Build with any LLM on the tech stack you trust, including:
Base UI
Zod
Why it matters
What does 3 months of architectural drift actually cost you?
When you code with LLMs that suffer amnesia after every session, you aren’t building an app. You’re building a house of cards. The worst part? It looks fine. Until the day it doesn’t. And by then, the decay runs deeper than you want to admit.
Building with AI on a self-correcting foundation
You start a new session. The AI picks up exactly where you left off.
You check the plan, not every line. 3 minutes, not 3 hours
Six months in, you can still open any file and understand it.
You’re not afraid of your own codebase
Ship. Again.
You start a new project
Building with AI on any other codebase
AI invents plausible-but-wrong patterns AI code contradicts itself — and keeps going
More energy spent reviewing AI code than time saved writing it
A codebase that ‘works’ but you’re too scared to touch
Start again
Decision-making compounds
You start a new project
Building with AI on any other codebase
AI invents plausible-but-wrong patterns AI code contradicts itself — and keeps going
More energy spent reviewing AI code than time saved writing it
A codebase that ‘works’ but you’re too scared to touch
Building with AI on a self-correcting foundation
You start a new session. The AI picks up exactly where you left off.
You check the plan, not every line. 3 minutes, not 3 hours
Six months in, you can still open any file and understand it.
You’re not afraid of your own codebase
Start again
Decision-making compounds
Ship. Again.
Meet Durabl
The only codebase engineered for how AI coding tools actually work
Other boilerplates hand you a static template and hope for the best. Durabl ships with the persistent context your AI needs to build correctly — today and 6 months from now.
Production-ready codebase
Start with every hard decision already made
Built on React Router. Three concepts: , action, component. That's the entire model. Fewer abstractions. Fewer things AI can get wrong. Full SSR, file-based routing, and typed data — built on web standards like Request and Response, not proprietary APIs. Deploy anywhere, no vendor lock-in.
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Persistent AI context
Give your AI the correct context. Every session. Every task.
AI forgets your app — and you can’t fit your entire codebase into a context window. Durabl ships a knowledge system with a single entry point. Your AI knows what to read before planning, what to understand before building, and where to find the relevant docs. So you can build fast, knowing your code will work.
AI instruction files
AI instruction files (CONTEXT.md) act as your AI's entry point into your project. Whatever AI tool you use, simply add one line to your config file pointing at CONTEXT.md, and your AI has all the context it needs to keep your code consistent.
Documentation files
Documentation files store the rules, rationale, and trade-offs that span your codebase. Your AI coding tool consults the relevant docs before modifying a file.
Inline comments
Inline comments embed the logic behind hyper-local decisions in the code itself. So instead of “improving” your decisions, AI preserves the behavior you prefer.
const event = awaitgetStripeEvent(request, stripe) // verifies the signature
// Stripe delivers at-least-once: a retry or network blip means the
// same event.id can arrive twice. Without this guard, a duplicate
// 'checkout.session.completed' double-applies the subscription.
if (awaiteventAlreadyHandled(event.id)) returndata({}, { status: 200 })
switch (event.type) {
case'checkout.session.completed': {
const session = event.data.object
awaitupdateSubscriptionByUserId(session /* … */)
returndata({}, { status: 200 })
}
}
}
Docs entry
Index
CONTEXT.md
Entry point
Payments
Architecture
Webhooks
Patterns
Testing
Conventions
ADR-005
Why Stripe
Background
Jobs
UI
Components
Monitoring
Setup
Built-in AI skills
AI that plans, tests, and self-corrects.
By default, AI assistants only do what you type. No testing. Missed edge cases. And fixing bugs is all on you. Building with Durabl is different. When you create new features, AI will load the right skills for each phase of work. Automatically.
You don’t need to configure a thing.
What is an AI skill in Durabl?
Better input. Better output. Zero extra work.
Durabl’s skills are Markdown files that give your AI expert-level instructions for a specific task. Readable, editable, and version-controlled. Giving you senior–dev standard prompting — even if you’re not a prompt engineer.
Durabl’s growing library of AI skills includes:
Plan
Define intended state → map current-to-intended → surface hidden assumptions → validate with developer
Implement
Execute plan → check off items → review code → write tests
Validate
Run ESLint → type check → format → commit → push → wait for CI
Bug-squash
On any failure, re-enter the full cycle: re-plan → re-implement → re-validate Expand docs
Write decisions back into your docs → your AI gets smarter with every feature
Most AI tools treat your conversations as disposable. With Durabl, every plan is stored as a file in your repo. So if your laptop dies or you close the wrong window, nothing is lost. Start a new session, say "continue," and the AI picks up exactly where you left off. No re-explaining. No lost context. No starting over.
