There's a couple of issues here -- including privacy, data recovery, deterrence, compensation -- each leading to different ways to answer the question: what can you actually do to prepare for the possibility? So use the comments to share your own experiences. How have you prepared for the theft of your PC?
People who complain that you can't build large scale systems without a compiler likely over-rely on the latter and are slaves to IDEs. If you write good unit tests and enforce Test Driven Development, the compiler becomes un-necessary and gets in the way. You are forced to provide too much information to it (also known as boilerplate) and can't quickly refactor code, which is necessary for quick iterations.
The original submission ends with a question: "Is Python going to dominate in the future?" Slashdot readers should have some interesting opinions on this. So leave your own thoughts in the comments. Will Python become the dominant programming language?
Then I presume the requirements for something like an "AI Maintainer" and/or "AI Trainer" which would probably resemble something like an admin of a big data storage, looking at statistics and making educated decisions on which "AI Training Paths" the AI should continue to explore to gain the skill required and deciding when the "AI" is ready to be let go on to the task... And what about Tensor Flow? Should I toy around with it or are we past that stage already and will others do AI setup and installation better than me before I know how this thing really works...?
Is there a degree program, or other paths to skill and knowledge, for a programmer who's convinced that "AI is today what the web was in 1993"? And if AI of the future ends up tied to specific providers -- AI as a service -- then are there specific vendors he should be focusing on (besides Google?) Leave your best suggestions in the comments. How can programmers move into AI jobs?
And what about Tensor Flow? Should I toy around with it or are we past that stage already and will others do AI setup and installation better than me before I know how this thing really works? Because I also suspect most of the AI work for humans will closely be tied to services and providers such as Google. You know, renting "AI" as you rent webspace or subscribe to bandwidth today. Any services and industry vendors I should look into -- besides the obvious Google that is? In a nutshell, what work is there in the field of AI that can be done and how do I move into that? Like now. And what should I maybe get a degree in if I want to be on top of this AI thing? And how would you go about gaining skill and knowledge on AI today, and I mean literally, today. I know, tons of questions but insightful advice is requested from an educated slashdot crowd. And I bet I'm not the only one interested in this topic. Thanks.
The original submission ends with one idea -- "I'm thinking about pushing for a separate bug tracking system that we pull bugs from during refinement and create Kanban cards for." But is there a better way? Leave your own experiences in the comments. How does your team track and manage bugs in your software?
There are software tools that can turn, say, C code into a visual flow chart representation of said C code. Is there any way to do the opposite -- draw a flowchart, and have that flowchart turn into working C code?
Leave your best answers in the comments.