linear-reference-architecture
Production-grade Linear integration architecture patterns. Use when designing system architecture, planning integrations, or reviewing architectural decisions. Trigger with phrases like "linear architecture", "linear system design", "linear integration patterns", "linear best practices architecture".
- License 许可
- MIT
- 最近更新
- 2026-03-20
- Stars
- ★ 4
- Forks
- 0
01 前言 Front Matter
- name
- linear-reference-architecture
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- version
- 1.0.0
- description
- Production-grade Linear integration architecture patterns. Use when designing system architecture, planning integrations, or reviewing architectural decisions. Trigger with phrases like "linear architecture", "linear system design", "linear integration patterns", "linear best practices architecture".
- allowed-tools
- Read, Write, Edit, Grep
- compatible-with
- claude-code, codex, openclaw
02 资源文件 1
- 参考文档references/implementation.md10.4 KB
03 SKILL.md 正文
Linear Reference Architecture
Contents
Overview
Production-grade architectural patterns for Linear integrations. Covers simple, service-oriented, event-driven, and CQRS architectures.
Prerequisites
- Understanding of distributed systems
- Experience with cloud infrastructure
- Familiarity with event-driven architecture
Instructions
Step 1: Choose Architecture Pattern
| Pattern | Best For | Complexity |
|---|---|---|
| Simple Integration | Small teams, single app | Low |
| Service-Oriented | Medium teams, multiple apps | Medium |
| Event-Driven | Large teams, real-time needs | High |
| CQRS + Event Sourcing | Complex domains, audit needs | Very High |
Step 2: Implement Core Components
- Linear Gateway - Centralized API access with rate limiting and caching
- Webhook Ingester - Receive and validate Linear webhook events
- Event Processor - Apply business logic to incoming events
- State Store - Persist synchronized data locally
Step 3: Configure Infrastructure
- Set up caching layer (Redis for multi-service, in-memory for simple)
- Configure rate limiting (stay under 1500 req/min Linear limit)
- Deploy webhook endpoint with signature verification
- Set up monitoring and health checks
See detailed implementation for full code examples of all four architecture patterns plus project structure.
Output
- Architecture pattern selected and justified
- Core infrastructure components configured
- Rate limiting and caching in place
- Webhook handling operational
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Rate limit exceeded | Too many API calls | Implement gateway with rate limiter |
| Stale cache | TTL too long | Invalidate on webhook events |
| Event loss | Webhook failures | Use message queue with retries |
| Schema drift | API version changes | Pin SDK version, test upgrades |
Examples
Quick Start: Simple Integration
import { LinearClient } from "@linear/sdk";
const client = new LinearClient({ apiKey: process.env.LINEAR_API_KEY! });
const teams = await client.teams();
console.log(teams.nodes.map(t => t.name));
Resources
Next Steps
Configure multi-environment setup with linear-multi-env-setup.
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