Pegasystems Inc launched Pega Infinity Studio, an AI-powered development environment designed to build mission-critical applications without AI coding risks or extended learning curves. Announced at PegaWorld, the solution infuses architectural and industry best practices from Pega Blueprint AI into a reimagined, AI-first developer interface. The embedded AI Assistant guides developers using Pega AI or their own AI coding agents, including GitHub Copilot, Anthropic Claude AI, and OpenAI Codex, to build industrial-strength apps rooted in domain expertise and scalable architectural patterns.

Research indicates AI-generated code introduces 1.7x more defects than human-written code. Pega Infinity Studio addresses this by embedding the workflow design capabilities of Pega Blueprint AI directly into the build experience. This integration allows developers to pull best practices and design recommendations into the development process, optimizing performance and simplifying future changes with minimal training. The Blueprint designs automatically generate a Pega Infinity Studio implementation plan to guide the rapid deployment of production-ready apps.

The embedded AI Assistant enables developers to execute tasks in natural language and supports open MCP connectivity. This allows users to power the assistant with their own agentic coding tools, such as Claude Code, OpenAI Codex, or GitHub Copilot. Pega Infinity 26 includes 10 new MCP tools and more than 50 agent skills that automate the building, reviewing, testing, and updating of Pega apps, all adhering to Pega best practices.

Key Features of Pega Infinity Studio

Pega Infinity Studio will be available with the launch of the full Pega Infinity 26 suite expected in Q3. The solutions are on display at PegaWorld, the annual user conference at the MGM Grand in Las Vegas.

Organizations achieving success with agentic artificial intelligence (AI) are primarily those that rethink existing processes to support a culture of collaboration and innovation, according to new research from Pegasystems Inc. The study, conducted with research firm Savanta, surveyed more than 500 business and IT decision makers worldwide who have already implemented agentic AI projects. The findings were unveiled at PegaWorld, the company's annual conference in Las Vegas.

The research indicates that 96% of successful implementers had rethought existing processes, with 53% doing so to a significant extent. This cultural shift is driven by a desire for consistent, predictable outcomes. Approximately 71% of respondents cited automating and simplifying complex processes as a top two pre-deployment objective, with 45% ranking it as their top priority. Furthermore, 58% reported that their execution aligned with these objectives, resulting in predictable outcomes and improved customer experiences.

Key Success Factors

The study highlighted several behaviors common among organizations that have successfully deployed agentic AI. A vast majority, 95%, possess a specific corporate-level strategy and execution plan. Additionally, 65% have comprehensive, pre-agreed success metrics tied to business outcomes that are regularly reviewed to evaluate implementation success.

Barriers to Adoption

Despite the potential benefits, the research identified significant barriers to achieving positive outcomes. Over three quarters (77%) of respondents pointed to a lack of sufficient resources as a leading barrier. Similarly, 75% agreed that a lack of knowledge and understanding of the benefits agentic AI can bring is the biggest obstacle to success.

Don Schuerman, chief technology officer of Pegasystems, noted that the industry is reaching a tipping point where adoption is high but maturity is not. He emphasized that the value of agentic AI comes from rethinking ways of working and aligning culture around what the technology makes possible.