Deptrac VS FizzBuzz Enterprise Edition

Deptrac

Deptrac: Keep your architecture clean.

So far I've found some tools which I could piece together to accomplish enforcing module boundaries, probably run as part of an automated github action. - https://github.com/qossmic/deptrac Uses YAML to define any boundary, you can also use @internal to hide implementation classes. Seems like a good way to achieve what I want.

How about https://qossmic.github.io/deptrac/ ?

>I wonder: Is automatic DI even helpful? You save some lines of boilerplate but sacrifice control over the initialization-order and get a flat, messy, implicit dependency graph

Initialization order doesn't matter if your services are stateless. At least in our codebase, all of them are stateless, as it greatly simplifies reasoning about concurrent code (both in-process and between servers). Yes, it's easy to end up with a very a convoluted dependency graph under the hood, but I don't think it's a problem you really should care about. I mean, your code most likely already compiles to a very convoluted mess of machine code under the hood (with all the optimizations, ABI quirks etc.) and I doubt it matters to you much, as long as it does its job well and doesn't hinder your productivity.

If you are talking about messy dependency graphs from the architectural standpoint (someone can easily add a dependency in the constructor without thinking about the consequences), we use deptrac for our PHP monolith which can validate your architecture is clean at build time [0]

However, for our microservices written in Go, we decided to use manual DI to stimulate developers to prefer simpler design, otherwise our microservices could quickly turn to monoliths again.

[0] https://github.com/qossmic/deptrac

Deptrac is a static code analysis tool for PHP that helps you communicate, visualize and enforce architectural decisions in your projects.

That "Hello World Enterprise Edition" looks dangerously under-engineered - I could understand it! Far better to follow the best practices demonstrated in the Fizz Buzz Enterprise Edition...

https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...

Clean code is a balancing act - you’ll want to make sure you don’t turn your codebase into something like this.

Bu hocam https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpriseEdition

amidoingitright

It seems to me that all large software projects eventually grow into "Enterprise" code. What I mean by this is something like FizzBuzz Enterprise Edition; large codebases with many layers where Design Patterns and SOLID principles are applied vigorously.

???

I'll answer your question with a question: Have you seen https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris... ? :)

I'm guess that to those of us who remember when Java came out, "FizzBuzz: EE" is what we think of when we think of Java. :P

In Java I have to type a bazillion characters to get anything done! And make all these useless directories and files and InterfaceClassFactoryProtocolStreamingSerializer BS. And worry about how that executes.

C++? No bloat*, just speed

*Yes, there's some _optional_ bloat. But compared to Java? no contest.