The self-correcting codebase for AI-assisted development

Building fast with
AI but drowning in technical debt?

Durabl is the only foundation built for developers that
corrects AI drift before it compounds into a void you can’t fix.

See how it works

Buy once. Build forever.
90-day money-back guarantee.

Durabl

Build with any LLM on the tech stack you trust, including:

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.

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.

UIDatabaseAuthPaymentsEmailsTestingCI/CDMonitoringSEOAnalytics

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.

Dig deeper in the docs

CONTEXT.md

Entry point

Docs entry

Index

Webhooks

Patterns

ADR-005

Why Stripe

Background

Jobs

Payments

Architecture

UI

Components

Testing

Conventions

Monitoring

Setup

// app/routes/api+/webhook.ts
export async function action() {
  const event = await getStripeEvent()
  if (await eventAlreadyHandled(event.id)) return
}

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

See the full skills list

project/plan.md

# 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

3/6 complete

Idempotent by design

Sessions crash.
Your work never does.

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

Windsurf

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.

Bug Bounty payouts tiered by severity. See all the details here

Verified

Severity: High

Bounty eligible

Creator Bio

Hey, I’m André.

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.

André Casal

Testimonials

What devs say about Durabl

“Testimonial with bolded words so that the most salient points pop. Use specificity to make your testimonials more believable and meaningful.”

John Doe

Job title, company

“Testimonial with bolded words so that the most salient points pop. Use specificity to make your testimonials more believable and meaningful.”

John Doe

Job title, company

“Testimonial with bolded words so that the most salient points pop. Use specificity to make your testimonials more believable and meaningful.”

John Doe

Job title, company

“Testimonial with bolded words so that the most salient points pop. Use specificity to make your testimonials more believable and meaningful.”

John Doe

Job title, company

“Testimonial with bolded words so that the most salient points pop. Use specificity to make your testimonials more believable and meaningful.”

John Doe

Job title, company

“Testimonial with bolded words so that the most salient points pop. Use specificity to make your testimonials more believable and meaningful.”

John Doe

Job title, company

“Testimonial with bolded words so that the most salient points pop. Use specificity to make your testimonials more believable and meaningful.”

John Doe

Job title, company

“Testimonial with bolded words so that the most salient points pop. Use specificity to make your testimonials more believable and meaningful.”

John Doe

Job title, company

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

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

349€

449€

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

Frequently asked questions

Got questions?

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.