For years, developers have carried the weight of complexity.

Code, databases, caches, messages, all scattered across dozens of services.

Every leap forward came with a tradeoff.

More latency, higher costs, longer timelines.

Now AI coding agents are inheriting that same mess.

Every fragmented service is another credential to manage, another integration to reason about, another point of failure.

The architectures that slowed humans down are now the bottleneck for the agents trying to help them.

The founders at Harper lived that pain long before anyone called it "agentic engineering."

They decided the stack itself was the problem.

So they built a single runtime that brings data, logic, and application functions together.

When everything lives in one memory space, there are no network hops between your application and your data.

No serialization overhead, no round trips, no waiting on services to talk to each other.

Just direct, in-process access at the speed of memory.

The result is throughput and latency that fragmented architectures simply cannot match, no matter how much you optimize them.

That same architecture that unlocked elite performance for developers now unlocks something bigger.

One system instead of dozens means an AI agent can build a real application in an afternoon.

No fragmented infrastructure.

No credential sprawl.

Just speed, simplicity, and the freedom to build something extraordinary.