs Google ADK](https://www.aibuilderclub.com/blog/is-graph-engineering-just-langgraph): Graph engineering names a pattern; LangGraph, Microsoft AutoGen, and Google ADK implement it. What each framework does and when to pick which.
- [Karpathy's LOOPS.md: The Rules and What's Verified (2026)](https://www.aibuilderclub.com/blog/loops-md-karpathy): A LOOPS.md file with nine rules for agents that run for days is circulating as Andrej Karpathy's. Here's what it says, why the advice is solid loop engineering, and what we could actually verify about the attribution.
- [Pi Agent Extensions: Change the Harness, Not Just the Prompt (2026)](https://www.aibuilderclub.com/blog/pi-agent-extensions-guide): Pi ships 4 tools and nothing else. Everything past that is an extension - in-process TypeScript that can register tools, rewrite context, and redraw the UI. Here's what that buys you over hooks, and the one thing I got wrong about hooks.
- [Self-Improving Agent Loops: The Evolve Run (2026)](https://www.aibuilderclub.com/blog/self-improving-agent-loops): A self-improving agent loop rewrites its own contract, state, and triggers. What we learned running evolve runs in production for a month, and the one rule that stops busywork.
- [Addy Osmani's Loop Engineering: The 5 Components](https://www.aibuilderclub.com/blog/loop-engineering-addy-osmani): Addy Osmani's June 2026 essay named loop engineering. The five components, the three debts, and his July follow-up rule: agents run the inner loop - you own the outer.
- [Loop Engineering Case Study: 30 Days of Real Data (2026)](https://www.aibuilderclub.com/blog/loop-engineering-case-study): An agent loop flagged 'loop engineering' as a trend, another loop wrote the articles, and GSC verified. 30 days, 57,470 impressions - every number published.
- [The 4 Types of Agentic Loops (Turn, Goal, Time, Proactive)](https://www.aibuilderclub.com/blog/types-of-agentic-loops): Every agent loop hands off a different part of the cycle: tool approval, the stop condition, or the trigger. A field guide to the four agentic loop types and when to use each.
- [Loop Engineering, Karpathy-Style: The Gen-Verify Loop](https://www.aibuilderclub.com/blog/loop-engineering-karpathy): Karpathy named loop engineering's core mechanic years before the term existed: keep the AI on a leash and speed up the generation-verification loop. Here's how to apply it.
- [Loop Engineering: The Anthropic Playbook](https://www.aibuilderclub.com/blog/loop-engineering-anthropic-playbook): Anthropic now says 'loop engineering' out loud: an official loops post plus the engineering essays behind it. The full playbook, mapped move by move.
- [Codebase Memory MCP: Give Your Coding Agent a Map (2026)](https://www.aibuilderclub.com/blog/codebase-memory-mcp-guide): Codebase Memory MCP turns your repo into a code graph agents can follow: 158 languages, sub-ms queries, half the tokens per task. Setup + measured numbers.
- [Gemini 3 Tips: Unlock Its Hidden Power (2026 Guide)](https://www.aibuilderclub.com/blog/gemini-3-power-guide): Most people run Gemini 3 on defaults and get generic output. The thinking levels, prompting rules, and 4 specialization levers that actually move quality.
- [Vibe Design: The AI UI Workflow That Replaces Figma-First](https://www.aibuilderclub.com/blog/vibe-design-ai-ui-workflow): Vibe design swaps Figma-first for prompt-first: Nano Banana mockups, v0 in Cursor, Claude Designer, and vibe versioning in one end-to-end AI UI workflow.
- [WebMCP Tutorial: How Agents Use Websites as Tools](https://www.aibuilderclub.com/blog/webmcp-complete-guide): WebMCP lets your website expose functions as MCP-style tools to in-browser agents. The API, Chrome 149 origin trial, security risks, and how to try it.
- [Best AI Agent Communities in 2026 (Where Builders Are)](https://www.aibuilderclub.com/blog/best-ai-agent-communities-2026): The 7 best AI agent communities in 2026: Anthropic's Discord, Latent Space, r/AI_Agents, AI Builder Club, and more - ranked by production signal.
