sns-patterns

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or ...

Explains data fetching strategies including fetch on render, fetch then render, render as you fetch, and server-side data fetching. Use when implementing data loading, optimizing loading performance, or choosing between client and server data fetching.

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

Builds AI-native products using OpenAI's development philosophy and modern AI UX patterns. Use when integrating AI features, designing for model improvements, implementing evals as product specs, or creating AI-first experiences. Based on Kevin Weil (OpenAI CPO) on building for future models, hybrid approaches, and cost optimization.

Agent-to-Agent (A2A) executor implementation patterns for task handling, execution management, and agent coordination. Use when building A2A executors, implementing task handlers, creating agent execution flows, or when user mentions A2A protocol, task execution, agent executors, task handlers, or agent coordination.

ArgoCD ApplicationSets, progressive delivery, Harness GitX, and multi-cluster GitOps patterns

Composes GitHub Actions workflows. Reusable workflows, composite actions, matrix, caching.

Comprehensive guide for writing shell script tests using Bats (Bash Automated Testing System). Use when writing or improving tests for Bash/shell scripts, creating test fixtures, mocking commands, or setting up CI/CD for shell script testing. Includes patterns for assertions, setup/teardown, mocking, fixtures, and integration with GitHub Actions.

Master defensive Bash programming techniques for production-grade scripts. Use when writing robust shell scripts, CI/CD pipelines, or system utilities requiring fault tolerance and safety.

Use when implementing Apollo Client patterns for queries, mutations, cache management, and local state in React applications.

Use when designing URL structures, slug generation, SEO-friendly URLs, redirects, or localized URL patterns. Covers route configuration, URL rewriting, canonical URLs, and routing APIs for headless CMS.