Abstract. As code is now an inextricable part of science it should be supported by competent Software Engineering, analogously to statistical claims being
Code Worth Writing - Ray Myers | SSW 2026
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.
How Do Scientists Use Claude Code?
Measuring Claude Code adoption among 16,000 scientists on GitHub
The Bulk of Software Engineering is Just Plumbing
I read a post online recently about how some software engineer was asked to complete a technically complex, jargon-filled coding challenge over the...
ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments
Scientific code repositories encode decades of human knowledge in executable models, methods, and tools. Yet fragmented toolchains, implicit domain conventions, and specialized correctness criteria make this knowledge difficult to convert into reliable learning experience-a challenge we call the scientific experience bottleneck. We introduce ScienceIDE, infrastructure for turning the world's scientific code into programmable environments for scientific agents. Guided by expert-defined scientific cases and acceptance criteria, agents transform repositories into executable environments that support task generation, execution, and scientific verification. These environments provide a shared foundation for supervised fine-tuning, reinforcement learning, and evaluation. Using verified interaction trajectories, we train PhAI-IDE-72B, PhAI-IDE-9B, and PhAI-IDE-4B. The model family shows gains in held-out scientific-code repair and across selected general-purpose benchmarks in code, reasoning, and knowledge, providing evidence of positive transfer from scientific experience to broader capabilities. ScienceIDE lays the foundation for an integrated workspace for agent learning and scientific practice, making humanity's scientific software a shared substrate for developing scientific intelligence. Code: https://github.com/aitofound/ScienceIDE
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...
No. 008: AI co-mathematician, compiler-verified protocols, open infrastructure bets - The Hallway Track
The Hallway Track No. 008 - How AI is affecting the practice of science
</> htmx ~ Codin' Dirty
In this article, Carson Gross discusses an alternative approach to software development that challenges the principles outlined in 'Clean Code.' Carson advocates for allowing larger functions in certain cases, preferring integration tests over unit tests, and minimizing the number of classes and interfaces. He shares examples from successful software projects that demonstrate these practices can lead to maintainable, high-quality code.
Sung Kim (@sungkim.bsky.social)
I like this quote on code review: "The idea that humans will reliably look through code to find the increasingly rare issues that automated tools miss seems like a fantasy." By Marc Brooker, AWS.
Konrad Hinsen's blog
How can we document software and computational analyses in such a way that others can convince themselves of their validity, and build on them for their own work? The question has been around for many years, and a number of attempts have been made to provide partial answers. This post provides a brief review and describes my own tentative answer, inviting you to play with it.
If coding is solved, what now?: Measuring the sloppiness of code | EARENDIL
Exploring how to measure code sloppiness, why correct code can still erode a codebase, and why human intuition and taste still matter.
AI Code Review | Greptile | Merge 4X Faster, Catch 3X More Bugs
AI Code Reviews that understand your entire codebase. Automate PR reviews, catch bugs faster, improve code quality with AI-driven analysis. Try Greptile free!
How to SNIFF out Good Scientific Software
New PLOS Computational Biology paper: "Ten Quick Tips to SNIFF Out Sustainable and Secure Scientific Software"
Diving into Claude Code's Source Code Leak
Engineer’s Codex is a publication about real-world software engineering.
Teaching AI How Science Actually Works | IFP
How block-grant labs can generate the real-world data AI needs to do science