AI skills don't run in sequence — they compose.
Plan
Done
Define intended state → map current-intended → surface hidden assumptions → validate with developer
Implement
Done
Execute plan → check off items → review code → write tests
Validate
Running
Run ESLint → type check → format → commit → push → wait for CI
Done
Self-correcting workflows for new features
Your AI loads the planning skill, surfaces every hidden assumption, and waits for your sign-off — before writing a line of code. Once you approve, implementation and validation skills take over automatically. No manual handoffs.
Plan
Done
Define intended state → map current-intended → validate with developer
Implement
Done
Execute plan → check off items → review code → write tests
Validate
Fail
Run ESLint → type check → format → fail
Check failed - bug squash activates
Re-plan
Diagnose failure → update plan
Re-implement
Apply fix → update plan
Re-validate
Run checks again
All checks pass - exit loop
Done
Debugging that doesn’t stop until the result is clean
When a check fails — and it will — the bug-squashing skill kicks in, cycling back through planning, implementation, and validation. It keeps going until every check passes. You don't intervene. You don't re-explain. It just works.
See how it works
See how Durabl prevents your codebase decaying over time
Watch a real-life example of AI following a project's patterns, not inventing its own.
AI Integrations
Maintain consistent code with any AI
Copilot
Cursor AI
Claude
Devin Desktop
Gemini
ChatGPT
Premium code quality
Find a bug? Claim your bounty.
Some boilerplates are notorious for security issues. We’re so confident in Durabl’s codebase that if you find any vulnerability — we’ll literally pay you for it.
I’ve built more than 100 software applications over 20+ years, working with clients including Monster Energy and NBC News.
Over the last 2 years, I kept seeing the same failure pattern play out. AI generates code fast. But it has no memory between sessions. Codebases degrade. Entropy compounds until the whole thing becomes unmaintainable.
Correctness, not speed, is now the biggest bottleneck.
Every boilerplate I looked at was solving the old problem: save time on setup. So I built a codebase that solves the new one: keeping code correct as AI builds at velocity.
I use it for every new project. It's the foundation I wish I'd had 2 years ago.
Testimonials
What devs say about Durabl
“As a seasoned developer, I’ve spent countless hours wrestling with infrastructure, best practices, and endless decisions. It’s exhausting. With Durabl, I had a production-ready app and staging environment set up in 10 minutes. Unreal. Where has this been all my life?”
“I used to spend a lot of time setting up everything, the environments, deploying, choosing the tools that I wanted to use. With Durabl, I can spend time building and not setting up. I’m really excited to use it more, to build new products and to launch it fast.”
“Durabl saved me a lot of time and work that I would have spent designing components that could be reused. Now I can focus more on the software architecture and commercial aspects of our products.”
“I had an excellent experience using Durabl, especially as someone new to working with React Router. The comprehensive documentation that comes with it made getting up to speed easy.”
No vendor lock-in. Switch vendors with a single line of code
Guarantee
90-day satisfaction guarantee
We’re confident your app will stay maintainable over time with Durabl. Not so after 90 days? You get your money back — no questions asked.
(OK, maybe some questions. But only to improve our product.)
SATISFACTION
90-day
GUARANTEE
Pricing
Start building on a codebase you can still maintain after 3 months
449€
349€
Special launch discount
One-time fee 90-day satisfaction guarantee
INCLUDES
Production-ready React Router framework
Resend email integration
Stripe payments integration
OAuth authentication integration
SQLite & PostgreSQL database integration
SEO-optimized
Complete UI library with Tailwind CSS & shadcn/ui
Production-ready CI/CD workflow
Vitest & Playwright testing integrations
Sentry & Grafana monitoring integration
Google Analytics (GA4) & Microsoft Clarity integration
Persistent AI context
Built-in AI error correction
Customer support via GitHub/email
Lifetime access to updates
Start Building with Durabl
Not ready yet? Get an email when Durabl changes.
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Frequently asked questions
Got questions?
We have answers.
What is a boilerplate?
A boilerplate is a starting state for a software project. It encodes decisions — architecture, tooling, patterns, conventions — so you don’t start from zero. The value is: decisions already made, correctly.
How is Durabl different from other boilerplates?
Why should I buy a codebase when so many are free?
Won’t codebases like Durabl become irrelevant as AI improves?
Can’t I just add AI governance files to my existing project?
I have different tools in my tech stack. Can I still use Durabl?
How do I get access to the Durabl codebase?
How fast can I set up an app with Durabl?
Where is Durabl deployed to?
Are there any 3rd party costs associated with using Durabl?