- [Best AI Agent Courses in 2026 (Free + Paid, Ranked by Goal)](https://www.aibuilderclub.com/blog/best-ai-agent-courses-2026): The 7 best AI agent courses in 2026, compared: Hugging Face's free course, Coursera, Udacity, DeepLearning.AI, LangChain Academy, and AI Builder Club.
- [Best AI Communities in 2026: The Complete Builder's Map](https://www.aibuilderclub.com/blog/best-ai-communities-2026): The builder's map of AI communities in 2026: Discord servers, Reddit subs, forums, and structured communities, organized by what you want to do.
- [Best Claude Code Courses in 2026 (Free + Paid, Compared)](https://www.aibuilderclub.com/blog/best-claude-code-courses-2026): The 6 best Claude Code courses in 2026, compared: Anthropic's free courses, the Coursera Vanderbilt course, AI Builder Club's Claude Code 101, and more.
- [Best Communities to Learn AI Coding in 2026 (Compared)](https://www.aibuilderclub.com/blog/best-communities-learn-ai-coding-2026): The 7 best communities to learn AI coding in 2026: Hugging Face Discord, r/ClaudeAI, DeepLearning.AI, AI Builder Club, Indie Hackers - matched to your goal.
- [Best Discord Servers for AI Builders in 2026 (Ranked)](https://www.aibuilderclub.com/blog/best-discord-servers-ai-builders-2026): The 6 best Discord servers for AI builders in 2026: Anthropic, OpenAI, Hugging Face, Latent Space, Cursor, and Ollama - compared by signal quality.
- [Best Reddit Communities for AI Builders in 2026 (Ranked)](https://www.aibuilderclub.com/blog/best-reddit-communities-ai-builders-2026): The 8 best subreddits for AI builders in 2026, ranked by signal: r/ClaudeAI, r/LocalLLaMA, r/ChatGPTCoding, r/AI_Agents, and more - with what each is good for.
- [Loop Engineering vs Harness Engineering: The Difference](https://www.aibuilderclub.com/blog/loop-engineering-vs-harness-engineering): Loop engineering decides what an agent does and when it stops; harness engineering decides where it runs. Which to build first.
- [AI Agent Reliability and Cost Control: Builder's Guide](https://www.aibuilderclub.com/blog/ai-agent-reliability-cost-control): Why AI agents burn money and produce garbage, and how to fix it: the reliability gap, where tokens leak, and 7 cost-control levers.
- [Crabbox: Cloud Sandboxes for Parallel Coding Agents](https://www.aibuilderclub.com/blog/crabbox-parallel-agent-sandboxes): Crabbox by Peter Steinberger gives each parallel coding agent an isolated cloud box to test in. Why the merge bottleneck is the real problem.
- [Andrej Karpathy's AI Engineering Playbook (2026)](https://www.aibuilderclub.com/blog/karpathy-ai-engineering-playbook): Every Karpathy framework for building with AI in one place: Software 3.0, agentic engineering, parallel agents, and the LLM Wiki.
- [Someone Open-Sourced an Entire AI Company: What It Means](https://www.aibuilderclub.com/blog/open-source-ai-company-multi-agent): A 147-agent open-source AI company repo hit 50K GitHub stars in two weeks. The real builder lesson and why most of these demos break.
- [OpenClaw: What It Is and How to Use It (2026 Guide)](https://www.aibuilderclub.com/blog/openclaw-guide-2026): OpenClaw is the self-hosted personal AI agent with 300K+ GitHub stars. How the local gateway works, its 50+ integrations, and how to start.
- [Claude Tag: What It Is and How to Use It in Slack](https://www.aibuilderclub.com/blog/what-is-claude-tag): Claude Tag is Anthropic's persistent AI teammate you @-mention in Slack. How it works, ambient mode, setup, pricing - and why 65% of Anthropic's own engineering PRs are opened by it.
- [Antigravity CLI (agy): Commands, Modes, and Auto-Approve](https://www.aibuilderclub.com/blog/antigravity-cli-guide): Antigravity CLI (agy) replaced Google's Gemini CLI. Install, slash commands, the three execution modes, and how auto-approve and YOLO mode actually work.
- [Codex CLI Guide (2026): How It Works, Costs, Models](https://www.aibuilderclub.com/blog/codex-cli-guide-2026): Codex CLI guide for Claude Code users: the auth fork that controls billing, the 2026 model decision tree, and when Codex actually wins.
- [Loop Engineering Guide (2026)](https://www.aibuilderclub.com/blog/loop-engineering-guide-2026): Loop engineering: the 2026 shift from prompting agents to designing their loops. Why the verifier is the bottleneck, plus a checklist.
