#Kanban AI workflow
46 related articles
·4 min
7 Core Components for Designing Long-Running AI Agents
A deep dive into the 7 core components for building long-running AI Agents: Goal, Evaluator, Verifier, Loop, Orchestration, Observability, and Memory.
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·3 min
14 Days of AI Programming: From Zero to Product with Vibe Coding
A zero-to-product AI coding bootcamp by Guo Ke: 14 live sessions, 6 real projects, covering Cursor, Trae, and Codex. Full walkthrough from setup to deployment.
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·3 min
Multica: An Open-Source Tool for Managing Multiple AI Coding Agents from a Single Dashboard
Multica is an open-source AI Agent management tool that unifies Claude Code, Codex, Cursor and more into one visual dashboard with kanban, task queues, and cloud deployment support.
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·4 min
Understanding CI/CD from Scratch: Core Principles and Practical Introduction to Automated Deployment
A clear, practical guide to CI/CD: from Waterfall to DevOps, manual vs. automated deployment, and a full Jenkins + RuoYi hands-on learning path for beginners.
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·2 min
BatonBot: An Open-Source Kanban Tool for Managing AI Coding Agents
BatonBot is a local-first open-source kanban tool built for AI coding agents. Features prompt queuing, pipelines, Jira integration, and multi-model support.
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·7 min
OpenClaw vs Hermes: An In-Depth Comparison and Selection Guide for AI Agent Tools
An in-depth comparison of OpenClaw and Hermes Agent, covering skill management, memory mechanisms, security, and gateway configuration to help you find the right AI agent solution.
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·6 min
MCP Brings Power Apps Data Seamlessly into M365 Copilot: A Complete Implementation Guide
A Power Platform MVP demonstrates how to use MCP to securely expose Power Apps business data to M365 Copilot. Covers declarative agent creation, custom tool development, and VS Code setup.
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·4 min
9 Proven Methods to Make Hermes Agent Actually Work for You
9 battle-tested methods from hundreds of hours with Hermes Agent: model selection (Opus/ChatGPT/GLM), multi-agent failover, cross-device coordination via Tailscale, and reverse prompting workflows.
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·7 min
Fable AI Coding in Practice: Optimizing Reasoning Levels and Multi-Model Collaboration to Save Money
Hands-on guide: Use Anthropic's Fable model to optimize AI coding workflows — control reasoning levels, leverage Claude-Codex multi-model collaboration, and cut costs from thousands to $150.
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·7 min
Fable AI Coding in Practice: Optimizing Reasoning Levels and Multi-Model Collaboration to Cut Costs
How developer Theo used Anthropic's Fable model to rebuild his AI coding workflow — controlling reasoning levels, multi-model routing with Codex, and sub-agent orchestration to cut costs from thousands to $150.
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·6 min
The Seven Core Components of Building Long-Running AI Agents
An in-depth look at the seven core components for building long-running AI agents: Goal, Evaluator, Verifier, Outer Loop, Orchestration, Observability, and Memory. Master this control system for reliable autonomous agents.
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·3 min
Vibe Coding in 3 Hours: Building a Content Creator Competitor Radar That Auto-Analyzes Viral Videos
Build a content creator competitor radar with Vibe Coding in 3 hours: auto-fetch videos, local FunASR transcription, structured viral video analysis, and Feishu dashboard sync.
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Nimbalyst: An Open-Source Visual Workb…
·2 min
Nimbalyst: An Open-Source Visual Workbench That Unifies Codex and Claude Code
Nimbalyst is an open-source AI coding workbench that unifies Codex and Claude Code with Kanban project management, planning workflows, and AI Commits — no extra subscription needed.
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·4 min
Complete Beginner's Guide to Claude Code in 19 Minutes
A complete beginner's guide to Claude Code covering setup, Plan Mode, CLAUDE.md project memory, MCP connectors, Skills, Plugins, and deploying via GitHub and Vercel.
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Six Practical AI Automation Agent Use …
·3 min
Six Practical AI Automation Agent Use Cases: From Project Management to Sales Support
An in-depth analysis of six AI Agent automation tools covering project management, information aggregation, brand monitoring, sales support, file organization, and meeting prep for real-world workflows.
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·3 min
Vibe Coding Practical Guide: Tool Selection, Development Workflow, and Lessons Learned
In-depth analysis of Vibe Coding methodology covering Claude Code, Cursor, and Codex tool strategies, full development workflow tips, and four key principles for avoiding pitfalls in complex systems.
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·4 min
Deep Dive into Six AI Development Tools: Loop Recipe Library, Vercel Agent Framework, and More
Deep analysis of Loop workflow recipes, Vercel's open-source Agent framework, Pyker AI-native project management, Arrow P2P tool, DBX database client, and NVIDIA's Skill Spectre security tool.
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·4 min
A Practical Guide to Loop Engineering: Pain Points and Solutions in Automated AI Coding Workflows
Deep dive into Loop Engineering: core mechanisms, three major pain points (reliability, cost, context bloat), and Harness workflow solutions including mixed model strategies and Human in the Loop.
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·3 min
7 Practical Configurations for Claude Code + Codex Dual-AI Collaboration
7 practical configurations for Claude Code + OpenAI Codex dual-AI collaboration, from dual-window switching and official plugins to Skills evolution and bidirectional MCP Servers.
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·4 min
The Complete Beginner's Guide to Claude Code: Build and Deploy Apps with Zero Programming Experience
A complete guide to Claude Code from setup to deployment, covering Plan Mode, MCP connectors, reusable skills, CLAUDE.md project memory, and Vercel deployment — no coding experience needed.
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