Oracle rolls out an “AI agent builder” that aims to merge no-code creation with developer tooling

Oracle is adding a new capability aimed at letting companies build “AI agents” in a way that bridges two groups inside most IT organizations, business users who want low-code or no-code workflows and developers who need more control.

In a market report posted July 14, Oracle described the new offering as an AI agent builder that combines no-code tools with developer-focused capabilities in a single platform. The company’s framing suggests it is trying to reduce the gap between prototype and production by letting teams collaborate on the same agent-building workflow rather than relying on separate toolchains.

AI agents, in general, are software programs that can take actions based on inputs, such as retrieving information, executing tasks, or coordinating multi-step workflows. Oracle’s positioning around an “agent builder” indicates it wants customers to assemble those capabilities more directly, without requiring every use case to start from custom code.

The announcement was reported by Yahoo Finance as part of Oracle’s ongoing push to broaden the reach of its cloud and enterprise technology with AI tooling. Oracle’s market-facing message centered on the idea that the builder unifies no-code and developer tools, but the report did not provide additional product specifics such as model choices, pricing, integration breadth, or availability timeline.

Oracle also did not disclose, in the reported item, how the builder will handle governance and safety controls, or what level of observability customers will get for auditing agent actions. Those details matter because AI agents can affect real business processes, so enterprises often require clear controls over permissions, data access, and performance tracking.

For Oracle, the opportunity is straightforward but demanding. Enterprises increasingly want AI that can do work, not just answer questions, and they want it deployed across existing systems of record. A builder that targets both no-code creators and developers is designed to support faster experimentation while still fitting into standard software development practices.

In the broader technology sector, vendors are racing to package agent-building capabilities into products that can be used by teams without deep research or engineering resources. Oracle’s stated emphasis on unifying no-code and developer tools puts it in direct competition with platforms that aim to make AI assistants and automation more accessible while still supporting customization.

As with many such announcements, what is not said in the reported post limits how much can be concluded about the offering’s depth. The article did not lay out technical architecture, supported deployment environments, or the specific enterprise applications and databases the builder will connect to, leaving customers and partners to wait for further documentation or product materials.