2026 Magic Quadrant for Enterprise AI Coding Agents: A Guided Tour

• Key insights from Gartner’s 2026 Magic Quadrant for Enterprise AI Coding Agents

• How to interpret the Magic Quadrant as a view of overall vendor position and the companion Critical Capabilities research as a deep dive into product capabilities

• How leading vendors are differentiating across agentic workflows, platforms, models, governance and enterprise readiness

• The market forces reshaping enterprise AI coding agents, including the rise of more autonomous workflows, expansion across the SDLC and frontier model providers moving up the stack

• What evolving pricing and consumption models mean for productivity, cost governance and ROI

• Key considerations for evaluating, adopting and scaling AI coding agents in enterprise software engineering organizations

Enterprise AI coding agents are reshaping software engineering as adoption expands, agentic workflows mature and vendor competition intensifies. What began as AI-assisted code completion has evolved into a market defined by increasingly autonomous systems that can plan, execute and verify multistep development tasks across code, tests and related engineering artifacts.

In this webinar, Gartner experts will walk software engineering leaders through the 2026 Magic Quadrant for Enterprise AI Coding Agents, offering insight into the vendor landscape, key evaluation criteria and major trends shaping the market. Attendees will learn how to interpret the Magic Quadrant through an enterprise buying lens, including how governance, pricing, support, deployment models, workflow integration and market durability affect vendor position.

The session will also help attendees understand the shift from AI code assistants toward agentic coding workflows across the SDLC. Whether you are evaluating your first enterprise AI coding agent or reassessing existing AI coding investments, this webinar will help you apply the research to tool selection, operating model decisions and AI-native software engineering strategy.

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