As code generation gets easier, code review is the new bottleneck. That's why we're launching a new way to quickly review and understand complex PRs in our latest tool for codebase understanding - augmenting human attention with AI.
How AI slop is causing a crisis in computer science
Preprint repositories and conference organizers are having to counter a tide of ‘AI slop’ submissions.
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AI coding agents generate more code, but not more software
Study finds coding efficiency gains get "absorbed" by human review "bottleneck."
Using AI to write better code more slowly
A lot of people seem convinced that the point of AI coding is to write low-quality code as fast as possible. Spew out barely-passable slop, open massive PRs, and merge them unvetted. Ship it! But t…
In the Battle for Attention
Slop is gaining ground. Low-quality content, including AI-generated trash, is advancing on all fronts for attention.
AI vs human code gen report: AI code creates 1.7x more issues
We analyzed 470 open-source GitHub pull requests, using CodeRabbit’s structured issue taxonomy and found that AI generated code creates 1.7x more issues.
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AI code and software craft - alex wennerberg
Much has been said about audio, video and text "slop": low-quality, AI-generated content that has proliferated on the internet since the release of publicly-accessible AI models. Garbage content has always existed online, but the novelty of AI is that it has made its generation orders of magnitude less labor-intensive. For anyone who lacks a discerning eye, or is doing some task where discernment simply does not matter, AI has become a sufficient replacement for human hands.
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.
The 70% problem: Hard truths about AI-assisted coding
A field guide and why we need to rethink our expectations
I pulled ~90,000 Reddit posts about what makes writing "sound like AI" to determine the biggest AI-slop giveaways (Part 2)
674 votes, 228 comments. The majority of people can instantly tell when writing is generated by AI. For those who don't intend to get into the weeds…
upskill with ai
ideas on how to learn and grow using ai but not necessarily 100% ai generated slop learning
Three Questions on Questions: On Asking, Knowing and Noticing
LLMs reward expertise
Programming (with AI agents) as theory building
explain-diff
AI Coding will Prevent Expertise | Lars Faye
Cognitive Surrender