DEV Community: Shridhar G V

Building a Stripe-Driven Paywall with Webhooks

Shridhar G V — Tue, 01 Sep 2026 12:16:30 +0000

How I Created a Production-Ready App Using Drytis AI

As non-technical creators or entrepreneurs, turning an idea into a functional, revenue-generating product usually feels like running into a brick wall. We understand the user flow and business model, but setting up secure payment gateways, backend authentication, and real-time event hooks is a completely different ballgame.

When I needed to build a secure, subscriber-only paywall powered by Stripe, I didn't spend weeks learning backend frameworks or hiring an expensive software agency. Instead, I used Drytis AI Studio.

Here is the exact step-by-step breakdown of how I transformed a simple English idea into a fully deployed, production-ready paywall application.

Phase 1: Requirements and Prompt in Plain English

I started with a clear vision: I needed a modern content portal where standard visitors see a teaser, but premium content stays locked behind a payment barrier.

Instead of writing specifications or wireframe tickets, I gave Drytis AI a plain English prompt explaining what I wanted to achieve:

"Build a sleek, modern web application with a Stripe-driven paywall. I want a landing page that showcases a premium article/resource. Non-subscribed users should see a blurred preview and an 'Unlock Premium Access' button. Clicking the button should take them to a Stripe Checkout page. Once payment is successful, use a Stripe Webhook server to catch the checkout.session.completed event, update the user's access status in a database, and automatically redirect them back to unlock the full content."

I didn't specify database tables, API routes, or HTTP status codes. I simply described the user journey and the expected outcome.

Phase 2: How Drytis AI Analyzed and Designed the Solution

Within seconds, Drytis AI broke down my prompt into an enterprise-grade architectural wireframe and system design. Rather than jumping straight to unorganized code, it laid out the system components:

Frontend Layer: A modern, responsive React/Next.js dashboard with dynamic blurred state gates for locked content.
Backend API Routes: Serverless endpoints to handle Stripe session creation (/api/create-checkout-session) and verification.
Webhook Controller: An asynchronous listener (/api/webhooks/stripe) designed to process incoming event payloads directly from Stripe servers.
Data Persistence: A user session and entitlement layer to track payment status securely via signature verification.

Drytis AI presented a visual UX/UI wireframe preview before writing code, allowing me to confirm the look, feel, and button placements before proceeding.

Phase 3: Actual Code and Logic Execution

Here is the complete chat with Drytis AI Studio for building this solution:
https://studio.drytis.ai/chat/d9d25b87-72ab-4316-bbbf-b9c8c81cfc24/2567

Drytis AI began executing the code across the entire stack. Here are the core technical components it generated and assembled:

1. The Dynamic UI with Content Blur

Drytis AI generated a clean UI using Tailwind CSS. It managed access states conditionally based on verified user subscriptions.

// Component snippet: Locked Content Area
export default function PremiumArticle({ isSubscribed, content }) {
  return (
    <div className="relative max-w-4xl mx-auto p-6 bg-white rounded-xl shadow-md">
      <h1 className="text-3xl font-bold mb-4">{content.title}</h1>
      <p className="text-gray-700 mb-6">{content.freePreview}</p>

      {/* Paywall Container */}
      <div className={`relative ${!isSubscribed ? 'overflow-hidden max-h-48' : ''}`}>
        <div className={!isSubscribed ? 'filter blur-md select-none pointer-events-none' : ''}>
          <p className="text-gray-800 leading-relaxed">{content.premiumBody}</p>
        </div>

        {!isSubscribed && (
          <div className="absolute inset-0 bg-gradient-to-t from-white via-white/80 to-transparent flex flex-col items-center justify-end pb-8">
            <button
              onClick={handleCheckout}
              className="bg-indigo-600 hover:bg-indigo-700 text-white font-semibold px-8 py-3 rounded-lg shadow-lg transition-all transform hover:scale-105"
            >
              Unlock Full Access for $9.99
            </button>
          </div>
        )}
      </div>
    </div>
  );
}

2. Stripe Checkout Integration

Drytis AI configured the server-side API endpoint to construct a Stripe Checkout Session safely:

Stripe Hosted Checkout Flow. Source: edu-search-genmedia

JavaScript
// API Route: /api/create-checkout-session
import Stripe from 'stripe';
const stripe = new Stripe(process.env.STRIPE_SECRET_KEY);

export async function POST(req) {
  try {
    const session = await stripe.checkout.sessions.create({
      payment_method_types: ['card'],
      line_items: [
        {
          price_data: {
            currency: 'usd',
            product_data: { name: 'Premium Content Access Pass' },
            unit_amount: 999, // $9.99
          },
          quantity: 1,
        },
      ],
      mode: 'payment',
      success_url: `${process.env.NEXT_PUBLIC_DOMAIN}/success?session_id={CHECKOUT_SESSION_ID}`,
      cancel_url: `${process.env.NEXT_PUBLIC_DOMAIN}/canceled`,
    });

    return Response.json({ url: session.url });
  } catch (err) {
    return Response.json({ error: err.message }, { status: 500 });

3. Asynchronous Webhook Endpoint

Security is crucial for paywalls. You cannot rely on a frontend redirect alone to unlock content because users could spoof it. Drytis AI built a server-side webhook listener to handle payment verification directly from Stripe.

