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Premium Research Jun 2026
... engineering leaders should view SpaceX’s acquisition as a turning point for Cursor, giving it the capital, compute and model access to expand beyond AI coding assistance while increasing questions about roadmap control, model choice and governance. Analysis Gartner Recommended Reading Evolving Insights History ...

Analyst(s):   Philip Walsh   |   Nitish Tyagi   |   C.A. Swan   |   Mark O'Neill   |   Neha Agarwal
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Premium Research Jun 2026
... proficiency in business and financial acumen, GenAI work augmentation, insight generation and critical thinking, business technology capabilities, and coding acumen and algorithm bias detection. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Valeria Miron
Research Jun 2026
... Access Insights Already a Gartner client? Anthropic’s Claude Code is the current leader in autonomous software engineering agents, driven by record subscription growth, developer satisfaction, and advanced agentic capabilities. Its challenges center on distribution, single-model dependency, infrastructure ...

Analyst(s):   Mark Driver   |   Russ Hendy
Premium Research Apr 2026
... Gartner First Takes Fresh insights on emerging trends DeepSeek V4 offers enterprise-grade AI coding performance at significantly lower cost than closed-source competitors. Software engineering leaders need to compare V4 to closed-source models to determine the cost-effectiveness of tooling and components ...

Analyst(s):   Jim Scheibmeir   |   Wei Jin
Premium Research Jun 2026
... building, deploying, and managing containerized applications across consistent clusters. Adopt infrastructure platform engineering, GitOps, and policy as code to enhance its value by streamlining self-service and multicluster deployments. Overview Problem Statement The Gartner Approach The Guidance Framework ...

Analyst(s):   Ross Fomerand
Premium Research May 2026
... GitHub Copilot’s shift to consumption pricing on 1 June 2026 is set to severely disrupt enterprise AI coding costs. Software engineering leaders must immediately analyze usage, implement spend controls, and prioritize workloads to avoid budget overruns and delivery disruption. Insights at a Glance Strategic ...

Analyst(s):   Luke Parker   |   Nitish Tyagi   |   Philip Walsh   |   Keith Holloway
Premium Research Jun 2026
... Traditional threat modeling approaches do not align well with the frequent code releases preferred by software engineers. This research helps organizations adopt AI-augmented threat modeling activities into the software development life cycle to reduce insecure approaches and match the pace of feature ...

Analyst(s):   Johnny Walters
Premium Research Mar 2026
... of safe AI projects and providers in 2026. However, there are some signs that breakaway AI adopters are ready to move beyond the limitations of low-risk/low-disruption projects. Insights at a Glance Issue Context Impact Brief Implications Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Christine Adams
Research Sep 2026
... with varying demands. While established vendors lead, a number of emerging startups offer differentiated AI compute offerings with unique benefits — low latency, higher throughput, and customizability. Overview Strategic Planning Assumptions Analysis Gartner Recommended Reading Note 1 Gartner Insights ...

Analyst(s):   Gaurav Gupta
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