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Premium Research Dec 2024
... Intelligence Workforce Engagement Management Intelligent Voice Support Platform Ecosystem and Integration Usability Globalization Collaboration Composability Low-Code Development Global Business-to-Business Business-to-Consumer Public Sector Digital Customer Service Inclusion and Exclusion Criteria Gartner Recommended ...

Analyst(s):   Wynn White   |   Pri Rathnayake   |   Drew Kraus
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Premium Research Mar 2026
... Software engineering leaders should prioritize engineering a harness layer before scaling agent adoption by selecting a harness product (such as Claude Code, OpenAI Codex or Kiro) and assigning platform engineering teams to own context management, real-time backpressure and verification gates. Insights at ...

Analyst(s):   C.A. Swan
Research Apr 2026
... Access Insights Already a Gartner client? In 4Q25, the data center hardware integrated systems market revenue saw modest growth as enterprises prioritized buying AI-optimized servers. For providers, the biggest opportunity lies in providing AI-ready integrated systems. Overview Methodologies and Definit ...

Analyst(s):   Suzie Low   |   Uko Tian   |   Adrian O'Connell   |   Amit Goyal   |   Andrew H Kim
Premium Research Jul 2026
... emerging trends Software engineering leaders should view Anaconda’s acquisition of Kilo Code as the software company’s push into AI engineering, but they should also recognize it doesn’t guarantee success. Kilo Code’s limited enterprise mind share leaves Anaconda to prove its value in a fiercely competitive ...

Analyst(s):   Nitish Tyagi   |   Neha Agarwal
Research Aug 2026
... Already a Gartner client? Many CCEOs have not yet updated their codes of conduct to address AI, leaving employees without clear expectations for responsible use. Reduce AI-related risk by incorporating common elements of AI guidance into your code and tailoring them to your organization’s unique context. ...

Analyst(s):   Matt Cantrell
Premium Research Sep 2026
... Software engineering leaders must build the context, controls and verification that AI coding agents need, then use the organization-owned harness to scale governed automation across the SDLC. Overview Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   C.A. Swan
Premium Research Aug 2026
... Growing interest in AI-augmented code modernization tools has brought many new vendors to the market. This document uses Magic Quadrant and Critical Capabilities research to guide your vendor selection, ensuring the chosen tool aligns with your strategic goals. Insights at a Glance Gartner Insights Abstract ...

Analyst(s):   Prasanna Lakshmi Narasimha   |   Wei Jin   |   Deacon D.K Wan   |   Erin Khoo
Research May 2026
... Access Insights Already a Gartner client? As businesses increasingly push for speed and cost cuts, quality teams risk losing relevance. This note helps quality leaders balance quality with other business needs via pilots that safely test the boundaries of flexibility while building trust and agility. I ...

Analyst(s):   Mónica Pellerano   |   Lauren Maiya
Research Aug 2026
... Access Insights Already a Gartner client? Software engineering leaders must govern AI coding agent token spend across platform, harness and operating layers to control budget drift and establish cost accountability. Insights at a Glance Impact Actions Cautions How to Execute Success Measures Gartner ...

Analyst(s):   C.A. Swan   |   Kurt Christensen
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