Frank Wayne Burcaw
@aspiecoder
Software Engineering in the Spectrum... coding through an autistic lens
When you're in a ridiculously long meeting and your colleagues think you're in agreement.... But you're just listening to Led Zeppelin's Kashmir... #WFH
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
To say that software is “correct” is to claim a justified relationship between a specification, an implementation, and an assumed environment. The Intersection of #Philosophy and #ComputerScience Methods, Correctness, and Knowledge
A computing system is a layered artifact whose behavior depends on interactions between abstract specifications, concrete implementations, and human users. The Intersection of #Philosophy and #ComputerScience Ontology of Computation and Programs
Programs are abstract artifacts that can be instantiated in many physical machines but are not identical to any particular implementation. The Intersection of #Philosophy and #ComputerScience Ontology of Computation and Programs
Computation is the systematic transformation of representations according to finite, effectively executable rules. The Intersection of #Philosophy and #ComputerScience Ontology of Computation and Programs
Agile's reputation in software engineering largely hinges on execution. When mismanaged or reduced to ritual, Agile is often seen as harmful or superficial, eroding confidence in the discipline and undermining developer autonomy and work quality. Prove me wrong.
Just had a breakthrough moment — apparently, the secret to software engineering isn't hours of debugging, endless coffee, or Google's infinite wisdom. Nope. It's *taking a break*. Who knew staring at code like it's a Netflix series won’t solve everything?
Don't dismiss the quality of software that comes out of The Silicone Prairie. Back me up on this, @VolanoSoftware
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