Coforge has announced its Autonomous Software Factory (ASF), a new operating model for managing AI agents across the software development lifecycle (SDLC).
As enterprises move beyond developer copilots and AI experimentation, generating code is no longer the primary challenge. The challenge is governing and coordinating AI agents at enterprise scale. ASF provides a structured operating model for agent orchestration, execution, governance, and human oversight.
"Enterprise software development is entering a post-coding era, where generating software is quickly becoming the easy part," said Vic Gupta, Executive Vice President, Coforge. "The real source of competitive advantage will be how effectively organizations coordinate, govern, and scale AI agents across the software lifecycle. Autonomous Software Factories provide the blueprint for making AI-native software delivery operational at enterprise scale."
ASF reflects Coforge's broader vision for operationalizing enterprise autonomy, where intelligent systems increasingly execute operational work while humans focus on architecture, governance, strategic decision-making, and business outcomes.
Within secure execution environments, ASF enables specialized AI agents to continuously execute coding, testing, validation, code review, and quality assurance in parallel, enabling a scalable and repeatable model for AI-native software engineering.
As AI-generated artifacts become foundational, enterprises must redesign engineering processes, governance models, and quality controls. ASF establishes the operational backbone for AI-native engineering enabling delivery acceleration while maintaining trusted, enterprise-grade controls, compliance, and outcomes.
