Insights for Engineering Excellence

The same AI helps a mature team and sinks a junior one in rework. Team maturity, not the model, decides, and it's why your average AI productivity number hides the truth.

Meta description: AI-generated code is correct but foreign, so reviewers spend their time translating it back into the team's dialect. Here's why review slows down — and the fix.

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.

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.

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

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.

Last week at the Infoshare conference, Jon Kern — co-author of the Agile Manifesto — and I opened the Tech Trends stage with a talk about how AI is changing software delivery, engineering organizations, and ultimately the meaning of agility itself.

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.

Traditionally, tech companies have measured developer productivity by tracking the flow of work through the delivery process—from writing code to getting it reviewed, merged, and released into production. However, a new approach is gaining traction: measuring Developer Experience (DevEx).

The Adaptavist Group is a digital transformation company with 1,000+ employees worldwide. It's a leading global partner of Atlassian, supporting more than half of the Fortune 500 companies.

We’re thrilled toannounce that our analytical application has been recognized as an impactful Customer Experience software for businesses and for which we have been awarded the Best Ease of Use Badge from verified reviewers on Capterra.

To ensure that their people leadership capability building strategy is future-proof, organizations will need to focus on two areas – embracing a selective-intensive people leadership approach and knowing how to access and analyze team data to make more agile-based decisions.