Click Below to Get the Code

Browse, clone, and build from real-world templates powered by Harper.
Blog
GitHub Logo

Skip the Boilerplate: How a Schema Can Power Your Entire Stack

Most apps start simple then accrete APIs, auth, caching, and realtime—Harper flips that by making your schema the app: define tables and relationships and you instantly get generated APIs, integrated caching, and pub/sub. This schema-defined approach lets teams prototype in hours and scale without glue code, extending with computed fields and custom APIs as needs grow.
Blog

Skip the Boilerplate: How a Schema Can Power Your Entire Stack

Aleks Haugom
Senior Manager of GTM
at Harper
August 28, 2025
Aleks Haugom
Senior Manager of GTM
at Harper
August 28, 2025
Aleks Haugom
Senior Manager of GTM
at Harper
August 28, 2025
August 28, 2025
Most apps start simple then accrete APIs, auth, caching, and realtime—Harper flips that by making your schema the app: define tables and relationships and you instantly get generated APIs, integrated caching, and pub/sub. This schema-defined approach lets teams prototype in hours and scale without glue code, extending with computed fields and custom APIs as needs grow.
Aleks Haugom
Senior Manager of GTM

Every developer knows the rhythm of a new project: you start by modeling your data and writing just enough logic to prove the idea. With a couple of endpoints and a working schema, things feel simple.

But projects rarely stay simple for long. Pretty quickly, you need an API layer that can scale. Then comes authentication, validation, and query optimization. As the app grows, performance challenges prompt you to consider caching. And when users start expecting live updates, you’re wiring in real-time infrastructure.

None of these steps happens all at once, but they all happen eventually—and each new layer adds deployment, configuration, and maintenance overhead. What began as a straightforward schema definition gradually sprawls into a full stack of services you’re responsible for stitching together.

A Different Approach

Harper flips this process on its head. Because Harper fuses storage, APIs, caching, and real-time events into a single runtime, your schema doesn’t just describe your data, it defines your application.

The moment you declare tables and relationships, Harper automatically generates APIs, integrates caching, and enables publish/subscribe events. Instead of bolting on these layers later, they’re available from the start, working together by design.

This is what we call a schema-defined application: an approach where the schema becomes the foundation not just for your data model, but for your entire stack.

Why It Matters

Shifting to schema-defined apps doesn’t just save you setup time; it changes how you think about building software. You’re no longer piecing together infrastructure before you can even test your idea. Instead, you begin with a working application that evolves as your schema evolves.

For developers, it feels like skipping ahead, but without giving up control. You still decide what your schema looks like and how your APIs behave, but Harper removes the friction of wiring up the basics. For teams, it means faster delivery, cleaner architecture, and fewer moving parts to maintain.

Examples in Action

To make this more concrete, we’ve published a few schema-defined applications you can explore today:

  • How to Build a Social Graph Service
    Create a schema that models users, posts, and follower relationships, and you instantly get the APIs needed for actions like following or unfollowing someone, building a personalized feed, and even broadcasting updates in real time.

  • Building a Product Catalog and Shopping Cart
    Define products, categories, and shopping carts in your schema, and you’ll have a full e-commerce backend that supports product browsing, cart operations, and live inventory updates—without wiring together separate services.

  • Building a Calendar and Scheduling App
    Model users, events, and availability, and Harper provides the endpoints to create meetings, check for conflicts, and update schedules in real time, giving you a functional calendar service from a straightforward schema.

Each of these examples begins with nothing more than a schema and quickly evolves into a fully functional backend. No glue code, no extra infrastructure, just data models that turn directly into functionality.

Taking It Further

The schema is only the beginning. As your application matures, Harper enables you to refine it without compromising the simplicity of the schema-first approach.

Need to reduce client-side processing? Add computed properties that automatically derive new values right in your schema. Want to expose business-specific workflows or aggregations? Extend your app with custom functionality tailored to your needs.

You don’t lose the ease of schema-defined apps when you grow; you build on it. That means you can go from idea to prototype in hours, then scale into production without rewriting your foundation.

Next Steps

If you’re ready to see how schema-defined applications can accelerate your workflow, here’s where to start:

  1. Explore the examples linked above to see how schemas become apps in practice.
  2. Review the docs on calculated fields and custom APIs to understand how you can extend your app.
  3. Experiment with your own schema, define a few tables in Harper, and watch how quickly they transform into a working application.

Final Thoughts

Schema-defined applications don’t remove complexity from software development altogether—but they make sure you’re not carrying it before you have to. By placing the schema at the center of the stack, Harper eliminates the friction of setting up APIs, caching, and real-time functionality, allowing you to focus on building meaningful features.

If you’ve ever wished you could move from schema design straight to a working application, Harper makes that possible. Define your schema, and the rest of the stack comes alive.

Start building with Harper today →

Every developer knows the rhythm of a new project: you start by modeling your data and writing just enough logic to prove the idea. With a couple of endpoints and a working schema, things feel simple.

But projects rarely stay simple for long. Pretty quickly, you need an API layer that can scale. Then comes authentication, validation, and query optimization. As the app grows, performance challenges prompt you to consider caching. And when users start expecting live updates, you’re wiring in real-time infrastructure.

None of these steps happens all at once, but they all happen eventually—and each new layer adds deployment, configuration, and maintenance overhead. What began as a straightforward schema definition gradually sprawls into a full stack of services you’re responsible for stitching together.

