Mage Pro release announcement

June 17, 2026

Multiplayer editing, AI-assisted troubleshooting, flexible pipeline creation, stronger admin controls, and more reliable data integrations.

  • Mage Pro
Watercolor-style Mage Pro June Releases hero illustration

Mage Pro’s June release focuses on the way teams build and operate production data workflows together. Pipeline editing is now multiplayer, Fix with AI is easier to reach from failed runs and logs, and admins get deeper visibility through Trace Audit.

This release also restores Data and Agents dashboards, improves pipeline creation, strengthens Secrets management, and expands integration coverage across the systems teams use every day.

The result is a workspace that is easier to collaborate in, faster to troubleshoot, and more transparent when production work changes.

Highlights since the last ProLog

A prospect-friendly view of the biggest product changes from the current release index.

  • Multiplayer pipeline editing

    Real-time presence and block-level locking help prevent lost work and editing collisions in shared pipelines.

  • Fix with AI everywhere

    AI-powered fix actions now appear across failed runs, logs, and pipeline blocks to speed up troubleshooting.

  • Enhanced integrations

    Salesforce Marketing Cloud, Google Business Profile, Google Ads, Microsoft Ads, and BigQuery all receive meaningful source and sample-data upgrades.

  • Trace Audit dashboard

    Admins get workspace API event auditing with search, filtering, export, and detail views.

  • Navigation and creation flow

    Data and Agents dashboards return, Settings layout improves, and pipeline creation gets a clearer modal flow.

  • Process reliability

    Trigger DB safety, EKS slot stability, Kubernetes executor CPU usage, and BigQuery destination reliability all improve.

New capabilities

  • Collaborative pipeline editing

    Teams can see who is viewing or editing a pipeline, rely on block-level locks, and catch conflict dialogs before a save overwrites teammate work.

    Read docs

  • Fix with AI accelerators

    Failed runs, recent errors, logs, and live block errors can seed the AI assistant with context so teams can move from failure to next step faster.

    Read docs

  • Trace Audit dashboard

    Admins can search, filter, export, and review API event history with details about security origins and workspace changes.

    Read docs

  • Data and Agents dashboards

    Restored product dashboards and navigation entries give teams more visibility into sources, agents, and product context.

    Read docs

  • Secret management upgrades

    Doppler-backed interpolation, live TTL cache, clearer diagnostics, and refined Secret panel behavior make credentials easier to operate.

    Read docs

  • Flexible pipeline creation

    The New Pipeline flow now supports clearer paths for creating from scratch, templates, or uploads, with richer template browsing.

    Read docs

Other notes

  • Pipeline loading is safer when block metadata is incomplete.

  • BigQuery destination queries now respect API-level timeout controls to avoid stuck runs.

  • Kubernetes executor CPU usage is reduced for prolonged workloads.

  • Google sign-in avoids default role leakage for newly created users.

  • Trigger schedule lookups are DB-safe and handle transaction rollbacks automatically.

  • Python 3.11 and 3.12, pandas 2.x, and dbt 1.10.x compatibility are improved.

View release notes on GitHub