How the channel uses **LFG flow** In this channel's material, LFG flow names the end-to-end pipeline of the author's AI software factory for Cora — a feedback-to-shipped-code flow that runs with almost no manual steps. Slack feedback comes in, a structured pull request is built, a batch of fixes is implemented, reviewed, and even merged overnight.[^ee33b4c4-6af4-5c71-93c1-8a41356919c4@50] [^ee33b4c4-6af4-5c71-93c1-8a41356919c4@367] [^ee33b4c4-6af4-5c71-93c1-8a41356919c4@400] [^ee33b4c4-6af4-5c71-93c1-8a41356919c4@422] The term captures the whole journey, not any single stage — explore it stage by stage: feedback capture, structured PR creation, batched implementation, review, and merge.[^ee33b4c4-6af4-5c71-93c1-8a41356919c4@61] [^ee33b4c4-6af4-5c71-93c1-8a41356919c4@128] [^ee33b4c4-6af4-5c71-93c1-8a41356919c4@222] [^ee33b4c4-6af4-5c71-93c1-8a41356919c4@379] A key design choice within the flow is batching: working through a whole batch of fixes at once instead of reviewing per item, and the system is built to improve from its own mistakes along the way.[^ee33b4c4-6af4-5c71-93c1-8a41356919c4@367] [^ee33b4c4-6af4-5c71-93c1-8a41356919c4@422] [^ee33b4c4-6af4-5c71-93c1-8a41356919c4@434] [^ee33b4c4-6af4-5c71-93c1-8a41356919c4@411]