Posts tagged:

engineering productivity

July 13, 2026

The Best AI Workflow We Found Wasn’t Coding.

What if the best use of AI in software engineering isn’t writing code? Discover why debugging, research, and understanding emerged as the highest-value AI workflows in our engineering study.

July 1, 2026

We Asked 250 Engineers Where AI Fails. The Answers Were Surprisingly Consistent.

AI doesn’t fail randomly. It fails predictably. Discover the patterns 250 engineers identified and learn where AI creates value, where it creates friction, and why understanding remains the biggest bottleneck in software development.

June 8, 2026

AI Generated ~14% Productivity Gains. Only ~6% Reached Delivery Outcomes. We Asked 250 Engineers Why.

How do you measure the real impact of AI in software engineering? This case study introduces Agentic Experience (AX), revealing why AI-generated productivity gains often disappear through review, validation, and rework before reaching production.

June 4, 2026

We Don’t Run DevEx Surveys. We Run a Delivery Improvement System.

Learn how Developer Experience surveys help engineering organizations uncover delivery friction, identify root causes, prioritize improvements, and turn developer feedback into measurable delivery outcomes across teams.