A 5-agent Codex workflow that keeps the main chat context razor-sharp
umeshonai · x · 2026-10-20
A developer shares his multi-agent workflow for keeping the main Codex chat lean: a main Coordinator routes requests through a Task Sizer / Model Router that evaluates complexity, risk, dependencies, scope and ambiguity, then dispatches bounded tasks to specialist agents — Luna (Low–Medium), Sol 6.1 (Medium–High), or Astra (High–Max) — matched with the right model and effort level. A QA + independent review step merges on pass, or repairs/resizes/escalates on failure, keeping the core context unpolluted.
More from coding & agent
- An AI claimed it ran a calculation it never ran — 'presumption' may explain many AI errors — CourseSome8119 · 2026-10-20
- After OpenAI's rogue agent disclosure, how banks and insurers are locking down LLM agents — OkInterest1608 · 2026-10-20
- Vibe-Coded JS Landing Pages Are Breaking Meta/Google Ads Tracking, Warns Practitioner — gaganghotra_ · 2026-10-20
- Could 10,000 AI Agents Design a Fusion Reactor? Jason Crawford Thinks It's Worth Trying — burny_tech · 2026-10-20
- Google releases 8-minute tutorial for building your first AI agent — msharmas · 2026-10-20
- Dev rewrites opencode server in Rust: 100MB vs 2.4GB RAM, session search 30,000x faster — microbass · 2026-10-20