What happened?
Augment Code and Xoriant have announced a strategic partnership designed to revolutionize enterprise software development through context-aware AI. This collaboration merges Augment Code’s intelligent code-modernization engine with Xoriant’s enterprise engineering expertise to deliver unprecedented gains in modernization speed, automation, and code migration accuracy.
Who’s involved
Augment Code – A fast-rising AI coding platform backed by top venture investors. It specializes in transforming complex, legacy codebases using AI-native tools for modernization, remediation, and performance optimization.
Xoriant – A global digital engineering leader with deep experience in modernization, experience design, and scalable enterprise delivery. Trusted by Fortune 500 firms, Xoriant accelerates digital transformation through proven frameworks and domain expertise.
What this means for teams
For developers, engineering leaders, and enterprise IT executives, this partnership delivers measurable impact:
90%+ faster UI and application modernization—even across legacy environments
Up to 75% acceleration in developing microservices in Go, Java, and C++
Test automation and root-cause analysis with up to 95% efficiency
By integrating “AI Pods” powered by Augment Code, Xoriant’s enterprise clients can streamline complex modernization pipelines, reduce technical debt, and unlock new revenue streams faster than traditional methods.
Why it matters
This is enterprise-grade, context-aware generative AI for software engineering—delivered collaboratively.
Augment Code scales AI-assisted coding across organizations, empowering architects and developers to explore, refactor, and remediate code with context-aware intelligence.
Xoriant brings operational excellence, ensuring AI-driven engineering translates into measurable ROI through consulting, frameworks, and project delivery.
Together, they signal a new era of AI-driven software creation—where generative AI shifts from experimentation to infrastructure, acting as a growth catalyst instead of a bottleneck. Analysts project these kinds of initiatives could generate multi-trillion-dollar efficiencies in global software development.
Read the official announcement:
