Opinion: Computer science departments need to teach coders more than just how to code.
Coding After Coders: The End of Computer Programming as We Know It
In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird.
Coding After Coders: The End of Computer Programming as We Know It
In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird.
Coding After Coders: The End of Computer Programming as We Know It - …
archived 16 Mar 2026 15:14:04 UTC
The Missing Discipline in Computer Science
On Teaching Computer Scientists to Ask “Why”
How Do Scientists Use Claude Code?
Measuring Claude Code adoption among 16,000 scientists on GitHub
Coding Is Dead, Long Live Programming — Ian Cooper - Staccato Signals
Summary In this post, we argue that the role of a coder now belongs to a coding agent, but that the distinct role of a programmer define...
Learn to code. Or don't.
Reasons to learn to code: * You have an offer for a job that involves coding, or could benefit from it * Existing tools don’t serve your needs well, or at all * You enjoy it “Learn to code” is the common refrain for what to do when you’re poor. It’
Coding Agents Are Easy, Actually - Kara's Nonsense
Software engineering is here to stay
Its Time for a New Programming Language
Today, when compared to any other point in programming history, we find ourselves spoiled for choice when it comes to programming…
On AI Coding and Its Discontents - Cal Newport
Back in January, I received a note from a senior software engineer in Silicon Valley. He described himself as an AI skeptic who became converted ... Read more
Callysto: Bringing Jupyter and Computational Thinking to the K-12 Curriculum
Cybera and the Pacific Institute for Mathematical Sciences are participating in the new national CanCode program, to develop coding and digital skills from kindergarten to grade 12. With the launch of the Callysto project, we are creating tools and frameworks that help teachers bring computational thinking into their math, science, social sciences, and humanities courses - giving students the analytical skills needed to comprehend the digital world. Leveraging the Jupyter 'All-in-One' Science Platform to put friendly yet powerful compute tools in classroom settings, we are creating showcase modules and workshop training for K-12 teachers to incorporate data and computing into the broad curriculum. At this presentation, you will learn about how Callysto will: Bring computational thinking to classrooms through K-12 teacher training Create opportunities to participate in free workshop training sessions and content creation Help K-12 teachers gain public recognition for participating in this educational training project Note: This presentation is related to our 2017 BCNET presentation on "Bringing The Thunder: Deploying Jupyter Notebooks For Research, Education, And Innovation." View Slidedeck
Why Can’t Programmers... Program?
I was incredulous when I read this observation from Reginald Braithwaite: Like me, the author is having trouble with the fact that 199 out of 200 applicants for every programming job can’t write code at all. I repeat: they can’t write any code whatsoever. The author he’s
Learnable Programming
Here's a trick question: How do we get people to understand programming?
”The distinction between programmer and user is reinforced and maintained by a tech industry that benefits from a population rendered computationally passive. If we accept and adopt the role of less agency, we then make it harder for ourselves to come into more agency.”
always-already-programming.md
gist.github.com