Reimagining Autonomous Software Development with Factory’s AI Agents

The Opportunity

The Wipro Innovation Network team was exploring autonomous software development lifecycles, with the ambition of moving from humans “in the loop” to humans “on the loop”. Across the software engineering lifecycle, the team considered how activities ranging from requirements gathering and specification development to coding, testing, and deployment could be carried out autonomously, while retaining human oversight.

Achieving this at scale would require a fundamental shift in how engineers work. The team looked beyond code generation to explore how autonomous agents could contribute across multiple stages of the lifecycle, including planning, implementation, and testing, within enterprise engineering environments.

The Strategy

At Wipro, we were already familiar with Factory through Wipro Ventures' investment in the company. Factory’s architecture and agent-native approach aligned with the Wipro Innovation Network team’s ambition to advance autonomous software development. As the team considered how autonomous agents could contribute across a broader range of software engineering activities, Factory offered capabilities spanning planning, implementation and testing.

Droids, Factory’s software engineering agents, operate within parameters defined by engineers and support planning, implementation and testing. Factory is integrated into WEGA, Wipro’s AI-powered delivery platform within the Wipro Intelligence™ suite. This application of AI-powered software development enables engineers to use Factory across the software engineering lifecycle to modernize existing platforms, build new applications and rapidly prototype new concepts.

Sandhya Arun, Chief Technology Officer, Wipro, described the effect on the team:

"Our engineers love using [Factory] because it puts control right back in their hands. They don't feel like they are being displaced by AI, but they feel that they are being empowered with AI."

The Wipro Innovation Network also used Factory to build an engagement platform for its community of “exponential engineers” who augment their expertise with AI agents and reusable skills, enabling them to share agents, prompts and AI skills that colleagues can reuse across projects.

The Proof & The Impact

Interviews with engineers using Factory highlighted measurable cycle-time reductions. One engineer reported completing a technology platform refresh in approximately two to three months. According to the engineer, the effort was originally estimated to require nine to twelve months of work for a couple of developers. On another project, an engineer used Factory to fix a resumability problem in approximately 15 minutes. The same task would otherwise have required two to three days to complete. These examples illustrate a shift from manual implementation towards engineer-led orchestration across the software engineering lifecycle.

Sandhya Arun, Chief Technology Officer, Wipro, described the broader outcomes from the use of Factory:

"We are seeing meaningful results across our teams, including better engineering experience, faster engineering cycles, improved productivity, and client outcomes."

Factory also supports rapid prototyping with autonomous agents, enabling engineers to explore alternative approaches, translate concepts into working prototypes, and validate ideas before taking them forward. This provides another practical application of AI-powered software development, helping teams test concepts quickly while engineers retain control over direction and execution.