jamesmiller5
For some harder C code (implementing `malloc` for example) my preferred debugging method was printing out the code and debugging it with a pen between classes.
I eventually realized being inside an editor gave me too much attraction to thrash with "just one more quick iteration & debug run..." and could actually end up more time consuming than being forced to reconcile my mental model with what I had already written by me double checking my assumptions.
Interestingly, some of my peers started picking up the habit for their own projects and we ended up having small "debugging" sessions by trading print-outs .
While I agree in spirit: after a recent rib injury I wasn't allowed to take a picture of my own X-Ray using my phone or even have a copy sent to me since "that isn't the policy"... very hard to say that data was "mine" until it is "released" to me.
There is an infinitesimally small liability that some "other patient's" data might be visible on scanning device, a horde of companies assuring asses are covered and without a legal obligation to give me all "my" health data per visit I don't see an easy path to using our own devices soon, unfortunately.
By the legal definition of slander, your statement is false.
> Your arguments will come of as stronger to the reader.
That is persuasian, not authenticity, to the OP's point.
Typed without a spellchecker :).
Trust. Easily lost, hard to win and all that. If you don't actually trust those you manage you're not really operating at your best, let alone bringing out the best of your team.
It's a humbling experience tbh, requires putting your faith of success in other people, which in my experience is harder to teach (and is often learned through tough failures) than any kind of computer skills.
Big Ball of Mud (1999)
Airbnb Project Lighthouse Methodology [pdf]
(Edit: word choice)
We don't live in a 'non-DLT world though, DLT exists in this world right?
Sorry I agreed with your previous comment and then the mention of DLT lost me so I'm trying to understand the context I'm missing.
(Edit: spelling)
There are no personal attacks, just critiques on the thought process, output and plan (or lack of planning), all of that is fair game. The dev(?) even admits at ~25:40 that they should be taking notes and fixing what is pointed out.
Everyone eventually dies alone, but do not let that sadden you. A full life is measured in the depths of sorrow from that truth, not in avoiding it.
Mutual Knowledge
I can understand the hesitation. It's warranted, but there is progress such as this very threads response.
I postulate more than few roles were halted at that time.
Can we always assume that's true? What if I'm a middle aged person who is interested in trying out a startup?
It seems like such a waste of potential talent by not bieng upfront with canidates on your hirring practices.
I want to leave Facebook but I can't give up such an amazing chat experience that keeps me connected to my family and close friends. Even if I got my immediate family to use a different app, I'd have to keep Facebook for old friends :( .
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It doesn't matter if it does or doesn't, we don't have perfect knowledge of the universe or quantum events, therefore the universe is still unpredictable regardless if it is deterministic or not.
> Why are 'trends' are not cut and dry, and algorithms are?
> Is there something special about a cell that is not blueprintable and manufacturable?
It comes down to strategy.
The dominant historical strategy for computer functioning is exact, precise and reproducible instruction following of a tuned, high performance state machine. It is almost opposite of our untuned but general biological nature. For almost any species, survival is based on adaptation where our computer machinery has no inner process guiding it's adaptation, only we as technologists attempting to adapt the computer's strategy to the world. You could argue that business use of technology is the survival characteristic.
Biology on the other hand produces "suboptimal" systems that are very practical or relatively general, with many mechanism to absorb and compensate for errors or mistakes. We are just now teaching computers to adapt and compensate for specific situations with the hopes of generalizing the technique and it's a hard problem to solve. Not impossible, but we need to develop different methodologies for handling natural complexity.
I agree there probably isn't something fundamentally different as both systems coexist in the physical world, there is just lifetimes of practical learning and effort that must be done to merge the two strategies into a cohesive way forward.
(edit, spelling & gramar)