#kanban AI workflow
65 related articles
·2 min
Troopr AI Scrum Master: Auto-Generating Standup Reports from Jira/GitHub Data
Troopr AI Scrum Master auto-reads Jira, GitHub, and Slack data to generate daily standup reports, flags progress anomalies, and continuously learns team collaboration patterns.
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·3 min
Self-Hosted Family Calendar Solutions Compared: Homeflow, Nextcloud, and Lightweight Alternatives
Compare self-hosted family calendar solutions including Homeflow, Nextcloud, Radicale, and Vikunja across CalDAV compatibility, multi-user management, and task integration.
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·4 min
Tiling Window Management: A New Interaction Paradigm for Multi-Agent Conversations
Exploring tiling window management for multi-agent AI conversations: how it solves parallel monitoring and observability challenges, real-world limitations, and the evolution from chat boxes to control consoles.
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·3 min
Nommer.ai: Turning Recipes into 2-Player Cooperative Cooking Mode
Nommer.ai is an iOS recipe app that intelligently splits any recipe into 2-player cooperative mode, enabling two cooks to work in parallel and complete dishes together with seamless coordination.
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·2 min
Kaneo: An Open-Source Self-Hosted Project Management Tool and a Best Practice in Minimalism
Kaneo is an open-source, self-hosted project management tool built with TypeScript, embracing minimalist design. Explore its features, architecture, and why it earned 4600+ GitHub Stars.
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·3 min
What Kind of GUI Do AI Agents Need? The Evolution from Chat Boxes to Task Consoles
Exploring GUI design for AI Agents: why chat boxes fall short, and how ideal agent interfaces need task visualization, human-in-the-loop intervention, state presentation, and multi-agent orchestration.
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·4 min
Banquish: A Mac Productivity Tool That Pins Live Web Fragments onto a Canvas
Banquish is a Mac app that clips live web fragments onto a free-form canvas, eliminating tab-switching hell. Combined with AI Agent automation, it creates personalized information dashboards.
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·3 min
Self-Hosted Team Collaboration Tools Compared: Zulip, Campfire, and Matrix in Real-World Testing
Real-world comparison of Teams alternatives for 8-15 person teams: Zulip's topic-based chat, Campfire's minimalist one-time purchase, and Matrix's decentralized deployment evaluated for features, cost, and ops.
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·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 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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·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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·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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