Durabl is the only foundation built for developers that
corrects AI drift before it compounds into a void you can’t fix.
Buy once. Build forever.
90-day money-back guarantee.
Build with any LLM on the tech stack you trust, including:
Base UI
Zod
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.
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.
Built on React Router. Three concepts: loader, action, component. That's the entire model. Fewer abstractions. Fewer things AI can get wrong. Full SSR, file-based routing, and typed data loading — built on web standards like Request and Response, not proprietary APIs. Deploy anywhere, no vendor lock-in.
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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 (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 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 embed the logic behind hyper-local decisions in the code itself. So instead of “improving” your decisions, AI preserves the behavior you prefer.
stripe-webhook.ts
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// app/routes/api+/webhook.ts
export async function action({ request }: ActionFunctionArgs) {
const event = await getStripeEvent(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 (await eventAlreadyHandled(event.id)) return data({}, { status: 200 })
switch (event.type) {
case 'checkout.session.completed': {
const session = event.data.object
await updateSubscriptionByUserId(session /* … */)
return data({}, { 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
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.
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
# Add subscription billing [x] 1. Define Prisma schema for subscriptions [x] 2. Generate + run migration [x] 3. Build the Stripe webhook handler session interrupted [ ] 4. Add idempotency-key check [ ] 5. Write tests [ ] 6. Wire up the checkout page ↳ resuming from step 4 - 0 steps redone
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.
Plan
DoneDefine intended state → map current-intended → surface hidden assumptions → validate with developer
Implement
DoneExecute plan → check off items → review code → write tests
Validate
RunningRun ESLint → type check → format → commit → push → wait for CI
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
DoneDefine intended state → map current-intended → validate with developer
Implement
DoneExecute plan → check off items → review code → write tests
Validate
FailRun 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
DoneWhen 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.
Watch a real-life example of AI following a project's patterns, not inventing its own.
Copilot
Cursor AI
Claude
Devin Desktop
Gemini
ChatGPT
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.
Bug Bounty payouts tiered by severity. See all the details here
Verified
Severity: High
Bounty eligible
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.
“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?”
Software Engineer, MyForeverBooks
“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.”
Software Engineer, Buddiez
“Durabl is a super valuable tool! It saved me hours of setup time, letting me focus on the actual development instead of infrastructure headaches.”
Software Engineer, Microsoft
“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.”
@h4temsoliman
“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.”
Personalized customer support on GitHub and email
Lifetime access to updates and security patches
No vendor lock-in. Switch vendors with a single line of code
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
449€
349€
Special launch discountOne-time fee 90-day satisfaction guarantee
Production-ready React Router frameworkResend email integrationStripe payments integrationOAuth authentication integrationSQLite & PostgreSQL database integrationSEO-optimizedComplete UI library with Tailwind CSS & shadcn/uiProduction-ready CI/CD workflowVitest & Playwright testing integrationsSentry & Grafana monitoring integrationGoogle Analytics (GA4) & Microsoft Clarity integrationPersistent AI contextBuilt-in AI error correctionCustomer support via GitHub/emailLifetime access to updatesNot ready yet? Get an email when Durabl changes.
We have answers.
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.
