AI-authored code reached 52% of all merged code by Q2 2026, up from 19% in Q3 2025, according to DX research across more than 500 companies where weekly active AI usage now exceeds 95%. DX researcher …
DX's newly published CAFE(S) framework evaluates the quality of context given to AI agents across five dimensions — Clarity, Actionability, Fidelity, Efficiency, and Security — and is positioned as co…
DX released CAFE(S), a framework for evaluating the quality of context assembled for AI systems, published in ACM Queue and co-authored by Max Kanat-Alexander (Capital One), Eirini Kalliamvakou (DX), …
DX's Engineering Enablement newsletter argues that AI agent failures stem from context problems rather than model limitations, introducing six "context smells" including "confident hallucination." The…
DX's Q2 AI Impact Report, based on multivariate regression of 500+ customers, finds that AI output accounts for 63% of variation in developer time savings but shows a weak link to innovation (p < 0.01…
Artificial intelligence is increasingly integrated into IoT solutions, with IoT devices forecast to exceed 40 billion by 2034 and the smart buildings market projected to surpass $550 billion by 2033. …
Median quarterly AI spending in the technology sector jumped from about $1,500 to $44,000 in 12 months, a 28-fold increase, yet the share of engineering work on new features stayed stuck at 58%, accor…
Meta's experiment with AI-powered engineering "pods" of three to five workers increased code changes by 220% year-on-year, but features shipped rose only 36% while major technical and security inciden…
Thoughtworks' Birgitta Böckeler argues that AI's surge in code production—Meta reported a 106% increase in significant lines of code per human-landed diff in a year, and DX data shows median pull requ…
DX's Q2 AI Impact Report reveals that the relationship between PR cycle time and PR throughput is significant only for high-throughput organizations, while low-throughput teams show no meaningful corr…
DX's Q2 2026 AI Impact Report finds AI adoption among software developers is approaching 100%, with AI-authored code now making up more than half of merged code, but gains in velocity are not translat…
DX Annual 2027 will expand to two cities, with events in San Francisco on May 6, 2027, and London on September 23, 2027, following the inaugural event that drew 500 senior engineering leaders from Mic…
Meta's internal data shows significant lines of code per human-landed diff increased by 106% and diffs per developer per month rose 51% over the past year, with over 80% of that growth from agentic AI…
Developer-experience metrics built by DX to evaluate developer tools have revealed that Daylight Saving Time shifts engineering behavior: across three years of data, active coding time in Seattle incr…
DX's Q2 AI Impact Report finds that organizations should measure AI coding tools by their effect on innovation capacity rather than by metrics like 'Developer Horsepower' that estimate human effort re…
AI coding agents are forcing engineering leaders to rethink how they measure effectiveness, according to Brian Houck, Distinguished Scientist at DX and co-author of the SPACE framework. In a research …
DX's Q2 2026 report on AI impact across 500+ engineering teams finds that over 50% of code is now AI-generated, up from 34% in Q1 2026, but median pull request sizes have nearly doubled and the Develo…
Five recent studies on AI in software engineering converge on a single finding: AI coding assistants compress upstream work, but code generation now outpaces the systems needed to safely understand, v…
UKG VP of Engineering Thomas Newton described how his team built a Manager AI Adoption Dashboard that combines AI usage patterns, delivery outcomes measured by DX's TrueThroughput metric, and spend da…
DX's CTO Justin Reock says AI transformation is a systems problem, not a tooling one, based on a study of 500 companies showing a 7.5% median PR velocity uplift. He argues that AI amplifies existing s…