A Different Approach

Harper flips this process on its head. Because Harper fuses storage, APIs, caching, and real-time events into a single runtime, your schema doesn’t just describe your data, it defines your application.

The moment you declare tables and relationships, Harper automatically generates APIs, integrates caching, and enables publish/subscribe events. Instead of bolting on these layers later, they’re available from the start, working together by design.

This is what we call a schema-defined application: an approach where the schema becomes the foundation not just for your data model, but for your entire stack.

Why It Matters

Shifting to schema-defined apps doesn’t just save you setup time; it changes how you think about building software. You’re no longer piecing together infrastructure before you can even test your idea. Instead, you begin with a working application that evolves as your schema evolves.

For developers, it feels like skipping ahead, but without giving up control. You still decide what your schema looks like and how your APIs behave, but Harper removes the friction of wiring up the basics. For teams, it means faster delivery, cleaner architecture, and fewer moving parts to maintain.

Examples in Action

To make this more concrete, we’ve published a few schema-defined applications you can explore today:

  • How to Build a Social Graph Service
    Create a schema that models users, posts, and follower relationships, and you instantly get the APIs needed for actions like following or unfollowing someone, building a personalized feed, and even broadcasting updates in real time.

  • Building a Product Catalog and Shopping Cart
    Define products, categories, and shopping carts in your schema, and you’ll have a full e-commerce backend that supports product browsing, cart operations, and live inventory updates—without wiring together separate services.

  • Building a Calendar and Scheduling App
    Model users, events, and availability, and Harper provides the endpoints to create meetings, check for conflicts, and update schedules in real time, giving you a functional calendar service from a straightforward schema.

Each of these examples begins with nothing more than a schema and quickly evolves into a fully functional backend. No glue code, no extra infrastructure, just data models that turn directly into functionality.

Taking It Further

The schema is only the beginning. As your application matures, Harper enables you to refine it without compromising the simplicity of the schema-first approach.

Need to reduce client-side processing? Add computed properties that automatically derive new values right in your schema. Want to expose business-specific workflows or aggregations? Extend your app with custom functionality tailored to your needs.

You don’t lose the ease of schema-defined apps when you grow; you build on it. That means you can go from idea to prototype in hours, then scale into production without rewriting your foundation.

Next Steps

If you’re ready to see how schema-defined applications can accelerate your workflow, here’s where to start:

  1. Explore the examples linked above to see how schemas become apps in practice.
  2. Review the docs on calculated fields and custom APIs to understand how you can extend your app.
  3. Experiment with your own schema, define a few tables in Harper, and watch how quickly they transform into a working application.

Final Thoughts

Schema-defined applications don’t remove complexity from software development altogether—but they make sure you’re not carrying it before you have to. By placing the schema at the center of the stack, Harper eliminates the friction of setting up APIs, caching, and real-time functionality, allowing you to focus on building meaningful features.

If you’ve ever wished you could move from schema design straight to a working application, Harper makes that possible. Define your schema, and the rest of the stack comes alive.

Start building with Harper today →

Most apps start simple then accrete APIs, auth, caching, and realtime—Harper flips that by making your schema the app: define tables and relationships and you instantly get generated APIs, integrated caching, and pub/sub. This schema-defined approach lets teams prototype in hours and scale without glue code, extending with computed fields and custom APIs as needs grow.

Download

White arrow pointing right
Most apps start simple then accrete APIs, auth, caching, and realtime—Harper flips that by making your schema the app: define tables and relationships and you instantly get generated APIs, integrated caching, and pub/sub. This schema-defined approach lets teams prototype in hours and scale without glue code, extending with computed fields and custom APIs as needs grow.

Download

White arrow pointing right
Most apps start simple then accrete APIs, auth, caching, and realtime—Harper flips that by making your schema the app: define tables and relationships and you instantly get generated APIs, integrated caching, and pub/sub. This schema-defined approach lets teams prototype in hours and scale without glue code, extending with computed fields and custom APIs as needs grow.

Download

White arrow pointing right

Explore Recent Resources

Livestream
GitHub Logo

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Livestream
Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Person with short hair wearing a light blue patterned shirt, smiling widely outdoors with blurred greenery and trees in the background.
Austin Akers
Head of Developer Relations
Livestream

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Austin Akers
May 2026
Livestream

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Austin Akers
Livestream

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Austin Akers
Blog
GitHub Logo

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Blog
AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
Aleks Haugom
Senior Manager of GTM
Blog

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Aleks Haugom
May 2026
Blog

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Aleks Haugom
Blog

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Aleks Haugom
Livestream
GitHub Logo

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Livestream
A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
Aleks Haugom
Senior Manager of GTM
Livestream

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Aleks Haugom
May 2026
Livestream

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Aleks Haugom
Livestream

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Aleks Haugom
Tutorial
GitHub Logo

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Tutorial
Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Person with very short hair and a goatee wearing a plaid button‑up shirt over a white undershirt, smiling outdoors with leafy greenery behind.
Jeff Darnton
SVP, Professional Services & Customer Success
Tutorial

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Jeff Darnton
May 2026
Tutorial

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Jeff Darnton
Tutorial

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Jeff Darnton
Tutorial
GitHub Logo

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Tutorial
Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Person with very short hair and a goatee wearing a plaid button‑up shirt over a white undershirt, smiling outdoors with leafy greenery behind.
Jeff Darnton
SVP, Professional Services & Customer Success
Tutorial

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Jeff Darnton
May 2026
Tutorial

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Jeff Darnton
Tutorial

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Jeff Darnton