Fast, configurable, extensible, flexible, and beautiful linter for Go. Drop-in replacement of golint. Revive provides a framework for development of custom rules, and lets you define a strict preset for enhancing your development & code review processes.

Random integer generation is a fundamental operation in programming, often used in tasks like shuffling arrays. Go’s standard library provides convenient tools like rand.Shuffle for such purposes. You may be able to beat the standard library by a generous margin. Let us see why.

The GitHub MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with GitHub APIs, enabling advanced automation and interaction capabilities for developers and tools.

A Go library for generating Anki decks programmatically.

Go-ansible is a Go package that allows executing Ansible commands, such as ansible-playbook, ansible-inventory, or ansible, directly from Golang applications. It offers a variety of options for each command, facilitating seamless integration of Ansible functionality into your projects. It is important to highlight that go-ansible is not an alternative implementation of Ansible, but rather a wrapper around the Ansible commands. Let's dive in and explore the capabilities of go-ansible together.

Outpost is a self-hosted and open-source infrastructure that enables event producers to add outbound webhooks and Event Destinations to their platform with support for destination types such as Webhooks, Hookdeck Event Gateway, Amazon EventBridge, AWS SQS, AWS SNS, GCP Pub/Sub, RabbitMQ, and Kafka.

listmonk is a standalone, self-hosted, newsletter and mailing list manager. It is fast, feature-rich, and packed into a single binary. It uses a PostgreSQL database as its data store.

Graceful shutdown in any application generally satisfies three minimum conditions:

1. Close the entry point by stopping new requests or messages from sources like HTTP, pub/sub systems, etc. However, keep outgoing connections to third-party services like databases or caches active.
2. Wait for all ongoing requests to finish. If a request takes too long, respond with a graceful error.
3. Release critical resources such as database connections, file locks, or network listeners. Do any final cleanup.

This article focuses on HTTP servers and containerized applications, but the core ideas apply to all types of applications.

For many years, I've used third-party packages to help organize and manage middleware in my Go web applications. In small projects, I often used alice to create middleware 'chains' that I could reuse across multiple routes. And for larger applications, with lots of middleware and routes, I typically used a router like chi or flow to create nested route 'groups' with per-group middleware.

But since Go 1.22 introduced the new pattern matching functionality for http.ServeMux, where possible I've tried to drop third-party dependencies from my routing logic and shift to using just the standard library.

But going all-in on the standard library leaves a good question: how should we organize and manage middleware without using any third-party packages?

The original motivation for the creation of Bloom filters is efficient set membership, using a probabilistic approach to significantly reduce the time and space required to reject items that are not members in a certain set.

The data structure was proposed by Burton Bloom in a 1970 paper titled "Space/Time Trade-offs in Hash Coding with Allowable Errors". It's a good paper that's worth reading.