Build Your Team of Autonomous Agents with Claude Code
Jules Boiteux
Ex-PM turned AI-Native Product Builder
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The future of Product Building is a team of agents. Learn to build yours.
🚨 Save 25% with this link
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The next level of mastering Claude Code.
You already know how to drive Claude Code from discovery to delivery (typically from Claude Code for Product Managers: From Beginner to Advanced): you prompt it, with your skills, MCPs and artifacts set up.
But it only works when you are there. How do you make it run on its own, so your product improves while you are with customers, stakeholders, or asleep?
Part of your job is now managing a team of autonomous agents while you focus elsewhere. One sizes a feature request's business opportunity. One turns a bug into a pull request. One turns a feature into a prototype and tests it with an agent that plays your persona.
In 4 sessions of 1.5 hours, you build and maintain that team, on a real-life example (as a PM at Excalidraw) or on your own.
Autonomous does not mean unsupervised. You still review what matters. The rest, agents review each other, in agent loops and agent graphs, a check at each step.
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📚 Lifetime access to recordings and future cohorts
🙋 Weekly office hours for assignments and Q&A
👥 A private Slack channel
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Questions? jules@vibecodingacademy.ai
What you’ll learn
By the end, you run a team of agents that work on your product while you spend time where you add value: customers, tests, stakeholders.
What an autonomous agent is made of, and what makes it safe to run
A recap of skills, subagents and custom commands
A recap of routines and the @Claude tag, the two ways to launch an agent
An agent that writes your daily brief every day while you sleep
A swarm that takes a feature request to a tested prototype, ready to hand over
A team that turns a bug into a pull request during your customer call
Why an agent never hands over without a written bar to clear
An agent loop: retries until a check passes. An agent graph: agents hand over
Where you close the loop yourself, and where agents close it for you
Why a persona agent is the right first user to confront a prototype
How to feed it: interviews, support tickets, usage data, your own notes
Where to plug it in: the last gate before a prototype is handed over
How to package skills, subagents and commands into one plugin
How to publish a marketplace and update it in one command
A live check: a teammate installs it on a second machine
Learn directly from Jules
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Jules Boiteux
Former Senior Product Manager, now founder of Vibe Coding Academy & AI educator
Who this course is for
Product Managers and Product Owners steering toward the AI-native Product Builder role. You'll learn to run a team of agents on your work.
Product Designers and Software Engineers who want to become AI-native Product Builders. You'll learn to turn ideas into PRs and prototypes.
Leaders and Heads of Product who manage AI-native Product Builders. You'll learn which gates to set, what to review, what agents decide.
Prerequisites
You already master the Claude Code basics
Typically you took my beginner PM course. If not: you use Claude Code every week, connect it to tools via MCP and can set up a skill.
A Claude plan, GitHub, Slack and a laptop
Claude Pro or higher, a free GitHub account, a Slack workspace where you can add Claude (I cover the fallback), and a laptop. No coding.
No codebase of your own needed
We work on a fork of Excalidraw and its real GitHub issues, so you bring nothing. Every agent maps to your own repo when you are ready.
What's included
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Live sessions
Learn directly from Jules Boiteux in a real-time, interactive format.
Lifetime access to recordings, slides and the resources doc
Every deck, plus the resources doc with ready-to-use prompts and step-by-step process instructions for each session.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
4 Office Hours, one after each session
A 30-minute live office hour on the Friday after each session. Bring the agent that broke, the gate that lets everything through, or the routine that never fired, and we fix it together on screen.
Lifetime access to future cohorts
Join any future cohort of this course at no extra cost, and go back to the recordings whenever you need to.
Personal review of your assignments
Jules reviews your assignment after each session and sends you written feedback.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
7 live sessions • 22 lessons • 4 projects
Week 1
Nov
18
Session 1 - Advanced Claude Code for Product Builders
Your Daily Brief, Written While You Sleep
Nov
20
[Optional] Office hour - Session 1
Week 2
Nov
25
Session 2 - Advanced Claude Code for Product Builders
A Slack Bug Becomes a Pull Request, Your First Agent Loop
Nov
27
[Optional] Office hour - Session 2
Schedule
Live sessions
2 hrs / week
Includes an optional 30 min Office Hour
Wed, Nov 18
5:00 PM—6:30 PM (UTC)
Fri, Nov 20
4:00 AM—4:30 AM (UTC)
Wed, Nov 25
5:00 PM—6:30 PM (UTC)
Projects
1-2 hrs / week
After each session, an assignment applies what you built to your own product, or to the Excalidraw fork: your brief running three mornings in a row, a bug from Slack to PR, a request through the whole graph, your plugin installed by a teammate. Optional, but this is where it sticks. Jules reviews every submission and sends written feedback.
Async content
1 hr / week
Every session is recorded. Rewatch the replay when you want to review a concept from class, redo a build step at your own pace, or catch up on a session you missed. Optional: about 30 minutes a week, depending on how much you want to revisit.
Frequently asked questions
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Reimbursement
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A dedicated cohort with a custom schedule and curriculum, tailored to your team.
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USD