what if you could
build anything?

You don't need to know how to code to start. Open a terminal, install one tool, and build a real web app — using AI agents to write every line. By the end, you'll have a live project on the internet you built with your brain and an AI's hands.

Your AI coding agent is running at 30% capacity. This course installs Everything Claude Code — 28 agents, 125 skills, 60 commands — and teaches you to use rules, hooks, subagents, MCPs, and token optimization to ship 10x faster.

Stop writing code and start writing specs. Learn to describe exactly what you want in a structured format that AI agents execute perfectly — frontend, backend, and tests in parallel. Ship features the same day you think of them.

Skills are the Cambrian explosion of software engineering. Learn to build SKILL.md files, custom subagents, rules, hooks, and slash commands that make your AI harness uniquely powerful. Auto-generate skills from git history and evolve them with instinct-based learning.

Build a self-running software factory using the Minimum Viable Factory. Set up Linear as your dashboard, connect 6 agent stages (PM, Architect, Dev, Review, Test, Deploy), and watch a ticket turn into a deployed web app — automatically.

Go beyond single-agent workflows. Build parallel agent fleets, LangGraph DAGs, merge queues, custom MCP servers, and Docker-isolated devboxes. Learn from Stripe Minions, Gas Town, and Karpathy's auto-research to design production multi-agent systems.

Your factory works. Now make it production-ready. Deep dive into AgentShield security scanning (102 rules, red-team pipeline), LangSmith tracing, cost tracking, audit logging, Kubernetes scaling, and closed-loop self-improving automation.

You don't need to know how to code to start. Open a terminal, install one tool, and build a real web app — using AI agents to write every line. By the end, you'll have a live project on the internet you built with your brain and an AI's hands.

For CTOs, engineering managers, and team leads. Learn how to restructure teams into builder pods, measure factory output instead of story points, invest in skills as competitive moat, and create a culture where 5 people ship what 50 used to.

The framework that powers Tesla Autopilot, Meta AI, and most ML research. Start with tensors, build CNNs and Transformers from scratch, then deploy your model as a production API. Every lesson has a hands-on notebook.

Google builds more ML infrastructure than anyone. Learn TensorFlow + Keras for production, JAX for research-speed training, TPUs for scale, and Vertex AI for deployment. Plus the Gemini API for multi-modal AI.

Meta has open-sourced more AI than any company: Llama, FAISS, SAM, Detectron2. Learn to run LLMs locally, fine-tune with LoRA, build vector search, and deploy RAG pipelines — all with zero API costs. Plus Microsoft ONNX, Hugging Face, and MLflow.

You don't need to train models — you need to design the systems that train, serve, monitor, and scale them. GPU infrastructure, cost optimization, model serving patterns, ML CI/CD, security, team topology, and incident response. The system design interview for ML, but practical.

The skills every AI engineer needs: retrieval-augmented generation, vector databases, embedding pipelines, multi-step agents, and function calling. Build a production RAG app from scratch with evaluation and monitoring.

AI apps break differently than traditional software. Learn prompt version control, LLM evaluation pipelines, tracing with LangSmith and Langfuse, hallucination monitoring, and cost optimization through caching and model routing. Ship an AI ops dashboard.

From Docker containers to Kubernetes orchestration, GitHub Actions CI/CD to canary deployments. Plus the engineering practices that make teams fast: trunk-based development, feature flags, SLOs, and blameless post-mortems.

The decisions that matter most are the ones that are expensive to change. Learn monolith vs microservices, SOLID, DDD, event-driven architecture, CQRS, API design, database architecture, caching, and security. Write ADRs that future you will thank you for.

Build a complete SaaS from zero: React, Next.js, TypeScript, Prisma, PostgreSQL, NextAuth, Stripe payments, transactional email, Tailwind + shadcn/ui, testing with Vitest + Playwright, and deploy to Vercel. Every lesson ships something real.

The business knowledge every technical founder needs. Customer discovery, business models, unit economics, pricing, competitive analysis, legal basics, and fundraising. End with a one-page business plan for your idea.

Stop building things nobody wants. Learn the Build-Measure-Learn loop, MVP strategies, smoke tests, A/B testing, and how to know when you've hit product-market fit. Run a complete validation sprint in one week.

Design isn't about making things pretty — it's about making things obvious. Learn user research, wireframing, visual design, component systems, responsive layouts, usability testing, and accessibility. No design background needed.

Marketing for people who'd rather build than market. Use AI to generate content, optimize landing pages, write email sequences, and run growth experiments. Build a complete growth engine that runs on autopilot.

Sales isn't about pitching — it's about finding people with the problem you solve. Learn outbound prospecting with AI, lead magnets, discovery calls, product demos, objection handling, CRM setup, and sales automation. Build a complete sales machine.