en.Wedoany.com Reported - Oracle on Tuesday expanded its AI Agent Studio for Oracle Fusion Applications, adding professional code development tools, including a command-line interface (CLI) feature called AI Studio Skill that allows developers to build agentic applications using familiar environments such as VS Code, Codex, and Claude Code.
Natalia Rachelson, Senior Vice President of Oracle Fusion Applications, told InfoWorld that AI Studio Skill is a CLI tool that provides AI coding assistants with Fusion-specific context and tools to build native Fusion applications. The tool offers access to the project structure, APIs, templates, validation, packaging, and deployment workflows required for Fusion agentic applications.
Rachelson said: "Think of it as Oracle's tool for popular AI coding assistants. Developers can use models like Codex or Claude Code to generate code, while AI Studio Skill connects these models to Oracle AI Agent Studio and the Fusion runtime."
Analysts believe that access to familiar integrated development environments (IDEs) and tools will make it easier for developers to build and maintain agentic applications for business processes. Scott Bickley, Advisory Research Fellow at Info-Tech Research Group, said AI Studio Skill provides developers with a way to build Fusion agents, akin to creating new software features rather than configuring them like application extensions. Bickley also noted that enterprise developers expect source control, code review, repeatable deployment, testing, or debugging capabilities, and integration into existing toolchains. Connecting various IDEs and code assistance products will make it easier for people to build, validate, and maintain agentic applications using familiar tools and processes.
For Robert Kramer, Managing Partner at KramerERP, this move could drive greater adoption of Studio itself. Kramer believes Oracle is meeting developers where they work, making Fusion a more attractive platform for building agentic applications.
Bickley pointed out that CLI and IDE integration goes beyond developer productivity, addressing governance and execution challenges that often prevent AI prototypes from reaching production. He noted that one of the most painful barriers to production-grade AI is that many prototypes are built outside enterprise systems, which already have built-in identity, permissions, workflow approvals, and overall system governance. In contrast, these integrations will allow enterprises to run agentic applications from within the Oracle platform, leveraging existing business context, identity, approvals, and governance, rather than recreating these capabilities through an external orchestration layer when moving to production. Bickley added that this shift benefits CIOs by accelerating business outcomes within a trusted environment. Kramer also said that governance, observability, and lifecycle management become more important for CIOs once agentic applications go into production.
Analysts also warned that building and running agentic applications natively within Oracle Fusion involves trade-offs. Bickley noted that as more business processes become agentic, CIOs should closely monitor vendor lock-in issues. He recommended ensuring the ATLAS framework provides an accurate validation layer with low overhead costs, and considering leverage Oracle might exploit contractually or commercially in the future. Bickley believes return on investment should be modeled against progressive monetization patterns, as AI agents run on consumption-based infrastructure, so terms limiting cost stacking and escalation should be agreed upon before lock-in. These considerations are becoming increasingly important as most enterprise software vendors, including SAP and ServiceNow, are rolling out products and services to become the runtime and orchestration layer for enterprise AI. In May, SAP expanded its AI strategy by launching a unified business AI platform, Joule Studio 2.0, and AI Agent Hub, enabling enterprises to build, govern, and run AI agents within a managed runtime. In June, ServiceNow added new features to its Context Engine and AI Control Tower to better embed governance, enterprise context, and observability into AI workflows across enterprise systems. That same month, Salesforce enhanced its ability to more tightly bind AI agents to trusted enterprise data and operational workflows through its acquisition of Informatica. Oracle said that for developers and enterprises willing to try the new CLI experience, the tool is accessible from within Studio at no additional cost. The company also added a public GitHub repository that will provide templates, starter projects, sample applications, reusable assets, and reference architectures to help developers build and validate agentic applications faster.
