Singapore – Dataiku has introduced Dataiku Headless, a capability that lets developers build, migrate and investigate Dataiku projects from coding agents such as Claude Code, Codex, and Cursor.
The data and AI platform vendor unveiled the product at its annual Succeed conference.
Headless links coding agents to Dataiku Cobuild, the company’s natural-language agentic interface. According to Dataiku, it serves as the control surface an agent uses to inspect and operate the platform, calling on Cobuild whenever a task requires creating or changing a project.
The launch targets a gap that Dataiku says has emerged as coding agents speed up development. The company argues that the bottleneck is no longer how fast work gets built, but how few people can see it once it is finished.
Under this approach, developers keep working in their preferred coding agent while creating and modifying data pipelines, models, dashboards and agents as Dataiku projects. Dataiku says the aim is to widen visibility of what gets built, rather than to ask fewer people to build.
Dataiku outlines three uses for the tool. First, developers can ask a coding agent to find relevant Dataiku context and delegate the building work to Cobuild, which then creates visual flows, datasets, transformations, models, custom agents and other assets that teams can inspect.
Second, Headless supports the migration of legacy workflows. A coding agent can analyse work built outside Dataiku, such as an Excel workbook or an Alteryx workflow, and instruct Cobuild to rebuild it as a governed, visual Dataiku project.
Dataiku says this turns a one-time code translation into a maintained pipeline. It adds that agents can repeat the process hundreds or thousands of times, which it claims would speed up large-scale modernisation projects and cut manual migration work.
Third, administrators can use a coding agent to investigate and support Dataiku environments. They can, for example, ask it to find jobs failing across multiple projects, after which Headless can help diagnose the issues and remediate them by changing project or administrative settings.
Dataiku framed the launch around existing developer habits, as its senior leadership explained.
“Developers aren’t going to stop working in Claude Code or Codex, and we don’t think they should have to,” said Jed Dougherty, SVP of AI & Platform of Dataiku. “What they need is a way to turn that speed into something the rest of the business can actually see, review, and run in production. That’s what Dataiku Headless does — it meets technical teams in the tools they already trust, and hands back a Dataiku project instead of a script only they can read.”
