From 5KB of RAM to Enterprise AI: Ken W. Alger's Developer Journey
CoderLegion Developer Stories
What does a developer's journey look like when it begins with a Commodore PET and a computer with just 5KB of RAM, decades before the web, Stack Overflow, or YouTube tutorials?
For Ken W. Alger, programming has been a journey spanning early personal computing, self-directed learning, career changes, modern software development, and now enterprise AI governance.
In this CoderLegion Developer Story, Ken shares how he first discovered programming, what he learned from building software with extremely limited resources, how his approach to development has evolved, and why he believes developers should focus less on choosing the "right" language and more on what they want to build.
How did you first get into programming?
Ken W. Alger: How much time do we have?
I started programming before the web existed, before Stack Overflow, before YouTube tutorials, and before most people even had computers at home. Today, that's not especially unusual, but when I was in elementary school, personal computers were just coming into existence.
In fourth grade, one of my classes got a Commodore PET, and we were able to program a few things on it. After that, I spent my paper-delivery money on a Commodore VIC-20 and spent countless hours reading Compute! Gazette magazines and typing in a variety of programs for things like games and even an early word processor.
These were early days of personal computing, so dealing with resource and hardware constraints was, well, interesting. Those systems were so constrained that efficiency wasn't optional; it shaped how you thought about software.
For example, the Commodore VIC-20 came with, wait for it, 5KB of RAM. Yup, Kilobytes. A cassette tape drive was a luxury add-on. A 5.25" floppy drive was, for many of us at the time, only something to dream about.
Fast forward a few decades, and I was at a career crossroads—doing manual labor in construction that was taking a serious physical toll. I realized I needed to lean back into my intellectual roots.
Returning to tech wasn't just a choice; it was a necessary pivot back to the systems and logic I loved.
When I came back to software professionally years later, the landscape had completely changed. BASIC, Pascal, COBOL, and Fortran were no longer predominant options, and modern languages and the concept of objects in OOP were the "new" way to do things.
So, I taught myself how to code again, watched tutorials, and learned by building things. Some worked, some didn't. I discovered areas that I was interested in, such as databases, and areas that I didn't want to focus on.
I've gone from programming on systems measured in kilobytes to discussing enterprise AI governance and distributed systems.
What was your early learning journey like?
Ken W. Alger: Very early on, my learning journey involved programming on various Commodore models, the TRS-80s, the Timex Sinclair, and occasionally mainframes I somehow got access to.
I was reading magazines or the occasional book, then trying things out and seeing what happened when I changed the program in writing.
Debugging often meant staring at printed magazine code, trying to find a typo. Or, in really frustrating cases, waiting until the next issue of the magazine arrived for their "corrected" code.
This was all well before the World Wide Web was around. Resources were fewer and farther between, and there weren't a lot of people, at least in my circle, to ask questions to. As a result, a lot of trial-and-error programming was done.
Looking back, there were some projects that I wrote that would have been done very differently today, and not relied on the language I picked to do things it wasn't designed for.
For example, on one of my first "PC-Compatible" computers, I wrote a flat-file address book database in BASIC. Between the memory limits and the lack of proper data structures, it was an absolute nightmare to maintain, but it was my first real lesson in why data architecture matters.
That was interesting.
What were some major challenges or struggles you faced while learning or growing as a developer?
Ken W. Alger: As I mentioned, early on, it was access to best practices for doing things.
When I got back into programming a decade or so ago, one of the challenges was the number of languages and frameworks to learn and the pace at which things were changing.
It taught me to learn the basic building blocks and architectures of applications. Then the language or framework becomes secondary to the problem you're trying to solve.
Also, learning that choosing the "right" language to learn is a bit of the wrong approach early on.
Instead of "what language do I learn?" I think it's better to ask "what do I want to build?" or "what domain do I want to focus on?"
Most modern languages can solve most real-world business problems. It just depends on how much effort you want to put into it.
Was there any moment where things "clicked" for you in programming?
Ken W. Alger: I still find it fascinating to create an HTML page and see it online, then make a text change in the code, and it's visible.
The same goes for backend work, including data persistence and retrieval.
I can't pinpoint a specific tutorial or sample app I built that made everything "click" for me, because that still happens when I'm exploring a new API or technology.
I still get those 'ah-ha' moments exploring new APIs, frameworks, and architectures. For me, that's part of the excitement of the developer journey.
What helped you improve the most as a developer?
