H.

How to Land Your First Tech Job: Or at least what I will tell you

By In Technology


Ah, the age-old question that haunts every college graduate’s dreams: “How do I get a job?” But not just any job. A job that doesn’t involve asking, “Would you like fries with that?” unless it’s a cheeky Slack message to your new tech team while deploying code (because, let’s face it, multitasking is key).

So, you’re fresh out of college, armed with a degree, and ready to conquer the tech world. But there’s a catch – everyone wants experience, and you’re fresh out of that. It’s like needing a job to get experience but needing experience to get a job. A real chicken and egg situation, except less philosophical and more annoying.

Now, before you start sending LinkedIn invites to every CEO with a pulse, hoping one of them will notice your enthusiasm (or desperation), let’s talk strategy.

1. Start a Blog – No, Seriously

First things first, start a blog. I give this advice to everyone, and you’re not going to take it, but I will keep trying.

“But I’m not a writer,” you protest. Well, guess what? Neither are most of your competitors when it comes to that job interview. But here’s the thing – writing helps you articulate thoughts, share knowledge, and most importantly, shows you’re committed. Write about what excites you in tech. Dissect the latest AI breakthrough, or maybe just rant about why tabs are better than spaces. It’s your stage. It’ll also help you greatly when interviewing. If you’ve actually researched and forced yourself to write about a topic, it’s WAY easier to talk about it.

If the thought of cranking out 500 words twice a week makes you sweat, consider this: if you can’t commit to a blog, how will you commit to a job? Harsh but fair.

2. Ship Something… Anything!

Next, if you’re a coder, designer, or any species of maker, you need to create something and get it out into the world. A portfolio is great, but a product is better. It doesn’t have to be the next Facebook. Heck, it can be a to-do list app that makes a satisfying ‘ding’ sound when you check off an item. But it shows you can see a project through from start to finish. Plus, nothing beats the thrill of seeing your creation out in the wild, even if it’s only used by three people (including your mom). And three users is way more than what most juniors come to interviews with.

3. Polish That LinkedIn Profile

Ah, LinkedIn, the worse MySpace of the professional world. It might not be the most exhilarating social network, but it’s where the grown-ups and LinkedIn Lunatics go to humble brag. So, get your profile in tip-top shape. Showcase your blog, add a professional photo (no, your beach selfie doesn’t count), and maybe sprinkle in a few insightful comments on posts. Show the world you know how to play the game. It’s only for show as a junior, and everyone knows it, so don’t go overboard.

4. Read. Then Read Some More.

While not the world’s biggest Jim Mattis fan, I got a bit of a kick in the pants after reading his Call Sign Chaos: Learning to Lead. In it he said “If you haven’t read 100 books on the field in which you claim to be an expert, then you are functionally illiterate.” That was a bit of a wake up call for me as a CEO. So if you’re a junior, lets make that rule “If you haven’t read at least five books about your chosen profession, you’re not ready to be a junior anything.” It’s a bold claim, but let’s face it, you’re competing with people who live and breathe this stuff. Catch up.

5. Network, Even If It’s Painful

Finally, networking. Yes, it’s awkward. Yes, it feels like speed dating but with business cards. But knowing what’s happening in your field and who the players are is invaluable. So, go to those tech meetups, chat with people, and yes, maybe even endure a few boring conversations about someone’s revolutionary blockchain startup. Try and meet one or two people who know me before you reach out to me. Then we can have someone to gossip about, and it’ll feel more personal. Tampa has a few good tech networks that throw decent, free events where you can find people who know me. Check out Tampa Bay Wave, Embarc Collective, and Tampa Bay Technology Forum.

And there you have it. Five steps to improve your odds of landing a job in tech. Most won’t follow this advice, but if you do, you’ll be ahead of the game. And who knows, one day, I might be asking you for a job. Or at least, for some tips on my blog.

Previous ArticleNext Article
I help companies turn their technical ideas into reality.

