Loops + graph engineering: the full guide from prompt to reliable AI systems
goyalshaliniuk · x · 2026-09-07
A 10-minute guide to AI workflow engineering: a loop is check → fail → fix → repeat until the task is actually complete; a graph breaks complex work into smaller paths handled by specialized agents. Loops handle execution, graphs handle orchestration, and the real skill is defining what "done" means before work begins. Progression: Prompt → Loops → Graphs → Agents → Systems.
More from coding & agent
- Developer builds AI agent harness on iMessage that trades and pays via PayBox — kleffew94 · 2026-09-07
- Codex tasked with designing its own sheet-metal part via DFM/quote MCP — PaulYacoubian · 2026-09-07
- Copilot CLI's Astra fixes stuck PowerPoint on Mac via computer-use MCP tools — DanWahlin · 2026-09-07
- Reddit devs ask: are AI coding agents' costs worth the productivity gains at scale? — lowkeyskibidi · 2026-09-07
- OpenCode launches Zen pay-as-you-go and Go subscription: $10/mo gets ~$60 of models — leebase65 · 2026-09-07
- Run Qwen3 27B Free on Kaggle: ~20 Hours of GPU Usage You Can Point Hermes At — TheMoonMidas · 2026-09-07