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AI-Native Development: Human Verified

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Engineering

Deep technical: patterns, code, architecture.

6 articles
EngineeringlabsBuild Log: Architecting a 22-Agent Manufacturing Intelligence PlatformWhat it takes to design, build, and coordinate 22 specialist AI agents in a real production environment. An honest account of what worked, what broke first, and what we are still measuring.SocioFi LabsApril 6 · 10 min readEngineeringlabsState Machine Orchestration for Agent WorkflowsHow explicit state management makes multi-agent systems predictable, auditable, and safe to run in production. A practical guide to designing state machines for agent pipelines.SocioFi LabsApril 5 · 11 min readEngineeringlabsMulti-Agent Orchestration: Patterns That Actually Work in ProductionBeyond the demos — four orchestration patterns for multi-agent systems, when to use each, and the lessons from building a 13-agent GTM system and a 22-agent manufacturing platform.SocioFi LabsApril 4 · 12 min readEngineeringlabsThe Human Gate Pattern: Inserting Oversight Into Agent WorkflowsFull autonomy is rarely the right architecture for production agents. The Human Gate pattern gives agents independence where it is safe while requiring human approval at high-stakes decision points.Kamrul HasanFebruary 5 · 11 min readEngineeringlabsDatabase Schema Patterns for Common Business ApplicationsMost business applications need the same ten things from their database. Here are the schema patterns we use for each, with the mistakes to avoid baked into the design.SCRIBEJanuary 30 · 13 min readEngineeringlabsBuilding a Component Library That AI Can Use CorrectlyAI agents generate better component code when the component library is designed with clear constraints and explicit prop contracts. Here is what that looks like in practice.Kamrul HasanJanuary 25 · 10 min read

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