Revisiting the DX Core 4 in the age of AI
DX's Core 4 framework for measuring engineering productivity—speed, effectiveness, quality, and business impact—remains stable in the age of AI, according to a new analysis. The article argues that AI…
DX's Core 4 framework for measuring engineering productivity—speed, effectiveness, quality, and business impact—remains stable in the age of AI, according to a new analysis. The article argues that AI…
A developer who previously dismissed AI as unreliable rebuilt an entire website in two weeks using an AI content engine powered by an MCP server and Claude plugin, spending about $4,000 in tokens. How…
Engineering organizations report AI usage up ~65% but PR throughput only 7.76%, revealing a gap between code generation and shippable output. Studies from DX and METR show developers overestimate AI p…
AI-authored code has nearly doubled to 51.9% across over 400 organizations in Q2 2026, but median pull request size has also nearly doubled from 44 to 72 lines, raising concerns about code quality and…
Unionized tech workers at The New York Times filed grievances and an unfair labor practice charge alleging the company violated their collective bargaining agreement by deploying internal AI tools tha…
Unionized tech employees at The New York Times have accused management of violating their contract by using artificial intelligence tools to monitor worker performance and activity. The Tech Guild, re…