Posts tagged:

AI-assisted software development

August 19, 2026

Engineers Don’t Trust AI Equally.

Engineers don’t trust AI equally. Learn why trust varies across software development workflows, what drives confidence in AI-generated code, and how trust directly affects software delivery performance.

August 17, 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.

August 6, 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.

August 5, 2026

The Highest-Performing AI Teams Aren’t Using Better Models. They’re Using Better Delivery Practices

AI success isn’t determined by model quality alone. Learn how high-performing engineering teams use AI for debugging, implementation, and delivery while avoiding review overload, rework, and trust issues

August 4, 2026

From AI Adoption to Agentic Experience

What Hundreds of Engineers Reveal About the Journey Toward AI-Native Delivery

August 3, 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.

July 27, 2026

AI Assistance: DevEx Survey Questions to Help Teams Improve AI-Native Delivery

Use DevEx AI-Assistance survey insights to identify where AI improves engineering work, where it creates rework and delivery bottlenecks, and how AI impacts software delivery across teams.