Hey folks, let’s take a trip down memory lane. Some of y’all remember the good ol’ days of the early 2000s when we’d hit F1 and magically summon the help documentation to save us from our coding woes? Ok, maybe it was Stackoverflow then, but regardless we had a whole set of companies that thought it a good idea to base interviews off of the documentation, and that became dubbed the
F1 Interview” or “Documentation Interview”. Fast forward to 2024, and here we are, stuck with the modern equivalent of that dreaded F1 interview: the infamous “code challenge” in technical interviews. It’s time we talk about why these challenges are the new bane of existence for building effective software development teams.
The Rise of the Code Challenge
Oh the magnificent code challenge /s. It’s like a rite of passage now. You’ve got your resume polished, your GitHub repo gleaming, and your LinkedIn profile looking sharp. But before you can even think about landing that dream job, you’re hit with a coding challenge that makes you question your very existence.
These challenges usually involve solving some obscure problem that you’ll never encounter in the real world. You know the ones: reverse a binary tree, find the longest palindromic substring, or implement a LRU cache. It’s like being asked to juggle flaming swords while riding a unicycle for a bicycle messenger gig. Pointless. Sure, it’s impressive and cool being able to juggle flaming swords on a unicycle, but how often are you going to need that skill on the job?
The AI Elephant in the Room
Let’s face it: AI has revolutionized how we approach coding problems. Need to solve a LeetCode problem? ChatGPT or any other AI tool can whip up a solution in about 5 seconds. It’s like having an all-knowing genie in your back pocket. So why are we still using these antiquated code challenges to assess developers?
The truth is, these challenges prove nothing. They don’t show whether a developer can build a robust system, architect a scalable solution, or even write maintainable code. They’re just a test of who can memorize algorithms and regurgitate them under pressure. And guess what? That’s not what real-world development is about.
The Real Skills That Matter
In the real world, coding isn’t just about writing lines of code. It’s about putting together systems, figuring out what actually needs to be coded up vs. configured vs. whatever else, and making sure those systems are observable, well-logged, performant, and maintainable. Here’s what we should be focusing on:
System Design
Can you design a system that scales (it’s mostly a solved problem right?)? Can you think through the architecture of a complex application and make decisions that will stand the test of time? These are the questions we should be asking. It’s about seeing the bigger picture and understanding how different components fit together.
Problem-Solving
Real-world problems are messy and don’t come with a neat set of inputs and outputs. Can you navigate through ambiguity and find a solution that works? Can you prioritize what needs to be done and figure out the most efficient way to do it? This is what separates good developers from great ones.
Observability and Logging
Once your system is up and running, can you monitor it effectively? Can you set up logging that will help you debug issues quickly? Observability is key to maintaining a healthy system, and it’s a skill that’s often overlooked in technical interviews.
Deployment and Maintenance
Building a system is one thing, but deploying it and keeping it running smoothly is another. Can you set up a CI/CD pipeline? Can you handle rolling updates without downtime? These are the practical skills that companies should be looking for.
A Call to Action
It’s time to ditch the code challenges and start focusing on what really matters. Let’s design interview processes that test a developer’s ability to build, deploy, and maintain systems. Let’s look for problem-solvers, system(s) thinkers, and engineers who can navigate the systemic complexities of real world systems we’re building and have built!
So, next time you’re preparing for an interview, don’t stress too much about memorizing algorithms. Focus on honing your real-world skills. If you’re an interviewer, please, for the love of all that’s good and logical, rethink your approach and flip to a wholistic interview process that takes into account the understanding of systemic complexities!
Let’s make the tech world a better place, one interview at a time. Until next time, keep coding and keep questioning the status quo!
With that, another rant from yours truly. Feel free to share your thoughts in the comments, and let’s keep the conversation going. Cheers!
