The rules of software engineering are being rewritten in real time, by teams shipping code today, navigating uncertainty, and discovering what it actually takes to build great software in the age of AI.
In this latest GitHub edition of XPRT. Magazine, Xebia's GitHub practitioners explore what it means to move forward decisively when no playbook exists: how to build secure, AI-ready engineering organizations, turn security alert overload into repeatable remediation rhythms, and strengthen the cultural foundations that determine whether AI helps or hinders.
What’s inside this edition
This issue focuses on committing to change before certainty arrives.You'll discover
- How AI acts as a magnifying glass — amplifying strengths and weaknesses in equal measure — and which engineering practices matter most in the AI era
- A real enterprise story: how GHAS Campaigns helped a large financial services organization improve response to new security risks by 22% and increase developer participation by 35%
- CodeQL and secret scanning at enterprise scale: turning scattered alert backlogs into focused, time-boxed remediation sprints with clear ownership
- The human side of AI adoption: psychological safety, review culture, and ownership in AI-assisted teams
- A technical deep-dive into GitHub Copilot prompt caching and VS Code's Cache Explorer for teams optimizing AI usage at scale
- Eight years of Xebia–GitHub partnership: lessons from migrations, governance, and platform engineering in regulated industries
Why This Matters
AI is no longer experimental; it's reshaping how engineering teams work.
This edition explores what that means in practice: which organizations are winning, why some are falling behind, and how security, AI adoption, and engineering culture are increasingly inseparable. Every article is grounded in real customer engagements, not just theory.
AI may change the way software is built, but it does not change what good engineering looks like. It will expose existing strengths and weaknesses, scale their impact, and make the need for strong engineering culture impossible to ignore.
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Stay ahead in the era of AI-driven software engineering and enterprise GitHub adoption.- Created by experts across software engineering, cloud, and AI
- Featuring real-world use cases and practical frameworks
- Backed by award-winning partnerships, including GitHub
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