#Coding #AintEasy

Sadly, we have none.

Apple //e, Vic-20, and then Commodore 64.

I agree with you.

There are 7 members on my team, stand-up takes 40 to 45 minutes each day.

I'm constantly being criticized for going over 100% for my predictability instead of being rewarded for getting value into the real user's hands.

They focus on the process over outcomes.

I miss #SCO #UNIX

I often wonder how much longer this Agile fad will continue.

I don't think anyone is terrified of education. I think people are pissed off that their personal property is stripped away in the form of taxes with zero return on the investment in a child's education. Also, you knew going in that being an educator doesn't pay well.

I loved playing Ultima III on my #C64. Afterwards, I played I and II.

It would have been pretty cool to be a software engineer for NASA in those days, not fly a shuttle cool, but cool none the less.

My VPN provider isn't online. Sadness 😧

#ovpn

#SoftwareEngineering

"I see you removed the input validation because 'users should be free to explore the consequences of their own actions.' While I admire your commitment to the #FAFO philosophy in our error handling, Production is not the 'find out' phase. Please re-add the sanitization."

Velocity is the noise. Delivered value is the music — customers came for the concert, not the soundcheck.

#Agile #SoftwareDevelopment

You are living the dream.

That's really cool 😎

I miss my collection of #C64 diskettes.

You can tally up points all sprint long, but until something hits production, it’s just busywork wearing a progress badge.

#Agile #SoftwareDevelopment

Tracking completed story points without delivering value is like bragging about how many bricks you’ve stacked when the house still has no roof.

#Agile #SoftwareDevelopment

Counting story points is like measuring how fast the car’s engine revs — customers only care if the car actually moves.

#Agile #SoftwareDevelopment

Responsible computer science treats reliability, safety, and fairness as design constraints on par with performance and scalability.

The Intersection of #Philosophy and #ComputerScience
Ethics, Mind, and Society

Whether minds are computational is an open philosophical question, but computer science provides precise models that sharpen that debate.

The Intersection of #Philosophy and #ComputerScience
Ethics, Mind, and Society

Computational artifacts embody values and assumptions; architectures, interfaces, and defaults can promote or hinder human autonomy and justice.

The Intersection of #Philosophy and #ComputerScience
Ethics, Mind, and Society

Semantics of programs link formal symbols to intended behavior, but this link always relies on human purposes and contexts.

The Intersection of #Philosophy and #ComputerScience
Information, Meaning, and Representation

The same abstract structure can be encoded in many concrete ways; informativeness lies in structure-preserving mappings, not specific encodings.

The Intersection of #Philosophy and #ComputerScience
Information, Meaning, and Representation

Data become information only relative to a scheme of interpretation and a task; bits alone do not fix meaning.

The Intersection of #Philosophy and #ComputerScience
Information, Meaning, and Representation

The fundamental question of the discipline is not “What exists?” but “What can be automated, and at what cost?”.

The Intersection of #Philosophy and #ComputerScience
Limits, Power, and Automation

Complexity places a practical boundary on automation: what is computable in principle may be intractable in practice.

The Intersection of #Philosophy and #ComputerScience
Limits, Power, and Automation

There are well-defined limits to what can be computed or decided, but within those limits, computation can simulate any effectively describable process.

The Intersection of #Philosophy and #ComputerScience
Limits, Power, and Automation

Abstraction and representation are the core epistemic tools of computer science: what is not represented in a model cannot be reasoned about or guaranteed.

The Intersection of #Philosophy and #ComputerScience
Methods, Correctness, and Knowledge

Testing can show the presence of bugs but not their absence; proofs can show the absence of certain bugs but only relative to chosen models and assumptions.

The Intersection of #Philosophy and #ComputerScience
Methods, Correctness, and Knowledge