Agentic data engineering means that AI is embedded throughout the development experience—not bolted on. Ascend offers data engineers an agentic approach to building and deploying their data pipelines, where intelligent agents actively assist with development, optimization, and operations.
Ascend provides intelligent support through four types of agents:
In-line code suggestions – Real-time help as you write, with smart completions and error detection.
Agentic chat – An interactive assistant you can direct with natural language to build pipeline components, troubleshoot errors, and optimize performance.
Background agents – Continuously monitor your environment and take action like auto-generating documentation or resolving pipeline errors.
Custom agents – A lightweight framework lets you define your own agents to automate tasks based on your specific needs.
Yes. While other platforms offer narrow, isolated AI features, Ascend delivers a fully integrated, context-aware agentic system. Our agents understand your pipelines, metadata, schema changes, and system state — so they don’t just assist with isolated tasks. They support the entire data engineering lifecycle with relevance and precision. Whether you’re writing code, debugging an error, or automating deployment steps, Ascend’s agents respond in the context of your actual workflows and infrastructure.
Yes. You have control over which agents are active, what they monitor, and how they respond. For custom agents, you define the logic, triggers, and actions. Nothing runs without your explicit configuration.
Ascend’s AI agents operate within the same secure boundaries as the rest of the platform. All agent actions respect role-based access controls (RBAC), data permissions, and deployment isolation. No AI-driven process can access or act on data outside of what the user is authorized to see or manage.
Only if you allow it. Ascend’s AI agents primarily use metadata—not your raw datasets. You can, however, allow agents to access your data itself, which enables them to perform increasingly complex actions such as designing tests based on the profile of your data.
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