What SaaS Boilerplates Taught Us About Building the Agent-Era Equivalent

In 2020, every SaaS founder rebuilt the same four things before their product existed: auth, billing, a teams/permissions model, and a dashboard. Then paid boilerplates — ShipFast, Bullet Train, the T3 stack — collapsed those weeks into an afternoon, and a whole generation of profitable products shipped that otherwise wouldn't have. AI agents are at that exact pre-boilerplate moment right now, and the "boring 80%" that needs solving once is the production layer.

The pattern repeats every platform shift

It's not a coincidence — it's structural. Every new platform starts with everyone hand-rolling the undifferentiated infrastructure, because no shared solution exists yet. Then someone packages it, and the packaging becomes the default starting point:

Why the boilerplate business actually works

The instinct is that a boilerplate can't be a business — "it's just code, someone will copy it." ShipFast does over a million dollars a year and disproves that. The moat was never code secrecy. It's three things:

• Being first to own the category in search and mindshare — becoming the answer to "what should I start with."
• Update velocity — the platform moves fast, and buyers pay to not maintain the plumbing themselves.
• A source-available (not open source) license — buyers own and run and ship with the code, but can't resell it, which is what keeps updates funded instead of the repo getting cloned to death.

This is why agentFast is source-available, not MIT. MIT would let the first buyer legally re-upload the whole product — that's not caution, it's the difference between a business and a giveaway.

Why agents are a better boilerplate opportunity than SaaS was

The production layer for agents is more uniform across projects than SaaS auth and billing ever were. A support agent and a research agent share the same memory system, the same tracing, the same approval flow, the same eval harness — only tools and prompts differ. That means the boilerplate covers a larger fraction of the total work, so the value delivered per adoption is higher. The 80% is closer to 90%.

The moment is now, not later

The window on "first to own the category" is open for a matter of months, not years. Someone is going to be the ShipFast of AI agents. The playbook is known, the pattern has repeated three times, and the only variable is who executes it first and loudest.

That's the bet behind agentFast: the production layer, packaged once, sold as a product, shipped in public. If you've read this far and you build agents, you already know the tax we're talking about. agentFast is how we find out if enough other people are tired of paying it too.