[KongchangAI]

#Agent工作流

15 related articles

Cursor's Agent Team in Practice: How to Break Through the 40% Productivity Ceiling
·3 min

Cursor's Agent Team in Practice: How to Break Through the 40% Productivity Ceiling

Cursor shares how AI coding tools plateau at 40% productivity gains — and how building agent teams across the full SDLC breaks through that ceiling.

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The Secret Behind 2000 PRs a Month: Lauren's AI Agent Trust Workflow
·4 min

The Secret Behind 2000 PRs a Month: Lauren's AI Agent Trust Workflow

SpaceX AI engineer Lauren shares how she ships 2000+ PRs/month: not better prompts, but a trust-based Agent workflow built on verification skills, Agent-friendly codebases, static analysis, and the Dune framework.

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momo Canvas Universal Agent Tutorial: One Person, Full AI Short Drama Pipeline
·3 min

momo Canvas Universal Agent Tutorial: One Person, Full AI Short Drama Pipeline

A hands-on guide to the momo Canvas Universal Agent: preference setup, persistent skill slots, wireframe generation, MCP extensions, and media transfer — all in one free canvas workstation for AI short drama production.

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WorkBuddy Complete Beginner's Guide: Master Agent Workflows in 1 Hour
·5 min

WorkBuddy Complete Beginner's Guide: Master Agent Workflows in 1 Hour

A complete beginner's guide to WorkBuddy: master Agent workflows in 1 hour. Covers Skills/Connectors/MCP, task & permission management, five-part Prompt structure, and real-world use cases.

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AI Agent Approval Workflows: How to Handle Edits and Retries
·2 min

AI Agent Approval Workflows: How to Handle Edits and Retries

A deep dive into designing human-in-the-loop approval workflows for AI agents: reviewing exact requests, resuming execution, and handling edits and retries.

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Building an AI-Powered E-Commerce Business from Scratch: A Real-World Account of Multi-Agent Architecture for Print-on-Demand
·3 min

Building an AI-Powered E-Commerce Business from Scratch: A Real-World Account of Multi-Agent Architecture for Print-on-Demand

A blogger builds a print-on-demand e-commerce company from scratch using AI agents — documenting specialized Agent profiles, GPT-5.6 vs Claude Fable multi-model orchestration, and reusable skill accumulation.

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AI Agent Team Automating Short-Video Production: A Complete Workflow from Raw Material to Publishing
Tutorials
·2 min

AI Agent Team Automating Short-Video Production: A Complete Workflow from Raw Material to Publishing

Learn how multiple AI Agents form a collaborative team to automate short-video production end-to-end—from material mining and script generation to video packaging and cross-platform RPA publishing.

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Harness Engineering Explained: Building Stable and Efficient Work Systems for AI
Deep Dives
·3 min

Harness Engineering Explained: Building Stable and Efficient Work Systems for AI

Deep dive into Harness Engineering: how to build execution environments, toolchains, and feedback loops for AI. From Prompt Engineering to system-level engineering for stable AI production.

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Codex User Guide: Five Key Concepts for Mastering Agent Workflows
Tutorials
·2 min

Codex User Guide: Five Key Concepts for Mastering Agent Workflows

Codex is an Agent, not ChatGPT. Learn the five key concepts — Thread, Workspace, Tools, Patch, Verification — to master Codex's agent workflow effectively.

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Open Design: A Deep Dive into the 39K-Star Open Source Local Agent Design Engine
Product Reviews
·2 min

Open Design: A Deep Dive into the 39K-Star Open Source Local Agent Design Engine

Deep dive into Open Design, a 39K-star GitHub project that orchestrates local AI Agents like Claude Code and Cursor with 31 design Skills and Design Systems for engineered AI design workflows.

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How Insane Is AI Coding for Game Dev? One Month, One Card Game Clone, 100K Lines of Code
Tutorials
·2 min

How Insane Is AI Coding for Game Dev? One Month, One Card Game Clone, 100K Lines of Code

A developer used AI Coding tools to clone the card game Grand Bazaar in one month with 500 commits and 100K lines of code. Key methods include documentation-first strategy and Agent pipelines.

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AI Programming Post-Mortem: 6 Engineering Rules That Determine Project Success or Failure
Tutorials
·2 min

AI Programming Post-Mortem: 6 Engineering Rules That Determine Project Success or Failure

Post-mortem from a real Android project built with AI tools, distilling 6 engineering rules—from cross-project context to local environment loops and API contracts—that determine AI programming success.

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