- [Claude Code Dynamic Workflows: Orchestrate 1,000 Subagents](https://www.aibuilderclub.com/blog/claude-code-dynamic-workflows): Dynamic Workflows turn Claude Code's plan into a script running up to 1,000 subagents without flooding the lead's context. Setup and costs.
- [How to Evaluate AI Agents: What Works in 2026](https://www.aibuilderclub.com/blog/how-to-evaluate-ai-agents): Self-evaluation skews optimistic - Anthropic measured it. Generator-evaluator loops, trace debugging, eval sets from failures, and LLM-as-judge pitfalls.
- [RAG vs Long Context vs Fine-Tuning: When Each Wins](https://www.aibuilderclub.com/blog/rag-vs-long-context-vs-fine-tuning): The three ways to give an LLM your data, the modern RAG pipeline (hybrid retrieval, reranking, chunking), and why agentic retrieval is replacing fixed chunks.
- [Claude Fable 5: How to Use It and What's Different](https://www.aibuilderclub.com/blog/claude-fable-5-how-to-use-guide): Claude Fable 5 guide: how to access Anthropic's first Mythos-class model, real pricing, Fable vs Opus 4.8, and practical prompting tips.
- [Agent Memory Systems: The Complete Guide (2026)](https://www.aibuilderclub.com/blog/agent-memory-systems-guide): LLMs forget everything between sessions. The 3 memory types, the write-maintain-retrieve lifecycle, and MemGPT vs Mem0 vs Claude Code compared.
- [Plan vs Default vs Auto Mode: Coding Agent Trust Levels](https://www.aibuilderclub.com/blog/agent-modes-plan-default-auto): What each agent mode permits, Claude Code's Auto-mode safety classifier, and the gear-shifting workflow that beats picking one mode forever.
- [Agent Sandboxes: OS-Level Security for AI Agents (2026)](https://www.aibuilderclub.com/blog/agent-sandbox-os-level-security): A hijacked agent has your permissions. How sandboxes enforce filesystem and network walls - Seatbelt, bwrap, gVisor, Firecracker - and when you need each.
- [Claude Code Agent Teams: Setup, Costs, Workflows (2026)](https://www.aibuilderclub.com/blog/claude-code-agent-teams-guide): Run multiple Claude Code agents with messaging and a shared task list. Setup, the 3 scenarios where teams beat solo agents, and token cost control.
- [Claude Code for Data Scientists: the dataviz Skill + 35 More](https://www.aibuilderclub.com/blog/claude-code-for-data-scientists-skills-guide): Claude Code for data scientists: the built-in dataviz skill plus 35+ agent skills for pandas EDA, matplotlib, Streamlit dashboards, SQL, and Jupyter.
- [Claude Code DevOps Skills: 150+ for CI/CD & Kubernetes](https://www.aibuilderclub.com/blog/claude-code-for-devops-skills-guide): Claude Code for DevOps: 150+ agent skills for Docker, Kubernetes, Terraform, and GitHub Actions, with install commands and workflows.
- [Claude Marketing Skills: 32 Picks for Claude Code](https://www.aibuilderclub.com/blog/claude-code-for-growth-marketing-skills-guide): Explore 32 Claude marketing skills for CRO, copywriting, AI SEO, ads, emails, analytics, and more. Install the core collection for Claude Code.
- [Claude Code Sales Skills: The Complete Agent Stack](https://www.aibuilderclub.com/blog/claude-code-for-sales-skills-guide): Claude Code for sales: 60+ agent skills for cold outreach, CRM automation, competitive intel, and pipeline management, with install commands.
- [Claude Code for Solopreneurs: The 15-Skill Stack](https://www.aibuilderclub.com/blog/claude-code-for-solopreneurs-skills-guide): Claude Code for solopreneurs: the 15 agent skills that build a one-person startup ops stack, with install commands and stacking order.
- [Claude Code Hooks: Complete Guide with 7 Recipes (2026)](https://www.aibuilderclub.com/blog/claude-code-hooks-complete-guide): Make formatting, security, and quality gates fire 100% of the time. Lifecycle events, matchers, handler types, and 7 copy-paste Claude Code hook recipes.
- [TodoWrite vs Task in Claude Code: Which to Use When](https://www.aibuilderclub.com/blog/claude-code-todowrite-vs-task): Agents skip steps in long tasks. TodoWrite fixes it in-session; Task adds disk persistence, dependencies, and multi-session work. The decision rule.
