Building scalable event-driven applications requires robust messaging infrastructure that works seamlessly with your chosen protocols. We've covered payload generation, header management, and type-safe routing. Now let's explore how The Codegen Project's channels generator creates protocol-specific functions that streamline your messaging architecture while working with your favorite messaging systems.
Building event-driven applications often requires dynamic channel routing based on parameters like user IDs, tenant identifiers, or resource keys. Manually constructing these parameterized channels is error-prone and makes your code fragile. We've explored generating payload models, headers, and type-safe channels. Now let's see how The Codegen Project's parameters generator creates type-safe models for dynamic channel construction.
Building event-driven applications with multiple channels often leads to a common but critical problem: hardcoded channel names scattered throughout your codebase. One typo in a channel name can send events to the wrong destination or create silent failures. We've already explored generating models for payloads and headers. Now let's see how The Codegen Project's types generator provides compile-time safety for all your channel routing.
Building robust event-driven applications requires more than just payload validation - you need proper header management for authentication, tracing, routing, and metadata. In our previous post about payload generation, we showed how to generate type-safe data models. Now let's explore how The Codegen Project's headers generator can streamline your messaging infrastructure by handling the metadata side of your messages.
Building event-driven applications often means spending countless hours writing and maintaining payload models. What if you could generate these models automatically from your AsyncAPI specification while keeping full control over your infrastructure code? In this post, we'll explore how The Codegen Project's payload generator can save you time and reduce errors.
Since the release of v0.33, we've been diligently enhancing the Codegen CLI to make generated code safer, more intuitive, and aligned with real-world development practices. Spanning versions v0.34.0 through v0.39.0, this update introduces significant improvements, including automatic payload validation enabled by default and unified parameters.
TLDR:
The Codegen Project provides several ways to customize the generated code output through AsyncAPI extensions. In this post, we'll explore the available customization options and how to use them effectively.
It has been a while since the last update, almost 5 months to be exact, all these improvements have been happening while building the SDK platform, using the CLI as it's pillars.
Since our last update in October 2024, we've evolved the project with new features, expanded protocol support, crucial fixes, and improved documentation. Instead of just listing the changes, we want to share the journey of how we grew The Codegen Project CLI from version 0.23.0 to 0.33.0.
Apollo GraphQL code generator has always been a pleasure to use, but when it comes to standards such as OpenAPI and AsyncAPI, the same level of code generator or simplicity during the implemenation phase is non-existing.
That is what this project wants to bring;
A bit ambitious perhaps... So how?
Welcome to The Codegen Project, we are really excited to show you what we have started 🔥
Stay tuned!