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Premium Research Jul 2026
... Organizations have embraced AI code assistants but the technology is accelerating fast. Software engineers moving from assisted to agentic coding must improve their tools, skills, patterns and processes to mitigate the new risks and maximize productivity. Overview Problem Statement The Gartner Approach ...

Analyst(s):   Matt Brasier
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Premium Research Jan 2025
... No-code development tools have gained popularity in recent years as an alternative to more complex low-code platforms. Enterprise application leaders must create a strategy to identify effective ways to use no-code tools when building and blending their enterprise application capabilities. More Detail ...

Analyst(s):   Saikat Ray   |   Sohail Majumdar   |   Keith Guttridge   |   Joe Mariano   |   Kelli Smith   |   Jason Wong
Premium Research Feb 2024
... Integration is essential to delivering modern applications. Many organizations are augmenting their low-code integration platforms with code-based approaches to accelerate delivery. Technical professionals adopting code-based integration must use standard patterns and separate out integration logic. Overview ...

Analyst(s):   Matt Brasier
Premium Research Dec 2024
... The “future of code” and the evolving role of deep programming expertise will massively impact software engineering. On the Steering Engineering Podcast, software engineering leaders will learn about the balance of the traditional role of coding versus low-code platforms and AI coding assistants. Overview ...

Analyst(s):   Danny Brian   |   Brent Stewart   |   Kyle Davis
Premium Research Jun 2026
... Agents have lowered the bar to produce code; they have not lowered the bar to own it. Software engineering teams must treat AI-authored code as code in every respect, while enabling citizen developers to participate in foundational SDLC practices. Overview Analysis Recommendations Conclusion Gartner ...

Analyst(s):   Danny Brian
Premium Research Jan 2024
... The 2024 Gartner CIO and Technology Executive Survey identifies AI, low-code/no-code development platforms and distributed cloud as asset-intensive manufacturers’ top three tech investments to deliver business outcomes. CIOs can use this Infographic to benchmark their plans against peers’. Overview ...

Analyst(s):   Marc Halpern   |   Sudip Pattanayak   |   Kristian Steenstrup
Research Jun 2019
... Read this blog to learn how BP deployed a range of low-code and no-code platforms to enable non-IT employees to build their own digital solutions and support a diverse range of use cases, business needs and stakeholder capabilities. Recommended by the Authors Gartner Insights Abstract ...

Analyst(s):   Enterprise Architecture Research Team
Premium Research Dec 2024
... DSML platforms streamline the data science life cycle and foster collaboration across teams through integrated code-based libraries and low-code tools. This note guides data and analytics leaders to learn from the implementation experiences of their peers shared on Gartner Peer Insights. Overview Peer ...

Analyst(s):   Peer Contributors
Premium Research Jul 2026
... Ungoverned vibe coding creates unmanaged risk, bypassing existing security and governance controls. Application leaders should use this research to implement continuous governance, securing AI-generated applications while ensuring compliance and financial accountability. Insights at a Glance Issue Impact ...

Analyst(s):   Sohail Majumdar   |   Hao Yin   |   Mike Warren
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