- [Claude Code Worktrees: File Isolation for Parallel Agents](https://www.aibuilderclub.com/blog/claude-code-worktree-parallel-agents): Give every agent its own working directory with git worktrees - no write conflicts. The --worktree flag, .worktreeinclude config, and when to skip it.
- [Function Calling Explained: How LLMs Actually Use Tools](https://www.aibuilderclub.com/blog/function-calling-how-llms-use-tools): The model only outputs JSON - your code executes. Menu-order-serve mechanics, constrained decoding, and OpenAI vs Anthropic vs Gemini formats compared.
- [The 6 Components of a Production Agent Harness](https://www.aibuilderclub.com/blog/harness-six-components): Agent = Model + Harness. Context, tools, orchestration, state, evaluation, recovery - what each does and the failure you get without it.
- [MCP Internals: STDIO, SSE, and JSON-RPC Explained](https://www.aibuilderclub.com/blog/mcp-internals-client-server): What actually happens between MCP client and server: transport, message format, and the 6-step loop behind every tool call. Plus how to build a toy client.
- [MCP Security: 6 Attack Vectors and a 5-Step Audit](https://www.aibuilderclub.com/blog/mcp-security-attack-vectors): Tool poisoning, data exfiltration, rug pulls, cross-server hijacking - the 6 documented MCP attack patterns and the audit checklist that catches them.
- [Prompt vs Context vs Harness vs Loop Engineering: The 4 Shifts](https://www.aibuilderclub.com/blog/prompt-context-harness-evolution): AI engineering moved from prompts to context to harnesses to loops that run without you. What each layer solves and why each hit a ceiling.
- [Codex Skills: Sam Altman's Framework (2026)](https://www.aibuilderclub.com/blog/codex-skills-sam-altman-framework-2026): Codex Skills: Sam Altman says most Codex failures are context problems, not model problems. What Skills are and how to write your first one.
- [Karpathy's agents.md: What It Is and Why It Matters](https://www.aibuilderclub.com/blog/karpathy-agents-md-framework): Karpathy's agents.md doesn't exist yet, but people are searching for it. What it would contain, plus his four rules for production agents.
- [google/skills: Google's Official Agent Skills Library](https://www.aibuilderclub.com/blog/google-skills-official-agent-skills-library): Google launched an official Agent Skills repository: 12,200+ stars, Apache 2.0, covering BigQuery, Cloud Run, GKE, Firebase, and more.
- [last30days-skill: Real-Time Research for AI Agents](https://www.aibuilderclub.com/blog/last30days-skill-real-time-research): last30days-skill hit 34,700+ stars and #1 on GitHub trending. It turns any AI agent into a real-time research engine. How to install it.
- [Anthropic's 300+ Claude Code Skills: Lessons Learned](https://www.aibuilderclub.com/blog/agent-skills-best-practices-guide): Anthropic's internal playbook for building Claude Code Skills: the 9 types that work, folder structures that scale, and gotchas that prevent bugs.
- [Harness Engineering: What OpenAI and Anthropic Changed](https://www.aibuilderclub.com/blog/harness-engineering-agent-production-guide): Harness engineering for production agents: LangChain jumped 26% on Terminal Bench by changing only the harness. The 6-layer framework.
- [Deploy AI Agents to Production (AI Agents 101, Part 5)](https://www.aibuilderclub.com/blog/ai-agents-101-part-5): Final part of AI Agents 101: deploy agents with Docker, VPS vs serverless, structured logging, health checks, and cost controls.
- [Claude Code v2.1.157: Drop a SKILL.md, It Just Works](https://www.aibuilderclub.com/blog/claude-code-auto-load-skills-v2157): Claude Code v2.1.157 auto-loads skills and plugins from .claude/skills/ with no marketplace. Step-by-step setup and SKILL.md examples.
- [Hermes Agent: Self-Hosted AI That Never Forgets You (2026)](https://www.aibuilderclub.com/blog/hermes-nous-research-self-improving-agent): Hermes by Nous Research is a self-hosted agent with persistent memory, cron tasks, and self-improving skills. 175K stars in under 4 months.
