Progress Software Announces New Telerik and Kendo UI Release to Accelerate AI-Powered Development and Agent-Ready Applications

In August 2026, Progress Software recently announced a new release of its Telerik and Kendo UI platforms, adding AI capabilities aimed at helping development teams move from AI-assisted coding towards production applications that are designed to support both human users and AI agents. The release expands AI integration across various domains such as UI generation, application modernization, debugging and data interaction. It also introduces capabilities for agent-based document processing and enables AI agents to interact directly with application interfaces.

The release also extends debugging capabilities through Progress Fiddler Agent Skills, giving coding assistants visibility into network traffic and enabling them to identify potential problems and suggest solutions within the development environment.

For applications that work with documents, agent tools in Telerik Document Processing Libraries are able to extract structured data, analyze Excel files, convert formats and generate documents without relying on external AI services, according to Progress. Developers can also connect .NET applications to Progress RAG-as-a-Service to enable large language models to analyze and interact with unstructured enterprise data, documents and other information.

Another addition is the WebMCP, which enables AI agents to interact directly with application interfaces. The company said the approach is intended to provide a more reliable alternative to screen-scraping techniques for agent-driven application interactions.

Impact on the AI Market

This release introduces a comprehensive set of AI-driven capabilities, all the way from embedding accessibility and intelligent UI generation and design process to enabling smarter debugging with proactive insights, agent-based document processing and seamless AI interaction with application interfaces. The release also supports legacy modernization and RAG-powered data interaction, while helping teams build and ship intuitive, AI-ready user experiences faster through new components, automation and integrated tooling. Other services include:

• Comply with Accessibility Standards without Tedious Manual Work: Leverage the Progress Agentic UI Generator to embed component-level accessibility directly into UI creation, delivering contextual guidance that reduces compliance risk and advances inclusive experiences.
• Pinpoint Problems Faster with In-IDE Debugging and Automated Problem Alerts: Enable smarter debugging with Progress Fiddler Agent Skills by giving coding assistants direct visibility into network traffic, including the ability to proactively alert developers of problems and their suggested solutions.
• Enable Agents to Interact with Documents: Extract structured data, analyze Excel files, convert formats, and generate documents within existing applications without external AI services, using agent tools in Telerik® Document Processing Libraries (DPL).

Impact on the Agentic AI in Enterprise Operations Market

The global agentic AI in enterprise operations market is driven by the rise of AI-powered agents that adapt, learn, and act within enterprise ecosystems. The market is experiencing significant growth, led by rapid digital transformation, increasing demand for autonomous decision-making for business activities, and increasing integration of AI with enterprise software.

According to Precedence Research, connectivity and compatibility with ERPs, CRMs, and Supply Chain Management systems are important accelerants for the adoption of AI tools in enterprises, especially when the tool works natively on the enterprise information systems that exist, so the enterprise can realize value quickly. Organizations all over the world are under pressure to reduce costs, reduce mistakes in processes, and improve return on investment. Agentic AI automates repetitive, resource-consuming tasks with greater accuracy and smarts that improve efficiencies and free up employees to do the strategic portions of their jobs.

The agentic AI in the enterprise operations market is further being driven by the shift to hyper-personalization at scale. Unlike legacy automation approaches, agentic AI can learn user preferences dynamically, autonomously reconfigure workflows, and respond contextually across various enterprise functions. The growth of agentic AI is also tied to the growing demand for organizations to make autonomous decisions. Agentic AI offers organizations the potential for lower manual intervention in tasks, contributory workflows, and acquisition agility in open environments. Initial applications that can be observed are real-time uses of agentic AI, such as AI-driven intelligent customer service agents, financial risk assessments, autonomous supply chain and logistics platforms, and workflows.

Impact on the Artificial Intelligence (AI) Infrastructure Market

The global artificial intelligence (AI) infrastructure market size accounted for USD 72.02 billion in 2025 and is predicted to increase from USD 91.21 billion in 2026 to approximately USD 518.26 billion by 2035, expanding at a CAGR of 21.82% from 2026 to 2035.

According to Precedence Research, the market has been expanding steadily due to the rising need for AI-driven solutions in industries including healthcare, banking, retail, manufacturing, and automotive. Because of their capacity for parallel computing, graphics processing units (GPUs) are frequently employed to accelerate artificial intelligence workloads. The demand for real-time AI inference and the growth of IoT devices have led to an increasing focus on edge computing solutions. By allowing AI inference to be done locally on devices, edge AI solutions improve privacy and security while lowering latency and bandwidth needs.

The need for artificial intelligence (AI) infrastructure is growing as companies in numerous sectors incorporate AI into their operations to obtain insights, automate procedures, and improve decision-making. This covers both software frameworks and tools for AI development and deployment, as well as hardware like GPUs, TPUs, and specialist AI chips. The increasing ubiquity of cloud computing also offers resources that are both affordable and scalable for the implementation of artificial intelligence (AI) infrastructure. By providing AI-specific services and solutions, cloud service providers allow businesses to access strong computing resources without having to make a sizable upfront hardware investment.

Expert Opinion

“Engineering teams need AI to scale their productivity and to increase the production of agentic applications,” said Loren Jarrett, EVP and GM, Digital Experience, Progress Software. “This release supports those needs by extending developer productivity and providing pioneering UI tools to build AI-embedded applications compatible with both human and agent interactions.”