The next developer is
already on your team.
They just don't
know it yet.

Ask most executives where the most valuable knowledge in their organization lives, and they will point to the engineering team, the data platform, or the architecture roadmap.

They are looking in the wrong place.

The real knowledge lives with the people who run the processes. The claims handler who knows exactly which three fields cause half the rework. The service lead who can describe, in precise detail, the tool that would halve response times. These people know exactly what is broken and exactly what a fix would look like. What they have never had is the means to build it. Every idea has had to be translated through someone else, and most ideas never survive the journey.

AI is ending that dependency.

From vibe coding to the full lifecycle 

At Nagarro, we have approached this deliberately, over three years. In year one, we encouraged our technical teams to embrace vibe coding and AI-assisted development: describing intent in natural language and letting the tools generate, refactor, and explain code. In year two, we pushed AI across the entire software development lifecycle, from requirements engineering, analysis and design to testing, deployment, and project management.

The lesson is clear. Vibe coding works when people have enough technical orientation to guide the tools. That is now well demonstrated. Which raises the obvious next question: what happens when we extend those same tools to colleagues with deep domain knowledge but no programming background?

This is not a radical leap. It is the logical extension of the same principle to the people who know the most about the problem.

The citizen AI developer opportunity

The assumption that only technical people can build things is not a law of nature. It is a historical practice, a consequence of software requiring specialist languages to express ideas. AI is now correcting that accident.

Gartner predicts that by 2026, 80% of technology products and services will be built by people who are not technology professionals. That is a fundamental shift in who creates software. And it matters, because business professionals who understand a process are often better positioned to build the right solution than a developer who must first learn the domain.

The gap between knowing what needs to be built and being able to build it has always been expensive. For the first time in the history of software development, it is closable.

The pent-up demand is enormous. Forrester Research found that 60% of employees have ideas for tools or automations that would improve their work, yet fewer than 15% have ever been able to act on them. MIT Sloan Management Review reports that low-code and AI-assisted tools can cut development time by up to 70% when domain experts work directly on their own processes, removing the costly translation layer. Automations, internal tools, lightweight products: all now within reach of people who have never written code.

IDC projects the global shortage of software developers will reach 4 million by 2027. Expanding development capability beyond technical teams is no longer just an efficiency play. It is a necessity.

What this demands from leaders

None of this happens by handing business teams an AI coding tool and wishing them luck. Enablement is the difference between a capability and a mess.

Let me be explicit: this is not a call to let a thousand ungoverned tools bloom. It is a call to invest in structured enablement: training that builds real confidence, sandboxes where people can experiment safely, review processes that catch security and data risks early, and clear paths from prototype to supported product. Engineering teams do not become less important; they become the platform, the guardrails, and the coaches.

The evidence favors those who do it properly. Deloitte Insights finds that organizations investing in citizen developer programs see a 3× higher rate of process automation adoption across business units than those that centralize development in IT. McKinsey reports that companies with high digital fluency across non-technical workforces achieve productivity gains 1.6× greater than those where capability sits only in technical teams. The winners will identify colleagues with the right mix of process knowledge and curiosity, and give them the environment to build.

Every organization has dozens, probably hundreds, of people who know exactly what needs to be built and have never had the means to build it. AI has changed that. So the question for leaders is simple: are you willing to invest in unlocking that knowledge? Make citizen AI development a priority for the coming year. Companies that do will build faster, build closer to the real problem, and develop a compounding organizational capability.

The next developer is already on your team. It is time to tell them.