Coding After Coders: The End of Computer Programming as We Know It

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

Coding Agents Are Easy, Actually - Kara's Nonsense

Software engineering is here to stay

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...

Why AI hasn’t replaced software engineers, and won’t

Coding agents as normal technology

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

Hey, Computer Scientists! Stop Hating on the Humanities

Opinion: Computer science departments need to teach coders more than just how to code.

AI Coding Agents: Adoption Trends - The JetBrains Blog

How many developers use AI coding agents (Claude Code, Codex, Cursor, JetBrains Junie, and others)? Evidence from the Developer Ecosystem Survey 2026.

Impressions from visiting OpenAI, Anthropic, & Cursor

A peek into where software engineering is headed from inside the sector’s leading AI labs. Agents running in the cloud are a major trend, while coding harnesses are spreading beyond the craft

Claude Code, Codex and Agentic Coding #8

When I started this series, everyone was going crazy for coding agents.

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.

The Gap Through Which We Praise the Machine

My current theory of agentic programming: people are amazing at adapting the tools they're given and totally underestimate the extent to which they do it, and the amount of skill we build doing that is an incidental consequence of how badly the tools are designed.

Who cleans up after the vibe-coding party?

Our obsession with AI code-writing tools is overwhelming the web’s unsung human caretakers

Adoption and Impact of Command-Line AI Coding Agents: A Study of Microsoft's Early 2026 Rollout of Claude Code and GitHub Copilot CLI

Organizations rolling out agentic command line tools like Anthropic's Claude Code and GitHub's Copilot CLI need to know who will try them, who will keep using them, and whether the tools produce enough output to justify their cost. At organizational scale, token spend can run into millions of dollars annually, so misreading adoption, retention, or impact can make a rollout expensive without changing engineering velocity. Studying tens of thousands of engineers at Microsoft over its early-2026 rollout, we find that first use spread primarily through social networks, retention was associated more with engineers' coding activity than with demographics, and adopters merged roughly 24% more pull requests than they would have otherwise. We use merged pull requests as our proxy for output -- acknowledging that a merged PR is not the same as the value it delivers -- and the lift persists across our four-month window. These results suggest that CLI coding agents are neither uniformly adopted nor mere novelty effects and that organizations should treat visible peer use as central to rollout strategy.