CEO @Sourcetoad and @OnDeck

Founder of Thankscrate and Data and Sons

Author of Herding Cats and Coders

Fan of squash, whiskey, aggressive inline, and temperamental British sports cars.

Leave a Reply

The State of AI-Coded Software, May 2025

In Software, Technology

I’ll probably regret writing this. At the very least, I’ll cringe reading it in a few months. But here we are.

Lately, we’ve been getting a wave of client requests asking us to evaluate software they built using AI tools. These aren’t engineers. These are business folks using increasingly powerful AI products to try and build functioning systems. And to be completely honest, the results are both impressive and a bit alarming.

People are building whole applications on their own. Backends, frontends, user interfaces, even some database logic. Sometimes they even look good. These are smart people who don’t know how to code but have managed to produce working systems.

The problems show up immediately when we start reviewing the internals. The code is usually a mess. In many cases, it would be extremely difficult to maintain or extend. And if you need to move that code from the platform it was created in to a cloud provider like AWS, you’re going to hit a wall. These platforms wrap everything in layers of scaffolding that make portability a nightmare.

Security is worse. We’ve found plaintext credentials scattered across files. We’ve seen SQL injection vulnerabilities that shouldn’t even be possible in modern frameworks. We’ve seen structural issues that would get flagged in a freshman CS class.

Despite all that, what people are creating are legitimate prototypes. They’re functional. They run. But when you’ve put a few weeks into building something, and you show it to a software engineer, it’s hard to hear that your shiny new thing needs to be rebuilt from scratch.

I want to be clear. I am not anti-AI. Almost everyone at my company uses AI tools every day. We use Copilot, Cursor, ChatGPT, Claude, and more. We build out frontends with tools like v0 and Lovable. These tools have changed how we work.

Some of our engineers report productivity improvements of 30 to 40 percent. That’s not a rounding error. That is a major shift. But they are still writing the code. They are reviewing it. They are checking for performance, clarity, security, and maintainability. They are not letting the tools decide architecture. They are using AI like they use autocomplete or linters, but with more power behind it.

This is also where expectations need to be adjusted. These systems will not save you 90 percent on development. They will not let you skip engineering altogether. But if they save you 30 percent, that’s a real gain. Imagine you’re building a house. The general contractor says it’s going to be $500,000. You tell them you already did the blueprints, filled out all the permits, and figured out the site plan using some AI tools. If they came back and said, “Alright, I’ll knock 30 percent off,” that would be the best deal of your life. That’s where we are today with AI-generated software. A solid start. A real value. Not a replacement.

For me personally, AI has made it fun to write code again. I haven’t been a working programmer in over a decade, and most modern toolchains are enough to scare me off. Now, with the right assistance, I can build something without getting stuck on Docker configs and dependency mismatches. That’s a big deal.

In the startup world, AI-first development is everywhere. Most of the current Y Combinator batch is using AI tools to write the bulk of their code. But those teams are highly technical. These are engineers using better tools, not tools replacing engineers.

So for non-developers using AI to build products, here are three things you should keep in mind:

  1. These tools are great for building prototypes. If you build something yourself, you will understand it better and will be a better partner to your engineering team. That matters.
  2. These tools can help you build usable frontend components. You probably won’t want to go live with them, but they can get you close enough to work with a real development team.
  3. If your app is small, non-critical, doesn’t store sensitive data, and lives entirely in its native platform, you can probably keep it running. That’s fine for internal use or personal projects.

One day, you’ll be able to speak an app into existence and deploy it with a voice command. It will be fast, secure, and beautiful. But today, you still need an experienced software engineer to check your work before you send real data through it. That’s just where we are right now.

The upside is huge. We can now get experts from other domains to build working prototypes and test ideas without needing an engineering team on day one. That’s powerful. But if your product is going to handle sensitive data or support real users, bring in someone who knows what they’re doing. Not because the AI is bad. Because the stakes are high.