Breaking the Linearity Barrier: Recursive Swarms for Long-Horizon AI Engineering (www.blankline.org)

A new distributed runtime architecture called Horizon Mode has been unveiled, aimed at overcoming the "Linearity Barrier" in autonomous software engineering. Traditional Foundation Models (FMs) struggle with long-duration tasks due to context saturation, leading to degraded performance and loss of coherence over time. Horizon Mode shifts from a single-agent model to a Recursive Swarm Topology, harnessing thousands of specialized agents. This architecture employs a tiered system that optimizes computation costs and maintains reasoning integrity over extended periods, achieving a 99% reduction in compute costs compared to homogeneous approaches. The system features a Dynamic Distillation & Deployment (D3) Engine, which effectively manages memory across functional manifolds to ensure continuous context retention while processing tasks. Moreover, a Flash-Gated Consensus Protocol enhances safety, as agents communicate only through Boolean signals and solutions undergo rigorous verification before being implemented. A successful evaluation on the internal "Deep-Sec" benchmark demonstrated Horizon Mode's potential for high-assurance AI, opening pathways for more reliable, long-term applications in complex engineering scenarios.