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59-page playbook documenting how we built a production B2B SaaS using 4 autonomous Claude Code agents — 96 Jira stories, 3 sprints, 0 human code. Includes all 4 CLAUDE.md templates, tmux scripts, PM2 config, Jira story templates, and the complete honest case study with every failure and every fix. €70,500 human team vs €95 AI agents. Same output. Built by REBORN Technologies Ltd.
Hey Product Hunt! 👋
We are the team at REBORN Technologies Ltd and we are excited
to share The Multi-Agent SaaS Playbook today.
A few months ago we asked a simple question: what if the entire
engineering team was AI?
Not AI-assisted. Not AI autocomplete.
Four fully autonomous Claude Code agents, each owning a
distinct layer of the stack, working in parallel.
Sofia owned the frontend — 33 stories.
Lucas owned the backend — 39 stories.
Aria owned the AI layer — 9 stories.
Marco owned QA and security — 8 stories.
They communicated through Git commits, file locks, and a
shared PROGRESS.md. They never talked to each other directly.
96 stories later — the product was live in production.
This playbook is the complete documentation of that process.
Every template, every script, every failure, every fix.
We are here all day to answer questions about:
→ How we structured the agent roles
→ What CLAUDE.md files actually look like
→ How we handled rate limits and conflicts
→ The communication patterns between agents
→ How to start your first multi-agent project
Ask us anything. 🤖
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About The Multi-Agent SaaS Playbook on Product Hunt
“Build a full SaaS with 4 AI agents. No Human code ”
The Multi-Agent SaaS Playbook was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #89 on the daily leaderboard. 59-page playbook documenting how we built a production B2B SaaS using 4 autonomous Claude Code agents — 96 Jira stories, 3 sprints, 0 human code. Includes all 4 CLAUDE.md templates, tmux scripts, PM2 config, Jira story templates, and the complete honest case study with every failure and every fix. €70,500 human team vs €95 AI agents. Same output. Built by REBORN Technologies Ltd.
The Multi-Agent SaaS Playbook was featured in SaaS (41.7k followers), Developer Tools (511.7k followers) and Artificial Intelligence (467.3k followers) on Product Hunt. Together, these topics include over 198.5k products, making this a competitive space to launch in.
Who hunted The Multi-Agent SaaS Playbook?
The Multi-Agent SaaS Playbook was hunted by Hichem Brh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Hichem Brh