- [How to Install MarkItDown in Claude Code and Claude Desktop (MCP Guide)](https://www.aibuilderclub.com/blog/markitdown-microsoft-convert-files-markdown-llm): Install Microsoft's MarkItDown MCP server in Claude Code with one command, or add it to Claude Desktop. Converts PDF, Word, Excel, and 12+ formats to clean Markdown for LLM pipelines.
- [Is Gemini CLI Deprecated? Shutdown Date and What to Use Now](https://www.aibuilderclub.com/blog/google-kills-gemini-cli-june-18-2026): Gemini CLI stopped serving free, Pro, and Ultra users on June 18, 2026. Who still has access, why it still works for some, and what to switch to.
- [Multi-Agent Orchestration Patterns (Agents 101, Part 4)](https://www.aibuilderclub.com/blog/ai-agents-101-part-4): Part 4 of AI Agents 101: three orchestration patterns that scale agents - pipeline, supervisor/worker, and fan-out - with Python code for each.
- [OpenCode vs Claude Code (2026): The Free Alternative](https://www.aibuilderclub.com/blog/opencode-vs-claude-code-2026): OpenCode vs Claude Code in 2026: what actually differs after OpenCode's Desktop v2 and background agents, and how to pick between them.
- [Claude Code Plugins: The Official Anthropic Library](https://www.aibuilderclub.com/blog/claude-code-plugins-official-library-2026): Anthropic open-sourced 11 production Claude Code plugins covering sales, legal, finance, and data. What is inside and how to install them.
- [Agentic Engineering: Karpathy's New Framework](https://www.aibuilderclub.com/blog/karpathy-agentic-engineering): Karpathy's agentic engineering framework from Sequoia Ascent 2026: spec design, diff review, eval loops, and where vibe coding ends.
- [Karpathy's Software 3.0: The Context Window Is Code](https://www.aibuilderclub.com/blog/karpathy-software-3-0): Karpathy's Software 3.0 framework: the context window is your program, the LLM is the interpreter. What that means for builders of AI products.
- [Karpathy's LLM Wiki: The Pattern and How to Build One](https://www.aibuilderclub.com/blog/karpathy-llm-wiki): Karpathy's LLM wiki pattern: instead of RAG, an LLM incrementally builds and maintains a persistent wiki. The architecture and how to start.
- [Claude Code for Startup Founders: Ship Your MVP Fast](https://www.aibuilderclub.com/blog/claude-code-for-startup-founders): Claude Code for startup founders: go from idea to working product in under a week without a CTO. The 5-day workflow and prompting patterns.
- [Gemini 3.5 Flash vs Claude Sonnet 5 (and Sonnet 4.6): Honest Comparison](https://www.aibuilderclub.com/blog/gemini-35-flash-vs-claude-sonnet-2026): Gemini 3.5 Flash vs Claude Sonnet 5 and Sonnet 4.6 for builders: price, context window, where Flash wins, where Claude leads, and a dual-model workflow. Updated for Sonnet 5.
- [Karpathy CLAUDE.md Rules: Cut Claude Errors 41% to 11%](https://www.aibuilderclub.com/blog/karpathy-claude-md-rules): Karpathy's 4 CLAUDE.md rules cut Claude's coding mistakes from 41% to 11%. Get the exact file, a 2-minute install, and 4 community fixes.
- [How to Run Parallel Claude Code Sessions Like Karpathy](https://www.aibuilderclub.com/blog/karpathy-parallel-agents-workflow): Karpathy runs multiple Claude Code sessions like a small engineering team. The exact 4-step setup, failure modes, and tech-lead mental model.
- [Your Job Will Change by 2027. Here's How to Come Out Ahead.](https://www.aibuilderclub.com/blog/ai-proof-your-career-2027): AI-proof your career: WEF projects a net loss of 14 million jobs through 2027. A 5-level roadmap to become an AI-native builder.
- [Google I/O 2026: What Every AI Builder Should Build Next](https://www.aibuilderclub.com/blog/google-io-2026-developer-recap): Google I/O 2026 recap for builders: Jules, ADK 1.0, Veo 3 in the API, and a 2M token Gemini model. What matters and what to do with it.
- [Fix AI Agent Memory Loss in 30 Seconds (agentmemory)](https://www.aibuilderclub.com/blog/ai-coding-agent-memory-agentmemory): agentmemory adds persistent memory to Claude Code, Cursor, and Windsurf via MCP. 30-second setup, 95.2% recall, ~$10/year.
