What happens to software when all coding can be cheaply automated? We typically think of software as being constrained by the intelligence and time budget of the people who develop it. Here we lift that restriction and consider the case of unlimited software development intelligence, where humans are not involved in the coding part at all....
The Economics of Using AI to Churn Out Code Are Looking Worse Than Ever
Anthropic updated an estimate for how much developers will spend on its AI coding tool, signaling that the tech is only going to get costlier.
What AI coding costs you | Tom Wojcik
What's the effect of the prolonged AI usage among coders and is it tracked correctly, if it all?
Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
How do the productivity effects of AI evolve across successive generations of tools, and to what extent do task-level gains ultimately translate into final outp
Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
How do the productivity effects of AI evolve across successive generations of tools, and to what extent do task-level gains ultimately translate into final outp
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.
AI Code Is Producing a Quality Crisis Nobody Wants to Talk About
The productivity numbers look great. AI coding tools are everywhere.
AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds
GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not accelerated due to downstream testing and review bottlenecks and new challenges for enterprise governance and traceability.
AI boosts worker productivity — but does that translate to final outputs? | MIT Sloan
A new study found that developers using AI tools can write much more code than those working without AI, but they don’t release as much new software.
AI coding agents generate more code, but not more software
Study finds coding efficiency gains get "absorbed" by human review "bottleneck."
Why Software Engineering Is Indispensable in the Age of Coding Agents
Can AI make Software Engineering (SE) -- the discipline -- obsolete? And can it make software engineers -- the professionals -- redundant? This paper argues that the rise of capable AI coding...
AI-assisted engineers are burning out, is this fine?—Martian Chronicles, Evil Martians’ team blog
AI-assisted code generation is not free. It comes with a hidden cost: burnout. Are we dangerously ignorant to this problem? And how can we cope with it? In this post, we discuss this question.
"Code was never the hard part" is an insult to all programmers — Senko Rašić
The software development profession is in the midst of upheaval. Nobody knows how the AI revolution will play out in the end, but it is c...
Measuring the Impact of Early-2025 AI on Experienced Open-Source...
Despite widespread adoption, the impact of AI tools on software development in the wild remains understudied. We conduct a randomized controlled trial (RCT) to understand how AI tools at the...
AI #190: Scion of the Times
The amount of code being written at Anthropic continues to rise exponentially.
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.
Scaling long-running autonomous coding · Cursor
We've been experimenting with running coding agents autonomously for weeks at a time.
