When to split into multiple agents instead of giving one more tools?
Hammad_developer · reddit · 2026-10-01
A developer building a multi-agent system (inventory, pricing, customer queries, analytics) wrestles with when to actually split agents. Adding specialist agents on every orchestrator failure causes context loss and handoff overhead; the counter-argument is one well-scoped agent beats five with coordination costs until you hit real reasons: different models, permissions, or independent scaling. They ask production practitioners for the actual trigger — capability, cost, latency, or tidiness — and whether anyone merged agents back and was happier.
More from coding & agent
- 19 fixtures, 6 models, 3 runs: newest AI models didn't beat the old one at finding bugs — ChanceKelch · 2026-10-01
- Dev turns browser demo into mini GTA with carjacking and drifting, built with Opus in Cursor — prasenx · 2026-10-01
- Google Cloud's Agent Clinic: build an automated eval suite for a LangGraph agent in 60 min — LangChain · 2026-10-01
- GitHub's HydraFusion hits VS Code and Copilot app: multi-model routing at lower credit cost — DanWahlin · 2026-10-01
- His always-on agent cut his rent by $1000 and fights bills without him knowing — tech__unicorn · 2026-10-01
- Box CEO Aaron Levie: the AI deployment layer is a massive untapped opportunity — annbordetsky · 2026-10-01