- [Google Antigravity: Complete Guide to the Agent IDE](https://www.aibuilderclub.com/blog/google-antigravity-complete-guide): Google Antigravity is Google's free, agent-first IDE. How to install it, the browser agent, the agy CLI, and when it beats Claude Code.
- [Best AI Coding Agent 2026: Why Top Devs Run Two](https://www.aibuilderclub.com/blog/best-ai-coding-agent-2026): The best AI coding agent in 2026? We surveyed 40 engineers: 65% run two, not one. Get the decision framework, real costs, and fastest combo.
- [Lovable AI Review (2026): Honest Take After Real Use](https://www.aibuilderclub.com/blog/lovable-ai-review-2026): Lovable.dev review for 2026 after shipping production apps: pricing, the 80% problem, and when to graduate to Cursor or Claude Code.
- [AI Agents in 2026: Build, Deploy, and Scale (Full Guide)](https://www.aibuilderclub.com/blog/ai-agents): What AI agents are, how the agent loop works, frameworks vs raw API, memory, multi-agent systems, and MCP. The 2026 builder's roadmap.
- [Claude Code Tutorial for Beginners: Ship in 30 Minutes](https://www.aibuilderclub.com/blog/claude-code-tutorial-beginners): Claude Code tutorial for beginners: install, configure CLAUDE.md, run your first agent session, and ship a real feature in under 30 minutes.
- [Fan Out Sub-Agents in Claude Code for 3x Output](https://www.aibuilderclub.com/blog/claude-code-sub-agents-guide): Fan out sub-agents in Claude Code to run search, testing, and refactoring in parallel. The Task tool patterns and real workflows that 3x throughput without bloating context.
- [Reduce Claude Code API Costs: Cut Your Bill 73%](https://www.aibuilderclub.com/blog/reduce-claude-code-api-costs): Reduce Claude Code API costs: 7 strategies like model routing, prompt caching, and context pruning cut our bill from $480 to $128/month.
- [How to Build an AI Agent from Scratch in Python (2026)](https://www.aibuilderclub.com/blog/how-to-build-ai-agent-from-scratch): Build an AI agent from scratch in Python with no framework: the Anthropic SDK, a tool-use loop, and ~60 lines of code you fully control.
- [LangChain vs CrewAI vs Raw API: Honest Comparison](https://www.aibuilderclub.com/blog/langchain-vs-crewai-vs-raw-api): LangChain vs CrewAI vs the raw SDK: which should you build your AI agent on? An honest decision framework from shipping agents in all three.
- [Multi-Agent System Python Tutorial (2026)](https://www.aibuilderclub.com/blog/multi-agent-system-python-tutorial): Build a multi-agent system in Python: a coordinator delegates to specialized workers and handles failures. Complete code, no framework lock-in.
- [Claude Code: The Complete Free Course (2026)](https://www.aibuilderclub.com/blog/claude-code): The free Claude Code course: what it is, the full workflow, CLAUDE.md, hooks, sub-agents, and cost optimization across 18 structured lessons.
- [AI Agent Memory Across Sessions (Agents 101, Part 3)](https://www.aibuilderclub.com/blog/ai-agents-101-part-3): Part 3 of AI Agents 101: the three memory patterns every agent builder needs - in-context, external file, and vector database - in Python.
- [Prompt Engineering in 2026: Techniques That Work](https://www.aibuilderclub.com/blog/prompt-engineering-guide-2026): Prompt engineering is a learnable skill: chain-of-thought, structured outputs, role prompting, and patterns that work in Claude, GPT-4o, and Gemini.
- [The 5 Levels of AI Coding Agents Explained](https://www.aibuilderclub.com/blog/5-levels-of-coding-agents): The 5 levels of coding agents: Level 1 runs a linter, Level 5 ships features with no human in the loop. Real examples and tools at each stage.
- [MCP 101: Build Your First MCP Server (Step-by-Step)](https://www.aibuilderclub.com/blog/mcp-101-build-mcp-servers): MCP 101: the protocol that lets Claude, Cursor, and any LLM call your own tools and APIs. Build a real MCP server from scratch in Python.
- [AI Agent Tools in Python (AI Agents 101, Part 2)](https://www.aibuilderclub.com/blog/ai-agents-101-part-2): Part 2 of AI Agents 101: give your agent real tools - web search, code execution, file writing - plus error recovery. No frameworks needed.
