# I don't know if this page explains why the product exists > Source: > Published: 2026-10-26 09:17:33+00:00 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: 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. These cookies are essential in order to use the website and use its features. 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. EmailEmail me 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?