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.
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.
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.
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.
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.
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.
.png){kind=icon}
.png){kind=icon}
%20(1).png){kind=icon}