Ken W. Alger: Writing code and having it reviewed by others.
There are so many things to consider in applications now: security, latency, performance, privacy, regulations, and more. Being aware of them is often the key step, and having someone review my code often helps me learn the current "best practice" for doing things.
Things change so fast that trying to be an expert across all areas is challenging.
AI tools are incredibly useful accelerators, but they often skip the hard parts, e.g., security, performance, and privacy. Therefore, the judgment layer still has to be handled by the developer.
Any memorable projects, failures, or lessons that shaped your journey?
Ken W. Alger: Well, going back to my childhood programming days and trying to write games and applications in BASIC was a lot of fun, but also opened my eyes to the complexity of designing those applications before OOP was common in personal computing.
Looking back, those early projects started teaching me, before I even realized it, the importance of choosing the right tool for the job. Had I understood the ecosystem better back then, I probably would have explored more languages earlier.
In my current developer journey, some of the fun projects I've built have been used to teach others.
I built an Android weather app for a course, which was fun to explore API ingestion and mobile layouts. A few years ago, I wanted to learn Go, so I did a live-stream series in which I built an app in Go while learning the language.
There were definitely moments where things didn't work as expected, and I had to debug them live in front of an audience. Learning in public taught me how to debug calmly, explain tradeoffs in real time, and admit when I didn't know something.
Which, it turns out, is often more valuable to an audience than watching someone who has all the answers.
How has your perspective on programming changed over time?
Ken W. Alger: Well, that's an interesting question.
In my early days of personal computer use and programming, there were two lines of thought. One was that everyone would have a computer, and programming jobs would be abundant. The other was that it was a fad, which, given the hardware limits at the time, wasn't unreasonable.
I don't know if it was early-age burnout, the crowd I surrounded myself with back then, or what, but I didn't think programming would be a good career path for as many people as it is today.
And now with AI tools, just about anyone can be a "builder" of software. It's exciting to watch and be a part of.
The tools have changed dramatically, but the core excitement of creating something useful from nothing hasn't.
Over time, I realized I enjoyed helping other developers learn as much as I enjoyed building software itself.
What advice would you give to beginners or self-taught developers?
Ken W. Alger: Go build something that's of interest to you or is directly tied to a role, company, or industry you'd like to work in.
I've seen a lot of "beginner" projects that are very similar, e.g., To-Do List, Timer, Daily Journal, etc. Those are great, and they teach specific things, but once you're past that point and want to do something more advanced, dive into a domain that's of interest.
Are you an animal lover? Build a play-date app for dogs.
Want to ultimately get a job in the real estate or construction industry? Build a map-based photo logger to track the progress of construction/real estate projects.
The apps don't need to be full-featured; keep it to an MVP that's focused on a few aspects of the app concept. But document the tradeoffs you make.
Not adding security, for a sample app, potentially not a huge deal, but call it out that in production, you'd have user accounts with authentication.
The other piece of advice I give to beginners and folks learning on their own is that the language and framework you choose aren't as important as the concepts.
Each language has its own syntax, and there are indeed languages that are more common for specific industries, so keep that in mind, but learn the architecture and structure.
Once you know one language, others tend to come easier.
What are you currently focused on or excited about?
Ken W. Alger: My current area of focus and thought is around what impact AI tools have on the enterprise.
There are a lot of things we can do on our laptops that are really great and interesting use cases for AI and LLMs, but what happens to those same systems at scale?
The accountability, governance, and privacy questions that are easy to ignore on a laptop become unavoidable in production.
The auditability and forensic traceability of AI decisions, especially when dealing with historical or sensitive data, will become increasingly important.
One of the things I've learned over time is that every major shift in technology feels overwhelming at first… until you start building with it.
Ken W. Alger: Communities in general have been a tremendous benefit in learning and just having a place to discuss things.
My family's interest in RAG, MCP Servers, or AI architectures ends rather quickly. Having a community around to share ideas, get feedback, and learn beyond what I'm interested in has been very helpful.
CoderLegion itself has been great for this, as I've explored ideas around "Sovereign Synapse" systems, AI, blockchain, DevRel as a job function, and other topics.
The discussions I've been having on these topics in the blog post conversations have been a tremendous help in shaping how I think about architectures and implementation details.
About Ken
Ken W. Alger is a developer whose programming journey spans from the early days of personal computing to modern enterprise AI, distributed systems, and AI governance.
This Developer Story was shared with CoderLegion by Ken W. Alger.