Event-driven Webhook Architecture. Source: edu-search-genmedia

JavaScript

// API Route: /api/webhooks/stripe
import { headers } from 'next/headers';
import Stripe from 'stripe';

const stripe = new Stripe(process.env.STRIPE_SECRET_KEY);
const endpointSecret = process.env.STRIPE_WEBHOOK_SECRET;

export async function POST(req) {
  const body = await req.text();
  const sig = headers().get('stripe-signature');

  let event;

  try {
    // Cryptographically verify the payload originated from Stripe
    event = stripe.webhooks.constructEvent(body, sig, endpointSecret);
  } catch (err) {
    console.error(`Webhook Signature Verification Failed: ${err.message}`);
    return new Response(`Webhook Error: ${err.message}`, { status: 400 });
  }

  // Handle successful checkout completion
  if (event.type === 'checkout.session.completed') {
    const session = event.data.object;

    // Grant access in database
    await updateUserEntitlements({
      customerEmail: session.customer_details.email,
      status: 'ACTIVE',
      paymentId: session.payment_intent,
    });
  }

  return new Response(JSON.stringify({ received: true }), { status: 200 });

Phase 4: How Drytis AI Tested All Segments

Rather than leaving testing to trial and error, Drytis AI executed automated testing protocols across the entire application stack:

Unit Testing API Endpoints: Mocked Stripe payload requests to ensure invalid signatures returned 400 Bad Request status codes.
Webhook Relay Simulation: Simulated checkout.session.completed events locally to verify that database state transitions triggered instantly.
Edge-Case Validation: Tested user cancellation flows, network dropouts during checkout redirects, and repeated webhook deliveries (idempotency checks).
UI/UX Auditing: Verified that blurred text elements remained unreadable via browser inspect tools by serving dummy strings until authentication was confirmed server-side.

Phase 5: Deployment and Live Preview

Once testing passed, Drytis AI deployed the application to a high-availability cloud infrastructure with a single click.

[Drytis AI Build Engine]
✔ Validating Environment Variables (STRIPE_SECRET_KEY, WEBHOOK_SECRET)... PASSED
✔ Compiling Production Modules & Tailwind CSS Assets... PASSED
✔ Executing Automated Edge Security Sweep... PASSED
✔ Deploying Container to Global Edge Network... SUCCESS

🚀 Deployment Preview: https://premiumgate-3ec7yu.drytis.dev/

The platform generated a live, interactive preview showing the transition from a locked paywall state to an unlocked content dashboard upon payment completion.

Phase 6: Benefits of Building with Drytis AI

Building a production-ready application usually requires hiring developers or spending weeks troubleshooting API integrations. Drytis AI changed that completely:

Speed to Market: The entire process—from my initial prompt to a live, functional deployment—took under 15 minutes.
Zero Coding Required: I didn't write a single line of boilerplate code or manually configure webhook secrets.
Full Stack & Production Ready: Drytis AI doesn't build simple UI prototypes or mockups. It writes clean, maintainable backend routes, implements secure cryptographic verification, and deploys scalable production code.

What Happens When AI Hits a Ceiling?

Even advanced AI engines can encounter unique edge cases, complex legacy databases, or custom business-logic constraints. This is where Drytis AI stands out from other AI builders:

If your project requirements surpass automated generation, you can seamlessly connect with a vetted Drytis AI platform engineer. An experienced software developer will jump directly into your project environment to:

Audit your existing codebase generated by the AI.
Resolve complex edge-case logic or custom enterprise integrations.
Bring your project across the finish line, billed strictly on a per-second basis.

Conclusion

Drytis AI bridges the gap between idea and execution. It isn't just an assistant that spits out isolated code snippets—it is an end-to-end software development platform that delivers production-grade solutions at the speed of AI, backed by human expertise whenever you need it.

Would you like to build your next solution through a simple prompt in plain English?

Try Drytis AI today!

How I Built a Multi-Tenant B2B SaaS Boilerplate in Record Time with Drytis AI

Shridhar G V — Sat, 22 Aug 2026 06:33:37 +0000

Building a production-ready Multi-Tenant B2B SaaS application usually takes weeks of setup: configuring database-isolated schemas, handling authentication flows, building tenant management dashboards, setting up role-based access control (RBAC), and connecting billing hooks.

Recently, I decided to streamline this entire process using Drytis AI—an AI-driven app development environment. Here is a breakdown of how I went from initial prompt to a fully deployed live product.

🚀Live Preview

Before diving into the development sequence, check out the live product built entirely through Drytis AI:
👉 View Live Multi-Tenant B2B SaaS Demo

Multi-Tenant B2B SaaS Boilerplate Built Using Drytis AI

Here is the technical execution sequence derived directly from the Drytis AI studio chat history for building the Multi-Tenant B2B SaaS Boilerplate.

