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.