Research

What changes when
agents join the organization.

We study orchestration topologies, engineering knowledge representation, and verifiable governance. Everything we learn ships into the products.

Orchestration Topologies for Multi-Agent Software Delivery

A comparative study of DAG, blackboard, and market-based coordination across 40 real delivery pipelines — and why governed DAGs win on auditability without losing throughput.

RVThere Labs Research

Knowledge Graphs as Engineering Ground Truth

How typed artifact graphs reduce agent hallucination in planning tasks by 71%, measured on production PRD decomposition workloads.

RVThere Labs Research

The AI-Native Engineering Organization

A field guide for CTOs: the operating model, governance gates, and talent structure of organizations where agents outnumber engineers.

RVThere Labs

Reference Architecture: Governed Agent Pipelines

The complete blueprint behind the AI Factory — orchestration layer, policy enforcement points, provenance model, and human approval gates.

RVThere Labs Engineering

Policy-as-Code for AI-Generated Software

Compliance evidence that generates itself: binding SOC 2 and ISO controls to pipeline stages so every release carries its own audit trail.

RVThere Labs

Open Problems in Engineering Governance

Six unsolved questions we’re working on — from ontology evolution under agent write-access to cross-organization knowledge federation.

RVThere Labs Research