... Gartner client? AI agents present new challenges due to nondeterministic and autonomous behavior requiring an update to the traditional SDLC. Software engineering leaders can overcome the challenges by establishing an opinionated ADLC to streamline the processes and practices in building and delivering AI agents ...
Analyst(s): Manjunath Bhat | Gary Olliffe | Tigran Egiazarov | Adrian Leow
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... Gartner client? AI coding assistants and agents have become essential development tools, but costs are rapidly escalating and eroding ROI. Software engineering leaders should measure four categories of metrics to effectively manage cost drivers of their AI coding tool investments. Insights at a Glance Strategic ...
... strengthen its AI evaluation and observability portfolio for integrating responsible AI practices in the agent development life cycle. Software engineering leaders and I&O leaders should view this development as a signal to proactively address their AI quality and trust needs now. Overview Strategic ...
Analyst(s): Manjunath Bhat | Wilco van Ginkel | Padraig Byrne | Neil Young | Alex Coqueiro
... from experimentation to production fails because standard tools and consulting lack the embedded access enterprise complexity demands. Software engineering leaders must harness FDEs to build outcome-driven capabilities their teams can own, operate, and extend independently. Insights at a Glance Strategic ...
... Gartner client? The increasing AI-augmentation of low-code platforms is driving a need for change in the way they are operated and managed. Software engineering leaders should focus on seven key building blocks that are needed for scalable, repeatable, and controlled success. Insights at a Glance Impact ...
... protocol of 2026, with software vendors rushing to provide SaaS-hosted MCP servers for consumption by AI agents and agentic applications. Software engineering leaders must implement MCP gateways to manage the risks. Overview Strategic Planning Assumptions Introduction Description Benefits and Uses Risks ...
... Access Insights Already a Gartner client? AI coding agents are evolving faster than many organizations’ ability to adopt them. Software engineering teams will miss out on tool innovations if they do not enable teams to regularly experiment with these tools and share their learnings across the organization ...
Analyst(s): Aliyah Camacho | Fatima Ahmed | Annie Hodgkins
... governance and evaluation foundations face fragmented infrastructure, governance gaps, and AI spend that compound without accountability. Software engineering leaders who selected Foundry must commit to the platform and build those foundations before scaling. Insights at a Glance Strategic Planning Assumption ...
Analyst(s): Kyle Davis | Manjunath Bhat | Alex Coqueiro
... high-quality developer experience is key to delivering AI-driven productivity gains and ROI in the software development life cycle (SDLC). Software engineering leaders should focus on three key developer experience improvements necessary for AI-native teams to succeed. Insights at a Glance Impact Actions ...