I hate having my picture taken. Over the years, I have found the best defense from cameras is to hold one. This has weakened in a day and age where every phone has a camera, and everyone wants to be seen with someone – but Mark Lyndersay needed a picture of me for TechNewsTT, where the majority of my writing has been published this year outside of my own websites.
In going to his studio, it was a rare glimpse for me into the world of professional photography. It was clear to me almost immediately, this amateur photographer, that it would take me at least a decade to do the editing I watched Mark do quickly, about how he managed his photos, and about why he did the things he did – a matter of simple experience that cannot be replaced with meetings and requirements discovery.
You see, I had been thinking of writing my own photo management software in Python – something to automate a lot of things. I had briefly considered this when I had begun selling some of my prints in Florida, and it was latent in my mind as a project to ‘get to’. In conversation with Sarita Rampersad, another professional photographer (unrelated), I had asked her what she used last year and why. It was clear that it would take more than a passing effort on my part to build something more useful than the tools she was using. The visit to Mark’s studio underlined this.
Reflecting on this on the way home, I went back to the very core of how I started working with technology. From an early age, I was encouraged – by rote and by whip, as it were – to observe what was being done to understand how it was being done. This was the root of the family business, the now gone Rampersad’s Electrical Engineering, a company that was built on fixing industrial electro-mechanical equipment with clients ranging from the U.S. Navy to someone who just needed their water pump repaired (Even WASA).
This background served me well over the years, and understandably frustrated managers and CEOs. Knowing the context of how things were used allowed for for useful processes and code; it allowed for things to become more efficient and allowed things to be written to last instead of a constant evolution of, “Wouldn’t it be nice if?”. In a world of agile processes, the closest thing to this is the DevOps iteration of Agile which even people who practice Agile haven’t heard of (because they are soundly in the Agile Cave).
DevOps is a form of Agile where every stakeholder is directly involved. And that, to me, is also a problem because of the implicit hierarchies and office (if only office) politics is involved. It’s a bleeding mess of tissue to sew together to form a frankensystem, but at least that frankensystem is closer to what people actually need. Assuming, of course, they understand what they need.
To me, it boils down to studying what other people do.
Observe, Analyze, Communicate, Build.
When I started as an ‘apprentice’ programmer, this was drilled into me by an Uncle who was a Systems Analyst, and ‘allowed’ me to write the code for projects that he was working on. He didn’t boil it down to observe, analyze, communicate and build; I refined that myself over the course of the years.
No matter the process, it all boils down to someone able to bridge how people work/play to get something done to understand what is needed, and how to make their lives easier through automation and information structure. Observing people do their jobs is important, analyzing it secondary, but the most important part is the one thing that an AI cannot yet do: Communicate, the process of listening, speaking (or writing, or…), and then feedback. This process is most important. In priority of importance, software engineering and I believe any form of process or structural engineering is:
This is not the order in which things are done, of course, but the emphasis that is most important in understanding how present systems work and how future systems should work.
So often over the years, I’ve seen software engineers relegated to the role of code monkeys with emphasis only on ‘Build’, when the most important parts are about ‘building what is needed’. This is where business analysts got introduced somewhere along the way, but they too are put into silos. This is underlined by HR departments focusing only on the ability to ‘build’, where analysts are expected to be a different sort of role. When these roles were split, I cannot say, but to be both is something that is too large and round to fit in small square holes of the modern enterprise.
It is lost, eroded, and there is a part of me that wonders if this is a good thing. Studying what other people do has allowed me to do so many things within and without technology, and it worries me that in a future where AI will be taking over the ‘Build’ that software engineers aren’t being required to focus more on the soft skills that they will need in the coming years.
Sure, the AI can build it – but is ‘it’ what needs to be built?