







We’re finally writing code in plain english, understandable to maybe half the population (at some level).. but apparently that code doesn’t belong in the version-controlled record of work, nor in the group chat? thankfully @maggieappleton.com has solutions
Maggie Appleton
It's multiplayer chats, plus agents, and everyone working in sandboxed vms so you're all sharing the same code and context. Prompt and code together, in real time. You're all connected to the same computer. You can all see the same outputs. No one is stashing work and switching git branches.
Apr 25, 2026 at 5:45 PM
What Is Code? If You Don't Know, You Need to Read This
The world belongs to people who code. Those who don’t understand will be left behind.

What Is Code? If You Don't Know, You Need to Read This
The world belongs to people who code. Those who don’t understand will be left behind.

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
Gergely Orosz on Twitter / X
This is either brilliant or scary:Anthropic accidentally leaked the TS source code of Claude Code (which is closed source). Repos sharing the source are taken down with DMCA.BUT this repo rewrote the code using Python, and so it violates no copyright & cannot be taken down! pic.twitter.com/uSrCDgGCAZ— Gergely Orosz (@GergelyOrosz) March 31, 2026

Code Is Cheap Now, And That Changes Everything | Pere Villega
AI coding agents have made code production nearly free. Drawing on insights from Kent Beck, Paul Ford, and Simon Willison, this post argues that the value has shifted from writing code to defining systems — contracts, invariants, SLAs, and verification.

We asked 15,000 people who they are, and how they’re learning to code
More than 15,000 people responded to the 2016 New Coder Survey, granting researchers an unprecedented glimpse into how adults are learning to code. We’ve released the entire dataset of participants’ individual responses to all 48 questions — under th...

We should rethink how we teach people to code | deadSimpleTech
It's fair to say that the tech industry at the moment is not in a good place. Software engineers tend to be detached, demotivated and unwilling to care much about the work they're doing beyond their paycheck. Code quality is poor on the whole, made worse by the current spate of vibe coding and whatever other febrile ideas come out of Sam Altman's brain. Much of the software that we write is either useless or actively hurts people. And the talented, creative people that we most need in the industry are pushed to the margins of it.

Software developers are not okay
Writing at the end of the world, from Hveragerði, Iceland
Copyrightability of LLM-generated code: Can we license “vibe code” into Free Software? - FSFE
The use of large language models (“LLMs”) has exploded in recent years, including in the generation of source code. But even as their usage gains popularit...

Hey, Computer Scientists! Stop Hating on the Humanities
Opinion: Computer science departments need to teach coders more than just how to code.

Stop saying learning to code is easy.
(The photo above was taken at the Microsoft NYC office of three amazing young ...

Chris Granger - Coding is not the new literacy
Despite the good intentions behind the movement to get people to code, both the basic premise and approach are flawed. The movement sits on the idea that “coding is the new literacy,” but that takes a narrow view of what literacy really is.

The End of Code Review: Coding Agents Supersede Human Inspection
Code review has been the primary quality gate in software development since Fagan formalised code inspection in 1976. For five decades, having a human examine and comment on a colleague's changes before merge has been a cornerstone practice at organisations of every size. Coding agents are large language model (LLM)-based autonomous systems capable of reading, writing, testing, and repairing software. We argue that coding agents have crossed a threshold of capability at which traditional human code review is no longer a necessary component of a software quality pipeline. Our argument rests on two claims: every stated goal of code review can be served by agents at lower cost and higher throughput; the naive integration in which agents write code and humans remain the mandatory reviewers is a dead end because it neither provides meaningful assurance nor scales with AI-assisted throughput.

Is all code becoming the same? On one hand, 95% of Kaggle submissions that set a random seed now use 42 (a Hitchhiker's Guide joke LLMs love). But, it turns out that while coding syntax is converging, approaches to problems are not converging. Human prompters drive real variety in solutions.