Search Results for "patterns"

...Nebulex cache abstraction shields developers from directly dealing with the underlying caching implementations, such as Redis, Memcached, or even other Elixir cache implementations like Cachex. Additionally, it provides totally out-of-box features such as cache usage patterns, declarative annotation-based caching, and distributed cache topologies, among others. For intensive workloads, you may want to use :shards as the backend for the local adapter and having partitioned tables. In such a case, you have to add :shards to the dependency list. For enabling the usage of declarative annotation-based caching via decorators, you have to add :decorator to the dependency list.

Commanded is an Elixir framework for implementing CQRS (Command Query Responsibility Segregation) and Event Sourcing patterns. It provides domain-driven design tools—aggregates, commands, events, and projections—backed by an event store (e.g. PostgreSQL).

Credo is a static code analysis and linting tool for the Elixir language, with an emphasis on promoting code consistency, teaching best practices, and helping developers identify refactoring opportunities, style inconsistencies, and potentially problematic code patterns. Elixir plugin for JetBrains IDEs (IntelliJ IDEA, Rubymine, PHPStorm, PyCharm, etc). Checks your code from style to security, duplication, complexity, and also integrates with coverage.

Phoenix is a high-performance, productive web development framework written in Elixir. It runs on the Erlang VM (BEAM). It is designed to support both traditional request/response web applications. It also supports real-time, soft-real-time applications via WebSockets, channels, PubSub, and presence features. Phoenix emphasizes fault tolerance, scalability, and developer productivity. It provides tools like code generators, LiveView integration, templating, routing, and a flexible plug...

...The smells are grouped into two categories: design-related (coarse-grained, harder to detect, affecting architecture/processes) and low-level concerns (fine-grained, often readability and maintainability issues). The catalog evolves with community feedback and contributions, aiming to help developers recognize harmful patterns and apply disciplined refactoring to improve maintainability, testability, and performance in Elixir systems.

...Real-time updates and responsive interactions are handled using Phoenix’s live capabilities and channels, demonstrating how to mix server-driven UI with interactive client behavior. Background jobs, caching, and pagination patterns are laid out in a way that scales from small communities to heavier usage. The codebase emphasizes maintainability with clear contexts, test coverage, and a straightforward deployment story. As a learning resource, it helps teams see how to stitch together Phoenix primitives into a cohesive, production-leaning application.

...Its goal is not just speed but also clarity, ensuring that performance improvements do not come at the cost of readability and maintainability. With continuously updated examples, Fast Elixir helps both beginners and experienced Elixir programmers adopt better habits and avoid slow patterns.

...It promotes predictable, law-abiding behavior through property-based testing helpers and a focus on algebraic reasoning. Teams reach for Witchcraft when they want to structure business logic with reusable, mathematically grounded patterns that remain idiomatic to the BEAM.