3 रिपॉजिटरी
Code generators that use specific source code comments as directives to produce manifests and boilerplate.
Distinct from Source Code Generators: Specifically uses code markers/comments rather than general AST or structured representations for generation
Explore 3 awesome GitHub repositories matching programming languages & runtimes · Marker-Based Generators. Refine with filters or upvote what's useful.
Kubebuilder is a framework and set of scaffolding tools used to build Kubernetes APIs and controllers. It functions as an operator framework that provides generators for custom resource definitions, admission webhooks, and RBAC manifests to extend cluster functionality. The project distinguishes itself through marker-based code generation, which parses source code comments to automatically produce Kubernetes manifests and boilerplate logic. It employs a hub-and-spoke versioning model to translate data between multiple API versions and uses a three-way merge strategy to automate project migrat
Automatically generates Kubernetes manifests and boilerplate logic by parsing special marker comments in source code.
terraform-docs is a Terraform module documentation generator and infrastructure as code documenter. It extracts inputs, outputs, and resources from Terraform configuration files to automatically create formatted technical guides and metadata exports. The tool functions as a multi-format metadata exporter, transforming module information into Markdown tables, AsciiDoc, JSON, YAML, XML, and TOML. It also serves as a CI/CD documentation automator, allowing for the integration of documentation updates into commit hooks and deployment pipelines. Capability areas include module documentation extra
Scans source code comments for specific keywords to omit resources or variables from the final documentation.
This project is a database toolkit for Go that provides schema-to-object mapping, fluent query construction, and automated code generation. It functions as a framework for type-safe database access, enabling developers to interact with relational databases by generating models and interfaces directly from existing database schemas. The toolkit distinguishes itself through a workflow that parses hand-written SQL files to generate type-safe functions, allowing for the integration of custom SQL while maintaining consistent result mapping. It supports modular customization through a plugin-based
Uses embedded SQL comments to define function names and result types for controlling the generated code structure.