🛠️ Multi-Tenant B2B SaaS Execution Sequence

Phase 1: Environment Setup & Architecture Definition

Scaffolded Base App: Initialized a clean Laravel 11 (PHP 8.4) environment and configured environment variables (APP_KEY, MySQL database credentials).
Auth & UI Setup: Installed Laravel Breeze with Blade + Alpine.js, then generated the assets using Vite and Tailwind CSS.
Blueprint Generation: Generated initial .drytis architectural spec, schema definitions, and project scopes for audit and testing tracking.

Phase 2: Schema Migrations, Models & Tenant Isolation

Database Migrations: Executed database migrations creating subscription_levels, tenants, users (with tenant_id, role, status), invitations, entries, and activity_logs.
Tenant Isolation Trait: Implemented app/Traits/BelongsToTenant.php to automatically inject a global query scope filtering data by Auth::user()->tenant_id and auto-fill tenant_id on model creation.
Database Seeders & Factories: Created factories and seeders for subscription tiers (Free, Starter, Pro, Enterprise) and seeded demo tenants/users.

Phase 3: Core Business Logic & Security Policies

Provisioning Service: Created TenantProvisioningService to wrap tenant creation, owner creation, and default subscription assignment into atomic DB transactions.
Role & Activity Middleware: Configured EnsureUserIsActive and RequireRole middleware to restrict feature access based on roles (Owner, Admin, Member).
Policies & Controllers: Built EntryPolicy and SubscriptionPolicy alongside controllers handling onboarding, dashboard metrics, entry CRUD operations, member invitations, and subscription plan management.

Phase 4: UI Development & Authentication Routing

Landing & Onboarding UI: Built custom views for the welcome landing page and tenant registration form (company name, size, admin details).
Tenant Dashboard & Views: Implemented responsive dashboards showing tenant configurations, usage stats, subscription tiers, member lists, and role-appropriate actions.
Authentication Safeguards: Updated authentication flows to block deactivated accounts at login and enforce tenant isolation during authentication.

Phase 5: Automated Testing & Verification

Test Suite: Built unit and feature tests covering tenant scope isolation, role-based permissions, cross-tenant data access prevention, and onboarding flows.
Test Execution: Resolved test configuration issues and verified the entire test suite (56 tests / 138 assertions passed).

Phase 6: Infrastructure & Deployment

Infra Audit: Resolved configuration checks (like environment keys and phpunit.xml settings) and ensured static assets compiled properly (npm run build).
Live Deployment: Processed the deployment via Caddy (php_server), reseeded the database state, verified HTTP status codes, and published the live instance.

Why You Should Try Drytis AI for Your Next Project

If you have B2B SaaS ideas sitting on your back burner, Drytis AI significantly cuts down setup overhead:

Instant Scaffolding: Skip boilerplate and repetitive config setups.
Production-Ready Output: Generates clean, deployable code rather than simple visual wireframes.
Live Deployment: Generates hosted instances immediately so you can test, iterate, and share your product with users instantly.

Try it yourself

Have a B2B SaaS idea you want to bring to life? Build your application today with Drytis AI.

Drytis AI: The No-Code AI Co-Founder That Never Sleeps 🚀

Shridhar G V — Wed, 12 Aug 2026 05:38:51 +0000

As developers, we love building logic, but spending dozens of hours on boilerplate setup, landing page design, and wireframing user flows can easily drain our momentum.

What if you could offload the tedious initial build phase to an AI co-founder? Enter Drytis AI.

Why Developers Are Turning to No-Code AI

No-code isn't replacing developers—it’s supercharging our shipping velocity. By leveraging intelligent AI automation, you can transform abstract product requirements into tangible, functional frameworks in minutes rather than weeks.

Key Advantages for Developers & Builders:

Rapid Prototyping: Turn napkin sketches and natural language prompts into live MVPs instantly.
Focus on Core Logic: Hand off UI/UX visual builds so you can concentrate on custom APIs, security, and backend scalability.
24/7 Execution: Validate ideas, run rapid iterations, and build without waiting on cross-functional design bottlenecks.

Meet Drytis AI: Your Digital Co-Founder

Drytis AI operates as an always-on extension of your dev workflow. Whether you’re launching an indie SaaS side project or rapidly testing a micro-tool, the platform handles the execution heavy lifting.

Idea / Prompt ➔ Drytis AI Engine ➔ Launch-Ready Framework ➔ Custom API Integration

Instead of context switching among design software, copy generation, and basic layout setups, Drytis AI unifies the build process into a single ecosystem.

Conclusion: Ship Faster, Build Smarter

The fastest builders aren't writing every line of CSS from scratch—they are leveraging intelligent no-code tools to ship products at scale.

Ready to accelerate your next build? Try Drytis AI today for your ongoing or upcoming projects and turn your vision into a live launch in record time!