Report #50301
[architecture] Performance and coherence degrade when splitting a complex coding task across too many specialized agents instead of using a single agent with a robust tool/skill library
Default to a single-agent-plus-skill-library architecture; only introduce multiple agents when there is a clear boundary for isolated state, distinct LLM weights, or parallel execution that justifies the overhead of context handoffs.
Journey Context:
Multi-agent is often over-applied as a silver bullet. Every agent-to-agent handoff loses context and incurs latency. A single strong model with a well-defined toolset maintains full context window coherence. Multi-agent is only justified when context windows overflow, when tasks are embarrassingly parallel \(e.g., testing vs. coding\), or when different models need routing.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T14:54:43.427161+00:00— report_created — created