Oracle AI Studio Bridges Gap From No-Code to Pro-Code Tech

In July 2026, Oracle helped both software engineers and non-technical business users to build and run their own agentic applications with Oracle AI Agent Studio for Fusion Applications, which integrates core functions like finance, supply chain, HR, and customer experience into daily workflows. The new unified framework runs inside Oracle’s enterprise ecosystem to inherit existing security, governance, and compliance controls without the need to add them later. Rather than acting as reactive conversational copilots that sit on top of software, Oracle’s new agentic applications are complete, outcome-driven systems. They employ specialized teams of AI agents to coordinate, reason, make decisions, and execute complex workflows natively.

Engineers can now use familiar tools like VS Code, Git, and Claude Code to deploy autonomous systems directly within the Fusion cloud software environment. To make this technology accessible across entire organizations, Oracle has also designed a unified builder experience that caters to all skill levels:

• For the business user (no-code): Employees can build and deploy agentic workflows using everyday natural language through the Agentic Applications Builder.
• For the engineer (pro-code): Developers can leverage the new AI Studio Skill to build using the tools they already use daily. This includes Visual Studio Code, standard command-line interfaces, Git-based workflows, and advanced AI coding assistants like Anthropic’s Claude Code and OpenAI’s Codex.

For developers, this means there is no steep learning curve or proprietary lock-in. They can write, debug, and push code using standard CI/CD pipelines, supported by a new public GitHub repository filled with templates, starter projects, and sample architectures.

When AI applications are built outside the enterprise system, developers must separately solve complex issues like data access, identity, and audit trails. By keeping the AI runtime entirely within Oracle Fusion, those capabilities are built in from the start. Also, Oracle’s open execution model allows these systems to play nice with others; a company can seamlessly connect Oracle agents with custom-built or third-party agents. To support this rollout, Oracle is expanding its AI Agent Marketplace and already boasts a growing ecosystem of over 80,000 certified experts trained to help businesses deploy these systems.

Impact on the ICT Market

The rise of no-code and low-code platforms has transformed software development. People with limited technical skills can quickly and easily create applications using these platforms. Pro-code, on the other hand, is mainly used for complex applications that need high customization, performance tuning, or integration with other systems. It provides greater control over the software’s features, design, and scalability, making it the preferred choice for large enterprise applications, specialized industry solutions, and projects with unique technical needs.

Pro-code development is valuable for its ability to deliver highly customized solutions, optimize performance, and meet industry standards. Its flexibility and control make it well-suited for handling complex technical challenges and producing tailored results. Leading pro developers are driving innovation in areas like Artificial Intelligence, Machine Learning, Blockchain, and advanced Cloud Computing. These cutting-edge technologies often require expert-level coding skills that go beyond what low-code platforms can offer.

Impact of Generative AI in the Software Development Lifecycle Market

The global generative AI in software development lifecycle market size was calculated at USD 640.12 million in 2025 and is predicted to increase from USD 868.13 million in 2026 to approximately USD 13474.07 million by 2035, expanding at a CAGR of 35.62% from 2026 to 2035.

According to Precedence Research, the market is set for significant growth as organizations increasingly seek innovative solutions to enhance efficiency and productivity. By automating various stages of software development, generative AI tools are transforming traditional workflows and driving new capabilities. The market is growing rapidly as companies strive to modernize their development environments. The rising need to release products faster and develop them is also further fueling the need to implement AI-powered code assistants and automatic development tools.

Another trend that is set to change the software development lifecycle is agentic AI. Such AI systems can work independently and perform complex tasks, including code writing, debugging, testing, and recommendations. AI-based coding assistants are also helping create code snippets, automate repetitive processes, or find solutions to programming bugs faster. This causes digital products to have shorter time-to-market development cycles.

Impact on the Artificial Intelligence Software Platform Market

The global artificial intelligence software platform market size is estimated at USD 26.65 billion in 2025 and is predicted to increase from USD 30.44 billion in 2026 to approximately USD 98.26 billion by 2035, expanding at a CAGR of 13.94% from 2026 to 2035.

According to Precedence Research, industries are investing in AI platforms to automate routine tasks, streamline processes, and boost efficiency. This intelligent automation streamlines manual tasks, reduces costs, and enables human resources to focus on more critical areas, thus enhancing overall business productivity. The rising demand for industry-specific solutions also boosts the growth of the market. Both private and public sectors are heavily investing in AI platforms, driving innovation.

There is also a strong focus on industrial automation, which creates immense opportunities in the artificial intelligence software platform market. Businesses across various industries are increasingly adopting AI to automate processes, improve decision-making, and enhance customer experiences. This trend is driven by the need for increased productivity, improved quality control, and enhanced safety in manufacturing and other industrial sectors.

Expert Opinion

Chris Leone, Executive Vice President of Applications Development at Oracle, says,

“Enterprise software is moving beyond systems that record work to systems that actively drive and execute outcomes. This is fundamentally different from building disconnected AI automations and then trying to bolt on enterprise controls later.”