Kyle Springfield

Case Study

xenosync

Multi-agent AI orchestration platform coordinating parallel Claude Code sessions.

aifullstack

Context

Parallel coding and analysis sessions create coordination overhead and merge conflicts.

Approach

Designed a controller pattern to assign tasks to specialized agents and collect outputs into a structured merge queue.

Architecture

Coordinator service -> session workers -> merge/reconciliation layer -> final artifact pipeline.

Results

Improved throughput for multi-thread implementation work while reducing failed joins.

Lessons

Agent orchestration quality depends more on control-plane design than prompt quality alone.

Artifacts

If I had 2 more weeks...

Add conflict scoring and detailed run telemetry dashboards.

Artifacts