... idle capacity feels like wasted productivity. It reshapes how top performers work and widens the gap between speed and business value. Software engineering leaders must anchor productivity in delivered outcomes. Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): C.A. Swan
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... AI coding agents have shifted from coding assistants to collaborators, and the developer skills that matter are shifting toward deep systems engineering. Development teams should learn these skills now to build better software that is easier to automate, improve and enhance over time. Overview Analysis ...
... AI gateways are essential components for managing how AI agents access both AI models and Model Context Protocol servers. Software engineering teams should implement AI gateways to enforce policies for AI model routing, load balancing, data protection, cost visibility, security, and identity controls ...
Analyst(s): Keith Guttridge | Shiva Varma | Andrew Humphreys
... Access Insights Already a Gartner client? Narrowly measured AI agent development fails broadly. Software engineering leaders can enhance AI agent quality by implementing diverse metrics, monitoring customer satisfaction, and optimizing team and AI agent performance. Insights at a Glance Impact Actions ...
... Software testing often delays delivery due to costly manual and traditional automation. With faster development from generative AI, software engineering leaders must reshape skills, teams, and practices to enable effective agentic-AI-driven testing. Insights at a Glance Strategic Planning Assumption ...
Analyst(s): Thomas Murphy | Jim Scheibmeir | Joachim Herschmann
... CEOs want growth but with lower risk exposure and clearer returns. CSCOs can align the supply chain with CEO priorities by containing growth risk, engineering tariff-ready networks, proving AI productivity and building technology sovereignty into supplier and platform decisions. Insights at a Glance Issue ...
... AI-assisted development, shifting power upstream from code to intent. When product management does not explicitly own intent, control defaults to engineering practices or AI systems. Insights at a Glance Strategic Planning Assumption Issue Context Impact Brief Implications Gartner Recommended Reading ...
Analyst(s): Mark Driver | Clifton Gilley | Kelli Smith
... support to proliferation of AI agents. Explore best practices and tools for discovering and managing machine identities — to reduce your organizations’ attack surface, improve its identity posture and, ultimately, reduce risk. AI and IAM IAM leaders are using AI as a force multiplier—automating work, surfacing ...