"At launch, Copado is making available Agentia AI agents specifically that can be assigned plan, build and testing tasks via an orchestration agent that manages the overall workflow. Each Agentia AI agent understands the unique metadata framework that Salesforce developed but also all the dependencies, pipelines and testing activity occurring across the software development lifecycle (SDLC) that is captured via the Agentia Context Hub."
"Additionally, there is an Agentia Studio tool that can be used to build AI workflows and other autonomous agents. Copado CEO Ted Elliot said the Agentia AI agents have been trained using metadata, pipelines, and customer-provided knowledge to automate, for example, planning and documentation tasks or the actual writing for code."
"DevOps teams can also apply policy-based controls based on roles and approval gates. Those teams can also generate a complete audit trail for any agentic workflow that is executed. Finally, Copado plans to soon provide additional observability agents to provide deeper levels of visibility across the SDLC."
"The overall goal is to increase the speed at which applications can be developed in a way that also serves to improve quality, said Elliot. While application development tools can use any number of AI coding tools, if they lack any context about the runtime environment the quality of that code is always going to be suboptimal, he added."
Copado has added AI agents to its DevOps platform to build and deploy custom applications for Salesforce’s SaaS environment. Agentia AI agents can be assigned planning, build, and testing tasks, coordinated by an orchestration agent that manages end-to-end workflows. The agents understand Salesforce’s metadata framework and the dependencies, pipelines, and testing activities captured in the Agentia Context Hub. Agentia Studio enables building AI workflows and autonomous agents. The platform supports policy-based controls using roles and approval gates and can generate a complete audit trail for executed agentic workflows. Copado also plans observability agents for deeper SDLC visibility, aiming to increase development speed while improving code quality through runtime context and human augmentation.
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