Click Below to Get the Code

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

GraphQL

Harper revolutionizes GraphQL performance by fusing database, cache, application logic, and messaging into a single edge-native runtime—eliminating CDN cache misses, reducing backend strain, and slashing latency. With features like whole and partial query caching, real-time data freshness via CDC, and an incremental adoption path, Harper enables fast, scalable, and simplified GraphQL delivery without major rewrites.
GraphQL
Solution
GraphQL

GraphQL

Harper
at Harper
June 12, 2025
Harper
at Harper
June 12, 2025
Harper
at Harper
June 12, 2025
June 12, 2025
Harper revolutionizes GraphQL performance by fusing database, cache, application logic, and messaging into a single edge-native runtime—eliminating CDN cache misses, reducing backend strain, and slashing latency. With features like whole and partial query caching, real-time data freshness via CDC, and an incremental adoption path, Harper enables fast, scalable, and simplified GraphQL delivery without major rewrites.
Harper

GraphQL streamlines data access, but its dynamic, payload-based requests break traditional CDN caching, resulting in latency, increased costs, and backend strain. Harper solves this with a fused, edge-native runtime that combines database, cache, application logic, and messaging functions into a single process. By resolving queries closer to users with cached data, Harper reduces egress and boosts performance. And with an incremental adoption path—from full-query caching to field-level routing—teams can see immediate gains without major rewrites.

Challenges with Common GraphQL Deployments

  • Caching Breaks: GraphQL’s POST-based, single-endpoint architecture bypasses traditional path and header-based CDN caching, often resulting in zero cache hits.
  • Latency Stacks: Each field in a resolver chain may trigger separate cross-network calls, thereby delaying time-to-first-byte (TTFB) and negatively impacting Core Web Vitals.
  • Origins Strain: Without a caching layer, every query hits backend databases or microservices directly, driving up compute costs, database load, and operational strain.
  • Freshness Lags: Most GraphQL caching solutions lack native Change Data Capture (CDC) or event streaming capabilities, making it challenging to keep data fresh without relying on expensive polling or brittle revalidation workarounds.

Why Harper Is Built for Modern GraphQL

Most GraphQL platforms leave teams juggling too many moving parts—external databases, distributed caches, middleware, polling infrastructure—just to make a single query fast and fresh. Harper changes that by fusing the pieces together and bringing them to the edge.

Deployed at the edge near every user, Harper’s fused runtime streamlines query resolution with one lightweight process. This architecture eliminates the traditional tradeoffs between speed, scale, and simplicity.



GraphQL Request Lifecycle with Harper: From Frontend Query to Fused Stack Response

Getting Started Is Easy

Whether you're looking to reduce origin traffic, accelerate personalized UIs, or simplify GraphQL operations at scale, Harper meets you where you are. Start with whole-query caching for instant gains, or move straight into field-level control, real-time updates, and edge-native logic. 

Harper can replace your existing GraphQL resolver, allowing you to maintain your current API contract while gaining performance and flexibility from the start. It’s a lightweight switch with minimal impact on clients and a clear path to deeper optimization over time.

Start small. Scale fast. Modernize GraphQL without disrupting your users.

GraphQL streamlines data access, but its dynamic, payload-based requests break traditional CDN caching, resulting in latency, increased costs, and backend strain. Harper solves this with a fused, edge-native runtime that combines database, cache, application logic, and messaging functions into a single process. By resolving queries closer to users with cached data, Harper reduces egress and boosts performance. And with an incremental adoption path—from full-query caching to field-level routing—teams can see immediate gains without major rewrites.

Challenges with Common GraphQL Deployments

  • Caching Breaks: GraphQL’s POST-based, single-endpoint architecture bypasses traditional path and header-based CDN caching, often resulting in zero cache hits.
  • Latency Stacks: Each field in a resolver chain may trigger separate cross-network calls, thereby delaying time-to-first-byte (TTFB) and negatively impacting Core Web Vitals.
  • Origins Strain: Without a caching layer, every query hits backend databases or microservices directly, driving up compute costs, database load, and operational strain.
  • Freshness Lags: Most GraphQL caching solutions lack native Change Data Capture (CDC) or event streaming capabilities, making it challenging to keep data fresh without relying on expensive polling or brittle revalidation workarounds.

Why Harper Is Built for Modern GraphQL

Most GraphQL platforms leave teams juggling too many moving parts—external databases, distributed caches, middleware, polling infrastructure—just to make a single query fast and fresh. Harper changes that by fusing the pieces together and bringing them to the edge.

Deployed at the edge near every user, Harper’s fused runtime streamlines query resolution with one lightweight process. This architecture eliminates the traditional tradeoffs between speed, scale, and simplicity.



GraphQL Request Lifecycle with Harper: From Frontend Query to Fused Stack Response

Getting Started Is Easy

Whether you're looking to reduce origin traffic, accelerate personalized UIs, or simplify GraphQL operations at scale, Harper meets you where you are. Start with whole-query caching for instant gains, or move straight into field-level control, real-time updates, and edge-native logic. 

Harper can replace your existing GraphQL resolver, allowing you to maintain your current API contract while gaining performance and flexibility from the start. It’s a lightweight switch with minimal impact on clients and a clear path to deeper optimization over time.

Start small. Scale fast. Modernize GraphQL without disrupting your users.

Harper revolutionizes GraphQL performance by fusing database, cache, application logic, and messaging into a single edge-native runtime—eliminating CDN cache misses, reducing backend strain, and slashing latency. With features like whole and partial query caching, real-time data freshness via CDC, and an incremental adoption path, Harper enables fast, scalable, and simplified GraphQL delivery without major rewrites.

Download

White arrow pointing right
Harper revolutionizes GraphQL performance by fusing database, cache, application logic, and messaging into a single edge-native runtime—eliminating CDN cache misses, reducing backend strain, and slashing latency. With features like whole and partial query caching, real-time data freshness via CDC, and an incremental adoption path, Harper enables fast, scalable, and simplified GraphQL delivery without major rewrites.

Download

White arrow pointing right
Harper revolutionizes GraphQL performance by fusing database, cache, application logic, and messaging into a single edge-native runtime—eliminating CDN cache misses, reducing backend strain, and slashing latency. With features like whole and partial query caching, real-time data freshness via CDC, and an incremental adoption path, Harper enables fast, scalable, and simplified GraphQL delivery without major rewrites.

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