Pet Projects: How to Do Them Right and Avoid Burnout

I had many pet projects. And almost none of them made it to production. This is a common story, although at the start it seems like you just "didn't push hard enough." Usually, it all starts the same way. You want to improve your skills, come up with a project, and immediately think in terms of a product: I'll create a service, launch a portal, start earning. I went through this too. I tried to write code, create content, and promote all at the same time. At some point, it became clear that this is not development. This is a separate business. And it's a completely different level of complexity.

And here is an important turning point. A pet project is not a startup. It's a training tool. If you confuse these things, you will burn out. Why do most pet projects not reach completion? Because the scope is too large, there is no clear goal, it gets mixed with the main job, and there are expectations that "it should take off." As a result, there is no outcome, motivation drops, the project is abandoned, and it seems like the problem is with you. But the problem was initially in the approach.

How it looks for me now. Previously, I did pet projects as an attempt to create a product. Now it's more like a laboratory. For example: trying out a new framework (Laravel, Symfony), testing architecture (DDD, aggregates, boundaries), checking a technical solution. It's no longer "building a service." It's "testing a hypothesis."

First rule: don't make a big project. Not an Uber clone, not a marketplace, not a startup. Create one limited module, such as CSV import with validation, reporting, integration with an external API, role system. Things that are actually encountered in work.

Second rule: repeat real scenarios. Not abstract tasks, but those you will face: data processing, working with queues, integrations, validation, errors. A pet project should resemble real work, not a toy.

Third rule: use the pet project as an architecture laboratory. It's the best place to try DDD, play with boundaries, test structure. Because you don't risk production, you can make mistakes, you can redo things. But the most important thing is the ability to test technical hypotheses. For example, we had a situation: we realized that in Laravel a significant amount of time is spent on bootstrap. And the idea came up — to try replacing the built-in DI container with a faster one, like PHP-DI. According to benchmarks, it looked faster. But benchmarks are not a system. The question was different: how difficult is it to implement, how will it affect the current code, will it break the architecture. Such things cannot be tested in production. And here, a pet project is the ideal environment. You can set up an isolated project, implement the library, check the integration, understand the real complexity, and only then make a decision. In this case, a pet project is not "playing around," but an engineering testing ground.

Fourth rule: don't mix it with your main work. The most common mistake: during the day you work, in the evening you try to "build a product." The result is overload, loss of focus, burnout. A pet project should be limited in time, limited in task. You complete it, gain experience, and move on.

But as a development tool, it is one of the best formats. Because you expand your stack, test approaches, and gain practice. With experience, the quality also changes. Previously, my projects were without infrastructure, without CI/CD, just code on the server. Now, for example, CI/CD, proper deployment, infrastructure, quality tools. This is already a reflection of accumulated experience. And this is another important point. Pet projects show your growth. If after a year you are doing them the same way, you are not growing. If the approach, structure, and tools change, then everything is going correctly.

In short, a pet project is not a product, a pet project is a simulator, its goal is skills, not money. And if used correctly, it gives more than chaotic learning.