golang-stay-updated
Stay Updated with Go
A curated guide to keeping your finger on the pulse of the Go ecosystem.
Official Go Resources
| Resource | URL |
|---|---|
| go.dev | Official Go website with tutorials and tools |
| pkg.go.dev | Discover Go packages and documentation |
| tour.golang.org | Interactive Go tutorial |
| play.golang.org | Go playground for testing code |
| go.dev/blog | Official Go blog |
Newsletters
| Newsletter | Description | Subscribe |
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Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.
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Write TypeScript and JavaScript code like a top engineer using functional programming principles. Use when writing new code, reviewing existing code, or refactoring TS/JS projects. Applies pure functions, immutability, function composition, higher-order functions, declarative style, and avoiding shared state using native patterns only (no external libraries). Always analyzes the existing codebase first to understand patterns and conventions before making changes or suggestions.
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Act as a UI engineer to iterate on design details and produce production-grade frontend interfaces. Use when the user provides a PRD (Product Requirements Document) or an existing concept app and wants to refine the UI through clarifying questions before implementation. Outputs HTML/CSS with Tailwind, optional vanilla JS. Focuses on minimalist aesthetics, semi-bold typography, responsive design, and avoids generic AI look, excessive icons, or emojis.
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In-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing key caching, and Prometheus metrics. Apply when using or adopting samber/hot, when the codebase imports github.com/samber/hot, or when the project repeatedly loads the same medium-to-low cardinality resources at high frequency and needs to reduce latency or backend pressure.
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