This repository implements the Go programming language: a complete compiler toolchain, runtime, and standard library. The compiler (`cmd/compile`) translates Go source into machine code through an SSA intermediate representation with architecture-specific backends. The `go` command (`cmd/go`) provides module management, build orchestration, testing, and toolchain version selection. The runtime (`src/runtime`) handles goroutines, GC, memory management, and platform abstractions. The standard library (e.g., `net`, `crypto`, `os`, `encoding`, `testing`) offers production-ready packages. The architecture is modular: clear separation between toolchain commands and library packages, heavy use of internal packages for shared low-level functionality (e.g., `internal/cpu`, `internal/poll`, `internal/bytealg`), and extensive platform-specific code via build tags. The codebase is exceptionally well-engineered, with comprehensive test coverage, fuzz testing, and a rigorous change control process. It is the reference implementation of the Go language and defines the ecosystem's standards.
Delve is a full-featured debugger for the Go programming language. It provides a command-line interface (CLI) and supports integration with IDEs via the Debug Adapter Protocol (DAP). The debugger allows users to control program execution, inspect variables and memory, set breakpoints and watchpoints, examine stack traces and goroutines, and evaluate expressions. It supports multiple operating systems (Linux, Windows, macOS, FreeBSD) and architectures (amd64, arm64, ppc64le, riscv64, loong64) and includes advanced features such as eBPF-based tracing, reverse debugging via Mozilla rr, and core dump analysis. The architecture is modular, with clear abstractions for OS-specific, architecture-specific, and backend-specific code, enabling maintainability and extensibility.
gosec is a production-grade static analysis security scanner for Go source code. It analyzes Go programs by traversing the AST and SSA representations to detect a wide range of security vulnerabilities, including SQL injection, command injection, path traversal, cross-site scripting (XSS), hardcoded credentials, weak cryptography, TLS misconfigurations, and more. The tool is distributed as a CLI binary, a Docker image, a GitHub Action, and a reusable Go library. The architecture is modular: a core analysis engine loads Go packages, applies AST-based rules and SSA-based analyzers, and runs a configurable taint analysis engine that tracks data flow from user-controlled sources to dangerous sinks. Results are output in multiple formats (text, JSON, SARIF, CSV, JUnit, HTML, SonarQube, golint, YAML). The tool also integrates with AI providers (OpenAI, Claude, Gemini, Atlas) to suggest automated fixes for detected vulnerabilities. Notable design highlights include a generic LRU cache for regex matching, a path-based rule exclusion filter, a comprehensive CWE knowledge base, and a well-abstracted taint analysis configuration system. The codebase demonstrates strong engineering practices with extensive test coverage, performance benchmarks, and CI/CD pipelines for release and scanning.
oapi-codegen is a production-grade OpenAPI 3.0/3.1 code generator for Go that produces idiomatic server stubs, typed HTTP clients, and data models. It supports multiple Go web frameworks (Chi, Echo, Fiber v2/v3, Gin, Gorilla, Iris, and stdlib net/http) and generates both plain and strict server interfaces with middleware composition, request validation, and error handling. The generator is configurable via YAML files and offers features like import mapping for multi-package specs, OpenAPI overlay support, webhook generation, streaming responses, custom struct tags, and configurable schema-merging behaviors (v1/v2/v3) for allOf/anyOf/oneOf composition. The architecture is a library with a CLI wrapper (`cmd/oapi-codegen`). The core generation pipeline loads and validates an OpenAPI spec, gathers schemas from components/operations, resolves naming collisions, merges composed schemas, prunes unused components, and renders Go source files via user-overridable text/template files. The codebase is extensively tested with hundreds of generated regression tests covering edge cases in schema composition, parameter serialization, content types, and framework-specific behavior. The generator also embeds the original spec as a compressed base64 blob in generated packages for runtime access. Key reusable components include a robust naming resolution algorithm with collision handling, a configurable struct tag generation system with eager validation, a dead-code elimination module for pruning unused schema components, and standalone security providers (Bearer token, API key, Basic auth) for generated clients. The project maintains compatibility layers for schema-merging behavior versions and deprecated APIs, ensuring smooth upgrades while preserving existing generated code.
This repository is the source code and build toolchain for the Go by Example website (https://gobyexample.com), an educational tutorial for the Go programming language (a concurrent, channel-based language). The site teaches Go through annotated example programs. The repository contains example source files (Go code with embedded documentation), a set of command-line tools written in Go that parse these examples, render them into HTML using templates, and output a static site. The build pipeline includes syntax highlighting via chroma, Markdown rendering via blackfriday, and deployment to S3. The project also includes a local preview server, a line length enforcer, and CI/CD via GitHub Actions that regenerates the site and diffs against the committed output to ensure consistency. The architecture is a collection of focused Go tools (generate, serve, upload, measure, test) orchestrated by shell scripts. The codebase demonstrates clean separation of concerns, template-driven HTML generation, and a custom lexer for shell output formatting.
The Go vulnerability management tool is a command-line application designed to analyze Go code and binaries for known vulnerabilities. It uses a vulnerability database curated by the Go security team to identify vulnerabilities in dependencies. The tool provides features such as JSON and SARIF output formats for reporting vulnerabilities.
This repository is a comprehensive collection of Go language learning notes, organized into multiple directories covering basic syntax, concurrency, project management, web programming, popular frameworks (e.g., Gin), microservices, standard library, and Go runtime internals. The content is presented as Markdown files with embedded code snippets and diagrams, serving as a structured tutorial for Go developers. It does not contain any executable Go code or reusable software components; it is purely educational material. The notes are well-structured and cover a wide range of topics from beginner to advanced, making it a valuable reference for learning Go.