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 Flutter Architecture Patterns?

Building cross-platform Flutter apps. Implementing state management in Flutter. Optimizing Flutter performance. Structuring large Flutter projects

When should I NOT use Flutter Architecture Patterns?

React Native applications. Native iOS/Android without Flutter. Web-only Dart applications

Mobile flutter critical

Flutter Architecture Patterns

Flutter best practices with Riverpod state management, feature-first architecture, widget composition, and performance optimization.

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

Flutter: Use Riverpod for state management with AsyncNotifier. Feature-first folder structure. Const constructors for widgets. ListView.builder for lists. Keys for stateful list items. RepaintBoundary for animations. Prefer composition over inheritance.

Use When

Building cross-platform Flutter apps
Implementing state management in Flutter
Optimizing Flutter performance
Structuring large Flutter projects

Skip When

React Native applications
Native iOS/Android without Flutter
Web-only Dart applications

Flutter Architecture Patterns

Flutter best practices with Riverpod state management, feature-first architecture, widget composition, and performance optimization.

Discussion

Jetpack Compose & Kotlin Patterns critical SwiftUI & Swift Concurrency Patterns critical React Native & Expo Patterns critical

Flutter Architecture Patterns

Quick Reference

Use When

Skip When

Flutter Architecture Patterns

Discussion

Strictly Necessary

Analytics

Functional