ServiceNow used its Knowledge 2026 conference to make a clear argument about where AI-assisted development is headed next: the winning platform will not be the one that asks developers to change tools, but the one that lets them build anywhere and still keeps enterprise controls in place.
In an exclusive interview with The New Stack, Jithin Bhasker, the company’s group vice president and general manager of Creator Workflows and App Engine, said the enterprise reality has changed. Developers are already using Claude Code, Codex, Cursor, Windsurf, and the next wave of agentic coding tools as they appear. The question, he argued, is no longer whether those tools exist, but whether organizations can govern what they produce once they are pointed at production systems.
That framing sits behind ServiceNow’s latest release. The company is adding new governance features, wider integrations with third-party development tools, and updates to its own agent-building stack. Build Agent now runs inside agent-first IDEs including Cursor, Windsurf, and GitHub Copilot, and ServiceNow is also embedding the agent into ServiceNow Studio for the first time. Inside Studio, the agent is powered by Anthropic’s Claude Opus 4.6.
The bigger move may be the one that follows the build phase. ServiceNow is pairing those integrations with App Engine Management Center, which it says can manage the lifecycle of the apps and agents teams create. The company says the system adds a self-healing test loop that can write tests, diagnose failures, and patch broken builds until quality gates pass. It is also shipping Agent Packs, which let customers encode their own development standards into the build flow.
ServiceNow’s pitch is less about replacing existing AI coding tools than about becoming the control plane around them. That matters because enterprise buyers are increasingly wary of lock-in: developers want to keep the tools they already like, while CIOs want guardrails, standards, and visibility. In that sense, the competitive question is shifting from “which model writes the code fastest?” to “which platform can keep AI-generated code safe, auditable, and maintainable at scale?”
The answer is still evolving, but the direction is clear. AI-assisted development is no longer just a feature inside an editor. It is becoming a platform layer, and the companies that can span the messy middle between coding, review, testing, and governance are the ones most likely to define the next phase of the market.
