Erold is an AI-native project management platform built specifically for developers and AI agents to collaborate. It features MCP server integration, REST API, CLI tool, and a knowledge base that gives AI persistent memory across sessions.

How does Erold integrate with Claude Code?

Erold provides a native MCP (Model Context Protocol) server with 18 tools that Claude Code can use directly. This allows Claude to create tasks, update progress, access project knowledge, and manage your projects without any copy-paste.

Yes! Erold offers a free tier with 1 project and unlimited tasks. Pro is $5/month with pay-as-you-go pricing for extra resources. Only pay for what you use beyond included allocations.

What AI tools does Erold support?

Erold works with any AI tool that supports MCP or REST APIs, including Claude Code, Claude Desktop, Cursor, Windsurf, GitHub Copilot, and custom AI agents. The API-first design ensures compatibility with current and future AI tools.

What is MCP (Model Context Protocol)?

MCP (Model Context Protocol) is a standard protocol that allows AI assistants to interact with external tools and services. Erold's MCP server provides 18 tools for task management, knowledge base access, and project operations that AI assistants can use directly.

How is Erold different from Jira, Linear, or Asana?

Erold is built API-first for AI agents, not humans-first with APIs added later. Traditional tools require copy-paste to share context with AI. Erold lets AI assistants read tasks, update progress, and access project knowledge directly through MCP, API, or CLI.

What is the Knowledge Base feature?

The Knowledge Base is persistent memory for AI assistants. Store project context, coding standards, architecture decisions, and any information AI should remember across sessions. AI can read and write knowledge entries, making it smarter about your specific project over time.

Does Erold have a CLI tool?

Yes! The Yet CLI (npm install -g @erold/cli) provides full task management from your terminal. Create tasks, list projects, mark items done, and integrate with git workflows. Perfect for developers who prefer command-line tools.

When should I use Modal Dialog Design Best Practices?

Creating modal dialog components. Implementing confirmation dialogs. Building alert or warning modals. Designing form overlays. Making dialogs accessible

When should I NOT use Modal Dialog Design Best Practices?

Creating non-modal dialogs (sidebars, popovers). Building toast notifications. Implementing dropdown menus

UI/UX components critical

Modal Dialog Design Best Practices

Modal dialog patterns, focus management, escape key handling, backdrop design, and accessibility based on WCAG 2.2, WAI-ARIA APG, Material Design 3, and Nielsen Norman Group research.

Difficulty: intermediate
Read time: 1 min read
Version: v1.0.0
Confidence: established
Last updated: Updated Jan 8, 2026

Edit on GitHub Report Issue

Quick Reference

Use native <dialog> with showModal() for automatic focus trap and Escape key. Set aria-labelledby to dialog title. Return focus to trigger element on close. Use inert attribute on background content. Backdrop should be semi-transparent (rgba(0,0,0,0.5)). Respect prefers-reduced-motion for animations.

Use When

Creating modal dialog components
Implementing confirmation dialogs
Building alert or warning modals
Designing form overlays
Making dialogs accessible

Skip When

Creating non-modal dialogs (sidebars, popovers)
Building toast notifications
Implementing dropdown menus

Modal dialog patterns, focus management, escape key handling, backdrop design, and accessibility based on WCAG 2.2, WAI-ARIA APG, Material Design 3, and Nielsen Norman Group research.

Discussion

Button Design Best Practices critical Form Design Best Practices critical Navigation Design Best Practices critical Data Table Design Best Practices critical

Modal Dialog Design Best Practices

Quick Reference

Use When

Skip When

Discussion

Strictly Necessary

Analytics

Functional