Grafana Datasource

Blog

Learn how to keep AI-assisted side projects on track using a repo-native coordination layer that preserves context across session gaps.

Aleks Haugom

Senior Manager of GTM

Learn how to keep AI-assisted side projects on track using a repo-native coordination layer that preserves context across session gaps.

How to Keep Massive AI-Assisted Side Projects on Track

Jun 2026

Learn how to keep AI-assisted side projects on track using a repo-native coordination layer that preserves context across session gaps.

How to Keep Massive AI-Assisted Side Projects on Track

Learn how to keep AI-assisted side projects on track using a repo-native coordination layer that preserves context across session gaps.

How to Keep Massive AI-Assisted Side Projects on Track

Deserializing entire records to read one field is a bottleneck at scale. Structon stores objects in a binary format where any field is reachable by byte offset, with lazy getters that never allocate until you access a property. It's the encoding Harper has used internally for years, now a standalone package.

Introducing Structon: Random-Access Binary Encoding for JavaScript

JavaScript

Tutorial

Deserializing entire records to read one field is a bottleneck at scale. Structon stores objects in a binary format where any field is reachable by byte offset, with lazy getters that never allocate until you access a property. It's the encoding Harper has used internally for years, now a standalone package.

Kris Zyp

SVP of Engineering

Deserializing entire records to read one field is a bottleneck at scale. Structon stores objects in a binary format where any field is reachable by byte offset, with lazy getters that never allocate until you access a property. It's the encoding Harper has used internally for years, now a standalone package.

Introducing Structon: Random-Access Binary Encoding for JavaScript

Kris Zyp

Jun 2026

Deserializing entire records to read one field is a bottleneck at scale. Structon stores objects in a binary format where any field is reachable by byte offset, with lazy getters that never allocate until you access a property. It's the encoding Harper has used internally for years, now a standalone package.

Introducing Structon: Random-Access Binary Encoding for JavaScript

Kris Zyp

Deserializing entire records to read one field is a bottleneck at scale. Structon stores objects in a binary format where any field is reachable by byte offset, with lazy getters that never allocate until you access a property. It's the encoding Harper has used internally for years, now a standalone package.

Introducing Structon: Random-Access Binary Encoding for JavaScript

Kris Zyp

Production agents spend 56–74% of their time waiting on tool calls and infrastructure, not the model. Microservices were the right answer for the web era; agentic workloads need the stack pulled back into a single unified runtime.

Microservices Split the Stack, but Agents Want It Whole

Blog

Production agents spend 56–74% of their time waiting on tool calls and infrastructure, not the model. Microservices were the right answer for the web era; agentic workloads need the stack pulled back into a single unified runtime.

Aleks Haugom

Senior Manager of GTM

Production agents spend 56–74% of their time waiting on tool calls and infrastructure, not the model. Microservices were the right answer for the web era; agentic workloads need the stack pulled back into a single unified runtime.

Microservices Split the Stack, but Agents Want It Whole

May 2026

Production agents spend 56–74% of their time waiting on tool calls and infrastructure, not the model. Microservices were the right answer for the web era; agentic workloads need the stack pulled back into a single unified runtime.

Microservices Split the Stack, but Agents Want It Whole

Production agents spend 56–74% of their time waiting on tool calls and infrastructure, not the model. Microservices were the right answer for the web era; agentic workloads need the stack pulled back into a single unified runtime.

Microservices Split the Stack, but Agents Want It Whole

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.

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

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.

Austin Akers

Head of Developer Relations

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.

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

Austin Akers

May 2026

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.

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

Austin Akers

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.

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

Austin Akers

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.

The Old Product Loop Is the New Bottleneck

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.

Aleks Haugom

Senior Manager of GTM