Multi-Agent Software Delivery System

Context

Apiux Tech needed to scale engineering throughput without proportionally scaling headcount, particularly for well-specified, repeatable delivery work.

Problem

Single-agent code generation pipelines tend to collapse distinct engineering concerns — architecture, security, QA — into one pass. The resulting output can pass a surface-level review while still failing deeper structural or security checks.

Architecture

A LangGraph graph coordinates 6+ specialized roles — product ownership, architecture, DevOps, QA, security, and development — each operating with scoped context. Artifacts (specs, diffs, review reports) pass between nodes, with a human-review gate before anything merges.

Technical decisions

• Role separation modeled on a real engineering team structure, so each agent’s context stays focused on its concern instead of being diluted across the entire delivery lifecycle.
• Structured outputs enforced between agent handoffs — rather than free-form text — to keep the graph auditable and make failures attributable to a specific role.
• Claude API used for the reasoning-heavy architecture and security roles, chosen for structured-output reliability.

Evaluation

Accuracy of generated code was tracked through structured internal human review during validation.

Results

• ~90% accuracy in human-reviewed code generation outputs.
• 6+ specialized agent roles operating in coordinated production use.