- [Claude Code vs Cursor 2026: Which One for Your Workflow](https://www.aibuilderclub.com/blog/claude-code-vs-cursor-2026): After 3 months daily-driving both: Claude Code wins multi-file refactors, Cursor wins surgical edits. The decision framework and dual setup.
- [Claude Code Best Practices: 10 Prompting Patterns](https://www.aibuilderclub.com/blog/claude-code-best-practices-prompts): Most developers use Claude Code like a chatbot. Here are 10 prompting patterns — with real examples — that turn it into a 10x engineering force multiplier.
- [How to Build a Full SaaS App with Claude Code in a Weekend](https://www.aibuilderclub.com/blog/build-saas-claude-code-tutorial): Build a complete SaaS with Claude Code: auth, billing, dashboard, and deployment, step by step with real prompts and real output.
- [The CLAUDE.md Guide: Configure Claude Code for Any Project](https://www.aibuilderclub.com/blog/claude-md-configuration-guide): CLAUDE.md turns Claude Code from a generic AI into your project's AI. How to write one that improves output, with templates for every stack.
- [Claude Code for Frontend Developers: Build UIs 10x Faster](https://www.aibuilderclub.com/blog/claude-code-for-frontend-developers): Claude Code for frontend developers: build component libraries, refactor design systems, and ship responsive UIs, with real prompts.
- [Claude Code for Data Engineers: SQL, ETL, Debugging](https://www.aibuilderclub.com/blog/claude-code-for-data-engineers): Claude Code for data engineers: write SQL migrations, scaffold dbt models, build Airflow DAGs, and debug slow queries in your stack.
- [Claude Code for DevOps: Terraform, Actions, Docker](https://www.aibuilderclub.com/blog/claude-code-for-devops): Claude Code for DevOps: real examples of Terraform modules, GitHub Actions pipelines, Docker multi-stage builds, and incident runbooks.
- [Claude Code for API Development: Ship APIs Faster](https://www.aibuilderclub.com/blog/claude-code-for-api-development): Claude Code for API development: routes, validation, auth, error handling, rate limiting, docs, and tests from one prompt. Here's the playbook.
- [Claude Code for Sales Teams: 7 Time-Saving Workflows](https://www.aibuilderclub.com/blog/claude-code-for-sales-teams): Sales reps spend 70% of their time not selling. This guide covers 7 Claude Code workflows that automate prospecting, CRM hygiene, outreach, and forecasting.
- [What Is an AI Agent? (AI Agents 101, Part 1)](https://www.aibuilderclub.com/blog/ai-agents-101-part-1): AI agents 101: what an agent actually is, the four components every agent needs, and Python examples. Part 1 of a free 5-part course.
- [Idea to Paying Customers in 30 Days: The SaaS Playbook](https://www.aibuilderclub.com/blog/zero-to-saas-30-days): Indie hackers are shipping SaaS products in weeks using AI coding tools. The complete 30-day playbook from idea validation to first paying customer.
- [Vibe Coding Is Real: Non-Engineers Shipping Software](https://www.aibuilderclub.com/blog/vibe-coding-non-engineers): Vibe coding, coined by Andrej Karpathy, means building software by describing what you want. Non-engineers now ship real products. Here's how.
- [gstack: The Complete Course to Ship Like a Team, Solo](https://www.aibuilderclub.com/blog/gstack-complete-course): gstack turns Claude Code into a virtual engineering team with 23 specialist roles. Garry Tan's open-sourced AI workflow, explained.
- [How to Use Cursor IDE to Ship Code 10x Faster](https://www.aibuilderclub.com/blog/cursor-ai-ship-code-faster): Cursor IDE is the #1 AI code editor. The exact workflows, Tab, Cmd+K, Chat, Composer, and MCP, that let you ship production code 10x faster.
- [How to Analyze Any Dataset with AI — No Code Required](https://www.aibuilderclub.com/blog/ai-data-analysis-no-code): AI data analysis without code: turn spreadsheets into insights, charts, and summaries with ChatGPT, Claude, or Google Sheets. No Python, no SQL.
- [Gemma 4: Free Agentic AI on Your Laptop (Ollama Setup)](https://www.aibuilderclub.com/blog/gemma4-local-agents): Apache 2.0, native function calling, runs on Raspberry Pi to RTX 4090. Full Ollama setup guide with LangChain ReAct agent code.

