GenAI in Software Engineering – 2025 Intelligence Report

Key research insights

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88% adoption of GenAI tools across engineering teams

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60% rolled out GenAI within the past 6 months

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85% lack structured impact measurement

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60% cite quality issues as the top concern

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50% expect team structure and skills to shift within 24 months

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Only 1 in 4 companies report org-wide GenAI usage – most adoption remains siloed

The ‘49 Gold Rush in ’25 – Discover the real value of GenAI adoption

Explore the fastest technology adoption in software development history – and why most teams aren’t seeing the ROI they expected.

Generative AI (GenAI) tools like GitHub Copilot have stormed the world of software engineering. 88% of teams now use them, with 60% adopting in just the past 6 months – the fastest adoption curve in tech history.

But what are the real results?

Just like the Gold Rush of 1849, GenAI in software engineering is a land of huge opportunity – but also hype, false starts, and missteps. Plandek’s latest AI adoption in software development report unpacks the reality behind the numbers, helping you benchmark adoption and track the true business impact of GenAI. This report uncovers the reality behind GenAI adoption: widespread enthusiasm, minimal impact, and an urgent need for better measurement. Think of it as the ’49 Gold Rush for engineering intelligence – a moment of massive potential, but only for those who know where to dig.

What You’ll Learn

The expectation vs. reality gap. Why most organizations are struggling to see the promised gains in velocity, productivity, and product-fit.

The quality paradox. GenAI was supposed to improve code quality. Instead, it’s become a leading cause for concern.

Blind spots in engineering analytics. With 85% lacking meaningful metrics, leaders are making decisions without visibility.

The SEI advantage. Learn how Software Engineering Intelligence (SEI) platforms like Plandek provide the single pane of glass needed to measure and improve GenAI’s impact.