The Majority AI View - Anil Dash
A blog about making culture. Since 1999.
SoftwareEngineering
DORA | State of AI-assisted Software Development 2025
DORA is a long running research program that seeks to understand the capabilities that drive software delivery and operations performance. DORA helps teams apply those capabilities, leading to better organizational performance.
Comparison - LLMs for Creating Software Architecture Diagrams
LLMs create standard perfect-world architectures detached from reality.
TL;DR: we should only trust software architects in their output, not LLMs. 🙅♂️
The reality of AI-Assisted software engineering productivity
summary of the 2025 Stackoverflow Developer Survey on AI-Assisted Development.
Research, Review, Rebuild
Using an LLM to change an existing system's UI from Angular to React
Some thoughts on LLMs and Software Development
a short post
Leading your engineers towards an AI-assisted future | Pete Hodgson
Recommendations for engineering leaders to drive AI adoption
List: Series - Generating Code with LLMs: A Developers Guide | Curated by Mayuresh K | Medium
how to build your own coding assistant
How far can we push AI autonomy in code generation?
An experiment to test the limits of autonomous code generation by LLMs
Disposable Code Is Here to Stay, but Durable Code Is What Runs the World
Durable vs disposable code
Software engineering with LLMs in 2025: reality check
Mostly used for dev support: PR, docs, autocomplete, code reviews. Not so much for code generation.
Google takes it very slow with outlooks for 10x. Amazon pushes tooling and is CMP leader. SWE recognize how much better the tools have become.
Study finds AI tools made open source software developers 19 percent slower
Current AI coding tools may be particularly ill-suited to "settings with very high quality standards, or with many implicit requirements.