February 2026#

This page highlights major Developer Guide updates from February 2026. For product release notes, see our documentation. Only key additions are shown; bug fixes and minor changes are not included.

Adding visual dependencies to your Code Agent settings#

You can add visual dependencies to your Code Agent to show interactions in the Flow.

Adding visual dependencies to your Code Agent settings

Manipulating Artifact Fields with Govern Custom Actions#

This tutorial teaches you how to use Govern Custom Actions to read and write values from artifact fields, including performing calculations and updating fields dynamically. You’ll learn to configure custom fields, create and link custom actions, and implement Python scripts to automate field manipulation within Govern projects. By the end, you’ll understand how to build interactive, data-driven custom actions for your governance workflows.

Manipulating Artifact Fields with Govern Custom Actions

Using a code assistant in Code Studios: GitHub Copilot#

This tutorial walks you through integrating GitHub Copilot into a Dataiku Code Studio. Readers will learn how to set up a Code Studio, install the Copilot extension, and start using AI-assisted coding within their environment.

Using a code assistant in Code Studios: GitHub Copilot

Accessing and understanding logs for WebApps#

This tutorial guides readers through accessing and understanding logs in Dataiku Web Applications. By following the steps, you’ll learn to create a web app, locate and interpret various log types, and explore log history to troubleshoot and monitor your applications effectively.

Accessing and understanding logs for WebApps

Aligning an LLM#

This tutorial explains advanced techniques for aligning large language models (LLMs) in Dataiku, covering Reinforcement Learning from Human Feedback (RLHF), Reinforcement Learning from AI Feedback (RLAIF), and Reinforcement Learning with Verifiable Rewards (RLVR). Readers will learn to implement each alignment method with practical code examples, leverage Dataiku’s tooling for data collection and orchestration, and understand when to use each approach to achieve optimal model performance.

Advanced model alignment: RLHF, RLAIF, and RLVR in Dataiku