Mastering AI Workflow Orchestration: Build a Visual LLM Pipeline in 4,500 Lines
1 months ago 高效码农Building an AI Workflow Orchestrator in 4,500 Lines: The PaiAgent Story “ Can a two-week, one-person sprint yield a production-ready visual pipeline that chains LLMs and text-to-speech, survives real browsers, and still fits in one Git repo? Yes—if you treat the DAG engine like Lego bricks, not rocket science. 1. Why We Rolled Our Own DAG Engine Instead of Grabbing Activiti Question answered: “Why bother writing another topological sort when battle-tested engines exist?” Scope creep kills deadlines. Activiti, Camunda, Temporal bring history tables, event buses, cluster locks—overkill for “drag nodes, run in order, show logs”. Educational leverage. Implementing Kahn’s algorithm …
How I Built a Manhua Video App in 8 Days for $20: AI-Powered Mobile Creation
1 months ago 高效码农8 Days, 20 USD, One CLI: Building an Open-Source AI Manhua-Video App with Claude Code & GLM-4.7 Core question answered in one line: A backend-only engineer with zero mobile experience can ship an end-to-end “prompt-to-manhua-video” Android app in eight calendar days and spend only twenty dollars by letting a CLI coding agent write Flutter code while a cheap but powerful LLM plans every creative step. 1. Why Another AI-Video Tool? The Mobile Gap Core question this section answers: If web-based manhua-video makers already exist, why bother building a mobile-native one? Every existing product the author tried was desktop-web only, asking …