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Research Mar 2026
... Access Insights Already a Gartner client? No-code AI agent builder tools can transform operational efficiency for U.S. healthcare payers. CIOs should read this research for strategic recommendations as well as guidance on implementing and governing no-code AI agent builder solutions. Overview Strategic ...

Analyst(s):   Austynn Eubank   |   Amanda Dall'Occhio   |   Connie Salgy
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Premium Research Aug 2025
... Takes Fresh insights on emerging trends OpenAI’s long-anticipated launch of GPT-5 has delivered a new model that challenges Anthropic’s Claude for coding. Overall, however, GPT-5 represents an incremental improvement rather than a breakthrough and continues to hallucinate under edge conditions. Contributors ...

Analyst(s):   Chirag Dekate   |   Arun Chandrasekaran   |   Sumit Agarwal   |   Mark O'Neill   |   Avivah Litan   |   Leinar Ramos   |   Jeremy D'Hoinne   |   Gary Olliffe   |   Keith Guttridge
Research Jan 2026
... Access Insights Already a Gartner client? Heads of I&O must operationalize service‑level assurance as code — powered by telemetry‑driven, agentic AI — to modernize IT operations and deliver measurable business outcomes at scale. Overview Strategic Planning Assumptions Introduction Impacts and Recommendations ...

Analyst(s):   Jeff Vogel
Research Feb 2026
... geopolitical risk from reliance on U.S. productivity suites. A consortium-backed open source alternative could reduce dependency and spur competition. AI coding agents now change feasibility by slashing build cost and time. CIOs should prepare for commoditized office tools. Gartner Recommended Reading Gartner ...

Analyst(s):   Larry Cannell
Research Sep 2025
... Requirements Management Deployment Type Model Choice Code Review Analytics Dashboard Application Creation Code Quality Assurance Code Transformation and Modernization Code Understanding Requirements in Work Management Inclusion Criteria Gartner Recommended Reading Critical Capabilities Methodology Gartner ...

Analyst(s):   Philip Walsh   |   Matt Brasier   |   Arun Batchu   |   Haritha Khandabattu
Research Jul 2025
... has created a critical review bottleneck as engineering teams generate dramatically more new code without increasing code review capacity. This research helps engineering leaders evaluate and implement AI code review tools for scaling quality assurance. Overview Strategic Planning Assumption Introduction ...

Analyst(s):   Nitish Tyagi   |   Shiva Varma   |   Arun Batchu
Premium Research Oct 2025
... This Consult the Board survey summary features inputs from 12 Gartner Research Board for Global CIOs members regarding their adoption of Rules as Code (RaC). It describes the resourcing models, tools and frameworks, and performance methods to build and operationalize RaC initiatives. Overview Summary ...

Analyst(s):   Consult the Board Research Team
Research Jun 2025
... Gartner client? The AI code assistants landscape in software engineering is transforming rapidly. Software engineering leaders can use this report to evaluate five vendors that deliver key benefits: context-aware productivity, customizable open-source assistants, precise code reviews, behavior-first ...

Analyst(s):   Nitish Tyagi   |   Arun Batchu   |   Jim Scheibmeir   |   Deacon D.K Wan
Research Aug 2025
... Access Insights Already a Gartner client? Developers often lack adequate training or time to identify and resolve security issues in their code. AI code security assistants help cybersecurity leaders address this challenge by providing contextually relevant, developer-friendly guidance to uncover and ...

Analyst(s):   Mark Horvath   |   Manjunath Bhat   |   Dionisio Zumerle
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