Coforge has unveiled what it calls an Autonomous Software Factory (ASF), a new operating model for running and governing AI agents across the entire software development lifecycle. The IT services company argues that the next phase of enterprise software engineering will be defined less by how much code AI can write and more by how well organisations coordinate the agents doing the work.

The announcement, made on 29 October 2026 from Princeton, New Jersey and Greater Noida, was also filed with the BSE and NSE. It positions ASF as a structured framework for agent orchestration, execution, governance and human oversight, built for enterprises that have moved past developer copilots and early AI pilots.

From code generation to agent orchestration

Coforge’s core argument is that generating code is no longer the hard part. As AI coding tools become commonplace, the bottleneck has shifted to keeping fleets of AI agents coordinated, accountable and compliant when they work at enterprise scale.

“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.”

How the Autonomous Software Factory works

Under the ASF model, specialised AI agents run inside secure execution environments and work in parallel on coding, testing, validation, code review and quality assurance. The aim, according to Coforge, is a repeatable and scalable approach to AI-native software engineering, where agents handle continuous execution while people stay in charge of the critical calls.

The company says the shift also forces a rethink of how engineering organisations operate. As AI-generated artefacts become foundational to delivery, enterprises will need to redesign their engineering processes, governance models and quality controls. ASF is pitched as the operational backbone for that change, speeding up delivery while keeping enterprise-grade controls and compliance in place.

Humans move up the stack

Coforge frames ASF as part of a broader vision of “operationalising enterprise autonomy”, in which intelligent systems increasingly carry out operational work and humans concentrate on architecture, governance, strategic decisions and business outcomes. The company describes its own delivery model as a mix of AI agents and an AI-enabled workforce, including specialised forward-deployed engineers working in hybrid, pod-based delivery units.

Why it matters

The launch reflects a wider shift among Indian IT services firms, which are racing to show clients that agentic AI can move from experiments into governed, production-grade delivery. For CIOs and CTOs, the message is that the questions worth asking about AI in software engineering are changing: not “how much code can AI write?” but “who oversees the agents, how is their output checked, and what controls keep them compliant?”

How quickly enterprises adopt agent-run software factories will depend on whether providers like Coforge can prove that speed gains come without sacrificing quality, security and accountability, the very guardrails ASF claims to build in.

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