Oracle on Tuesday expanded its AI Agent Studio for Fusion Applications with new pro-code development tools, including a CLI-based capability called AI Studio Skill, allowing developers to build agentic applications using familiar environments such as VS Code, Codex, and Claude Code.
The AI Studio Skill is the CLI that provides the Fusion-specific context and tooling that AI coding assistants need to build Fusion-native applications. It provides access to the project structure, APIs, templates, validation, packaging, and deployment workflows required for Fusion Agentic Applications, Natalia Rachelson, SVP of product for Fusion Applications at Oracle, told InfoWorld.
“Think of it as Oracle’s development harness for popular AI coding assistants. Developers can use models like Codex or Claude Code to generate code, while the AI Studio Skill connects those models to Oracle AI Agent Studio and the Fusion runtime,” Rachelson said.
The access to familiar IDEs and harnesses, according to analysts, will make it easier for developers to build and maintain agentic applications for business workflows.
“The AI Studio Skill provides developers a way to build Fusion agents like a new software function versus configuring them like application extensions,” said Scott Bickley, advisory fellow at Info-Tech Research Group.
“Enterprise developers expect source control, code review, repeatable deployments, testing or debugging, and integration into their existing toolchains. Connecting the various IDEs and code assist products will make it easier to build, validate, and maintain agentic applications using already familiar tools and processes. This ostensibly will result in agents that are easier to maintain, govern, and align with enterprise development practices,” Bickley added.
For Robert Kramer, managing partner at KramerERP, the move is likely to drive more adoption of the Studio itself: “Oracle is meeting developers where they already work and making Fusion a more attractive place to build agentic applications.” However, the CLI and IDE integrations, for Bickley, extend beyond developer productivity into tackling the governance and execution challenges that often prevent AI prototypes from reaching production.
“One of the most painful barriers to production AI is that many prototypes are built outside the enterprise systems where identity, permissions, workflow approvals, and overall system governance are already built in,” Bickley said.
In contrast, the integrations will allow enterprises to run agentic applications from inside Oracle’s platform, leveraging existing business context, identity, approvals, and governance rather than recreating those capabilities through external orchestration layers when moving them into production, Bickley added.
That shift, the analyst further added, will prove beneficial for CIOs because it will accelerate business outcomes while operating within a trusted environment.
Governance, observability, and lifecycle management matter more to CIOs after agentic applications move into production, Kramer echoed.
The approach of building and running agentic applications natively inside Oracle Fusion, though, is not without trade-offs, analysts cautioned.
CIOs should pay close attention to vendor lock-in as more business processes become agentic, Bickley pointed out.
“In the case of Oracle Fusion, ensure the ATLAS framework provides an accurate validation layer at a low cost of overhead. Consider the levers that Oracle may avail itself of contractually or commercially in the future,” Bickley said.
“ROI should be modeled against a progressive monetization schema as AI agents operate upon a consumption-based infrastructure. As such, ensure provisions limiting cost overlays and uplifts are agreed upon prior to locking in,” Bickley added.
These considerations, the analyst further added, are becoming increasingly relevant because most enterprise software vendors, including the likes of SAP and ServiceNow, are introducing offerings and features to become the runtime and orchestration layer for enterprise AI.
Earlier in May, SAP expanded its AI strategy with the Autonomous Enterprise vision, introducing a unified Business AI Platform, Joule Studio 2.0, and AI Agent Hub to let enterprises build, govern, and run AI agents within a managed runtime.
In June, ServiceNow expanded its AI transformation by adding new features to its Context Engine and AI Control Tower, in order to better embed governance, enterprise context, and observability into AI workflows across enterprise systems.
During the same month, Salesforce, via its Informatica acquisition, added features to tie AI agents more closely to trusted enterprise data and operational workflows.
For developers and enterprises willing to try out the new CLI-based experience, it can be accessed from within the Studio without any additional cost, Oracle said. The company is also adding a public GitHub repository that it said will provide templates, starter projects, sample applications, reusable assets, and reference architectures to help developers build and validate agentic applications faster.