## Paid Courses

### Claude Code 101: Ship Real Products with Claude Code
Build with Claude Code through guided labs: website development, full-stack apps with payments, and business automation workflows.

### AI Agent 101: Build Autonomous Research Agents
Build autonomous AI agents using agentic workflows, tool calls, web scraping, and deep search.

### Agent Engineering: Mastering AI Agents: The Builder's Deep Dive
Master the six pillars behind every production agent system, with research-backed lessons and real architecture teardowns of production agents built from scratch.

### OpenClaw 101: Deploy the Open-Source AI Agent Framework
Install, configure, and deploy OpenClaw, the open-source AI agent framework connecting any LLM to WhatsApp, Telegram, Slack, and 20+ messaging platforms.

### Agent Skills 101: Package Domain Expertise into Reusable Workflows
Install, create, and deploy Agent Skills, the open standard for packaging domain expertise into reusable workflows for Claude Code, Cursor, Codex, and 50+ AI agents.

### Model Context Protocol (MCP) 101: Build and Deploy MCP Servers
Build and test MCP servers using fastMCP, Claude, Cloudflare, and Stripe. Ideal for AI engineers and app builders.

### Build Production LLM Apps
Build production-ready LLM applications with real-time APIs, mobile inference, multimodal models, and agentic workflows.

### Prompt Engineering Masterclass
Prompt engineering from core techniques to system prompt design, including Chain of Thought and ReAct patterns.

### Build Cursor for X
Create custom AI-powered developer workflows using Cursor, Claude, and Vercel.

### Ultimate Cursor Courses
Use Cursor AI to build full-stack applications faster, for builders across technical skill levels.

### Web Scraping 101
Extract data using Playwright, XPath/CSS selectors, and LLMs, while avoiding anti-bot detection.

### Finetune and Deploy Your Own LLM
Fine-tune OpenAI models and deploy them via Modal, plus build Llama-based Slack agents.

### Coding 101: Launch Your First SaaS
HTML, CSS, and JavaScript fundamentals for complete beginners to build their first SaaS product.

## Community

- 1,000+ active builders
- Weekly live workshops
- Expert talks from industry leaders
- Private community for project feedback and code reviews

## Pricing

- Monthly: $37/month
- Annual: Available on pricing page

## Instructor

**AI Jason**, founder and lead instructor. YouTube creator (@AIJasonZ) sharing AI development tutorials.

## Links

- Website: https://www.aibuilderclub.com
- Blog: https://www.aibuilderclub.com/blog
- Courses: https://www.aibuilderclub.com/courses
- Pricing: https://www.aibuilderclub.com/pricing
- Twitter/X: https://x.com/jasonzhou1993
- YouTube: https://www.youtube.com/@AIJasonZ
- Sitemap: https://www.aibuilderclub.com/sitemap.xml