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Episode
411
Interview
Web News

Is Web Development Too Easy Now?

Recorded:
September 23, 2025
Released:
October 7, 2025
Episode Number:
411

Modern web development feels easier than ever — but only on the surface. In this episode, Matt and Mike break down which parts of web dev have truly become simple thanks to frameworks, AI scaffolding, and one-click hosting… and which parts remain tough as ever. From complex third-party integrations and security concerns to scaling, debugging, and design systems, they explore the deeper challenges that still require human creativity and technical judgment.

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Show Notes

Part 1: The Easy Parts

  • Frameworks & Generators
    • Next.js, SvelteKit, Remix → instant routing, API endpoints, server rendering.
    • AI can scaffold pages, hooks, and CRUD quickly.
  • Deployment & Hosting
    • Vercel, Netlify, Cloudflare → one-click deploys, serverless scaling out of the box.
    • No need to manage servers or containers to ship an MVP.
  • Plug-and-Play Services
    • Authentication (Clerk, Auth0), payments (Stripe), DBs (Supabase, PlanetScale).
    • Developers can ship demos and side projects in hours.

Part 2: The Hard Parts That Still Exist

1. 3rd-Party Integrations

  • APIs are inconsistent, rate-limited, or poorly documented.
  • Edge cases and error handling can consume more time than writing the app itself.
  • Example: OAuth flows or embedding a payment provider.

2. Security

3. WebSockets & Real-Time Apps

  • AI scaffolding can’t solve the complexity of state sync, reconnections, scaling.
  • Handling thousands of concurrent connections across regions is still tough.
  • Example: chat apps, collaborative editors, live dashboards.

4. Complex CSS & Design Systems

  • Frameworks don’t design your UI for you.
  • Responsive layouts, accessibility, and advanced animations remain human-intensive.
  • Maintaining consistency in large teams (design tokens, theming) is still a challenge.
  • Example: building a polished dashboard that works across devices.

5. Complex Debugging

  • Debugging distributed systems, async bugs, race conditions, or performance regressions.
  • Logs, observability, and CI/CD pipelines introduce complexity not solved by AI.
  • Example: production bug that only happens under load or with specific inputs.

6. Data & Scaling

  • Schema design, database migrations, query optimization, and caching strategies.
  • Trade-offs between cost vs performance still need human judgment.

7. Novel Features & Differentiation

  • CRUD is solved; the challenge is creating something unique.
  • Competitive advantage comes from innovation, not scaffolding.

8. Marketing & Growth

  • Technical ability doesn’t equal user adoption.
  • Marketing, distribution, and community remain uphill battles.

9. Team & Process

  • Collaboration, reviews, CI/CD, observability, QA.
  • Tools help, but scaling humans working together is never easy.

10. Compliance & Maintenance

  • GDPR, HIPAA, SOC2, financial compliance.
  • Long-term updates, deprecations, and vendor lock-in still add friction.

Part 3: Why This Shift Is a Good Thing

  • We can get to the real problems faster (security, scale, value).
  • Removes “gatekeeping” around trivial tasks (spinning up a server, CRUD boilerplate).
  • Developers can focus on building resilient, innovative software.



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