A production multi-agent team says deterministic orchestration works better than deterministic LLMs
njanChe1 · reddit · 2026-07-23
Spent two years running a multi-agent ESG analytics system in production, and the key lesson was to stop trying to make the LLM deterministic.
Instead, the team made the orchestration deterministic:
- The planner emits a typed task graph that describes what to do, not how to do it.
- Work is dispatched through durable queues, so worker failures do not lose in-flight state.
- The aggregator pre-registers the expected task set before execution, avoiding premature synthesis and hangs.
The author argues that stochasticity should be isolated in workers, where judgment is useful, while the control plane stays boring and reliable. The one open concern: they currently trust the planner’s emitted task list without validating schema first, and ask how others gate LLM-generated plans.
More from coding & agent
- Cursor private workers can run on SSH VMs, screenshot shows — davidcrawshaw · 2026-07-23
- An agent hit GitHub Actions limits, spun up a VM, and kept the build running — davidcrawshaw · 2026-07-23
- Async agents fail when users think a 90-second job has frozen — Specific-Point-4026 · 2026-07-23
- Open-source skill scans your codebase first, then writes a README — Shruti_0810 · 2026-07-23
- China AI roundup: embodied upgrades, AGI layoffs, and a new agent standard — 快鲤鱼 · 2026-07-23
- Open-source coding agent octomind chooses persistent cloud machines over per-session sandboxes — donk8r · 2026-07-23