Learn how to prepare your teams for an AI-native era defined by developer creativity, agentic workflows and rapid feedback loops, all while mitigating risks.

In our view, the report highlights:

Key use cases

Increased Productivity, Agentic Workflows, and Rapid Feedback

Emerging trends

Degradation of critical skill sets and software quality, increased security risk, compounded risk of hallucinations in multiagentic workflows

Vendor insights

Vendors that enable AI-native software engineering

Recommendations

Assess agent-based tools for automation while ensuring human oversight, and explore autonomous improvement loops for low-risk, high-value tasks.

Gartner, Innovation Insight for AI-Native Software Engineering, By Manjunath Bhat, Arun Batchu, Mark Driver, Philip Walsh, Adrian Leow, 13 January 2025.

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