Linear Cost Tuning

About

Linear Cost Tuning provides developers with a comprehensive framework for managing Linear API interactions efficiently. It helps teams reduce costs and stay within rate limits by implementing sophisticated patterns such as request coalescing, conditional fetching with ETags, and webhook filtering. The skill offers actionable code patterns for auditing usage, calculating query complexity, and transitioning from expensive polling to event-driven architectures, ensuring that Linear integrations remain performant and cost-effective as they scale.

Key Features

• Request coalescing to reuse in-flight API calls
• Conditional fetching patterns using ETags and caching
• 982 GitHub stars
• Usage tracking and monthly request projection metrics
• Webhook event filtering to reduce unnecessary processing
• GraphQL query complexity optimization and estimation

Use Cases

• Reducing infrastructure costs associated with high-frequency polling
• Auditing and monitoring Linear API consumption across large engineering teams
• Scaling Linear integrations without hitting API rate limits