A bunch of reasons to write code in 2026
How to Kill the Code Review
Human-written code died in 2025. Code reviews will die in 2026.
The Next Two Years of Software Engineering
Exploring five critical questions shaping software engineering through 2026, with contrasting scenarios for each. These lenses help prepare for the evolving ...
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.
Coding After Coders: The End of Computer Programming as We Know It - …
archived 16 Mar 2026 15:14:04 UTC
Hey, Computer Scientists! Stop Hating on the Humanities
Opinion: Computer science departments need to teach coders more than just how to code.
WDR 2026: The Promise of Artificial Intelligence
The World Development Report 2026 explores how artificial intelligence is reshaping development as a general‑purpose technology.
Wrap to 2025, Proem to 2026
Technological Paradigm Shifts are fundamental changes in technology that reshape industries and society.
The AI Engineering Report 2026: The AI Acceleration Whiplash - Ten Takeaways
What two years of telemetry data from 22,000 developers reveals about AI's real impact on developer productivity, code quality, and business risk in 2026.
95 reasons for having your own website
A running list of reasons to have your own website in 2026.
Prompts are technical debt too
It’s common and correct to say that “all code is technical debt”. Adding code is a necessary evil for developing new features: you almost always have to do it, but each line of code adds to the complexity and maintenance burden of the system. All future changes to the system have to work with the existing code, or at least avoid breaking it. Once systems accumulate enough code, they become impossible for a single person to understand: instead of reading the code and understanding what it does, you must rely on guesses, theories and heuristics1. Sensible engineers write as little code as possible.
The two worlds of programming: why developers who make the same observations about LLMs come to opposite conclusions
Writing at the end of the world, from Hveragerði, Iceland