AI-guided capsules, validator pipelines, and symbolic registries designed for large-scale code reasoning and recruiter-facing clarity.
Gravity Binary is a personal lab for answering a hard question: How far can one engineer push code at scale, safely?
The work explores infrastructure where source is treated as a graph, and where AI agents guided by algorithms can understand, validate, and eventually transform large systems. The target is the same class of problems as “1 engineer, 1 month, 1 million lines of code.”
Azure provides the substrate — Container Apps, ACR, identity, and DNS — while Gravity Binary supplies the capsules that model the tools needed to retire technical debt at scale, not just patch it.
Selected capsules for code-at-scale reasoning:
Each capsule is deployed as an Azure Container App with explicit ingress, identity, and observability. The emphasis is on composable infrastructure over one-off tools.
A working set of experiments in code-at-scale infrastructure. Each capsule exists to answer a concrete question about operating safely and observably on large systems.