Cognizant and Infosys Form Strategic Alliance to Deploy Agentic AI Across Legacy Codebases

IT services giants Cognizant and Infosys partner to integrate agentic AI software developer tools to automate legacy enterprise code migration projects.

Indian IT services giants Cognizant and Infosys have announced an unprecedented strategic alliance to build and deploy Agentic AI developer systems for global enterprise customers. The partnership targets the massive backlog of legacy software migration and codebase refactoring projects that currently cost corporations billions of dollars in manual developer hours.

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Transitioning from Coding Assistants to Autonomous Agents

While simple AI completion tools can write isolated code functions, agentic AI systems go a step further. They can analyze entire software architectures, plan multi-file refactoring steps, write test suites, debug compilation failures, and submit clean pull requests autonomously.

"We are moving from code completion to codebase comprehension," stated Vikram Mehta, Senior Tech Analyst. "Infosys and Cognizant are training proprietary multi-agent workflows that can autonomously refactor old COBOL and Java systems into modern, microservices-based cloud architectures, drastically accelerating project timelines."

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Collaboration details and Workflow Models

The engineering framework combines the deep domain expertise of both organizations: * Shared AI Infrastructure: Building common benchmark environments to test AI agents on enterprise security, compliance, and performance criteria. * Orchestration Frameworks: Utilizing advanced agent orchestrators that direct separate specialized agents (e.g., Code Writer, Security Auditor, Test Generator) to collaborate on repository updates. * Human-in-the-Loop Safeguards: Every PR generated by the AI agent goes through a senior engineer audit layer before deployment, ensuring absolute reliability.

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What this means for the Engineering Workforce

As agentic AI takes over routine coding and debugging tasks, the role of the software developer is evolving. Engineers are transitioning into system architects, prompt orchestrators, and code reviewers, focusing on design-level decisions rather than writing repetitive syntax.

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