... Access Insights Already a Gartner client? Software engineering leaders adopting Claude Code need governance that matches its output velocity. Implement a governance architecture with two enforcement layers operating at three checkpoints, using seven behavioral invariants as the definition of done for ...
Analyst(s): C.A. Swan
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... prepared for the pending bot thrashing that enterprise AI agents will soon unleash. To prevent outages, downtime, and poor user experiences, software engineering leaders must support their teams with compelling performance testing tools. Overview Market Definition Market Description Market Direction Market ...
Analyst(s): Jim Scheibmeir | Thomas Murphy | Joachim Herschmann
... Access Insights Already a Gartner client? Software engineering leaders are under pressure to deliver value faster while meeting the quality requirements of their users and the business. Organizations must future-proof development by leveraging an AI-augmented software testing platform that goes beyond ...
... mesh practitioners emphasize that federating data management requires careful domain selection, collaborative governance and the integration of engineering expertise within domain teams. D&A leaders who blend product thinking, DataOps practices and data fabric foundation can deliver scalable business ...
Analyst(s): Michele Launi | Michael Simone | Robert Thanaraj
... Developers and AI agents expect seamless API integration, yet poorly designed APIs are inconvenient for developers but crippling to AI agents. Software engineering leaders must promote teams’ use of API design tools to maximize API value and to enable agent-driven applications. Insights at a Glance Strategic ...
... Access Insights Already a Gartner client? Software engineering leaders must proactively manage technical debt within Low-Code Application Platforms (LCAP) to prevent costly rework and maintain system reliability. This research shows how to implement evidence-based timelines, targeted training, and adaptive ...
... Access Insights Already a Gartner client? To avoid escalating costs and dependency complexity when testing AI applications, software engineering leaders must implement AI-assisted service virtualization to cut costs and accelerate testing by replacing live, metered, brittle dependencies with scalable ...
... Access Insights Already a Gartner client? As AI powers software engineering, tiny teams speed code delivery by a factor of ten. Product management must intensify the focus on customer needs, product market fit and revenue generation to ensure the new productivity is matched by real results. Insights ...
... Well-defined test environments are a prerequisite to delivering high-quality software using agile and DevOps practices. Application technical professionals should use this research to establish production-like environments to reduce development friction and create rapid feedback loops. Overview Proble ...
Analyst(s): Bill Holz | Aaron Harrison | Sushant Singhal