Back to search
AI Assistant in Delivery Intro
September 24, 2026 | 06:11
Pega's AI assistants work best with specific prompts, not broad ones, and with improvements shipping every three weeks, the gaps close fast. What sets them apart: context awareness, best-practice skills from Pega engineers, security inherited from the developer's own permissions, and human-in-the-loop branch isolation for safe parallel work. The session compares the three paths: Blueprint, Infinity Studio, and the MCP/Infinity AI plugin, plus availability in Infinity 26 and where the token costs land.
Related Videos
More Data with Less Complexity
Overview of More Data with Less Complexity in Infinity 26
GenAI Dev Tools at Scale in Infinity 26
Overview of the GenAI Dev Tools at Scale in Infinity 26
Infinity's AI First Portal
Overview of the new AI First Portal in Infinity 26
Pega as a First-Class MCP Platform
Overview of Pega as a First-Class MCP Platform
External AI Agents for Agentic Dev
Overview of External AI Agents for Agentic Dev in Infinity 26
AI-First Authoring Experience
Overview of the AI-First Authoring Experience in Infinity 26
AI Assistant in Infinity Studio
Import a high-fidelity Blueprint into Infinity Studio and the implementation plan becomes the assistant's build instructions…
AI Assistant in Blueprint
Blueprint's AI assistant turns a generic first draft into a near high-fidelity design: the idea is having a set of…
Agentic authoring through external agents
Pega enables external AI coding agents to build enterprise applications by integrating with its orchestration engine and…