How to debug a failing data pipeline with AI — DataHub demo | DataHub

A table is failing an assertion. You need to know why, what changed, and how to fix it — without opening five different tools and reconstructing the context yourself. This demo shows what that entire debugging workflow looks like when Ask DataHub can do it in a single conversation. In this demo from the DataHub February 2026 Town Hall, Co-Founder John Joyce starts with a simple question: is this table healthy? DataHub reports that it's partially healthy — a row count assertion is failing. The table expects between zero and thirty rows, and it's returning more than that. The failure just started, which means something recently changed. From there, the debugging workflow unfolds entirely through conversation. John asks Ask DataHub whether something recently changed in the code and whether the dbt model built successfully. DataHub searches across GitHub and dbt, surfaces a specific PR merged on January 27th that added a new column to the table, and identifies that the change introduced a join fanout bug. It summarizes the problem, explains what went wrong, and confirms that the dbt model did build successfully — meaning this was a logic bug, not a pipeline failure. The job ran. The output was just wrong. Then John goes one step further: he asks Ask DataHub to raise a PR to revert the change and fix the bug. Using the GitHub integration, DataHub creates the PR automatically, without the user leaving the conversation or switching tools. The full workflow — assertion failure, root cause identification, code change attribution, fix — happens in a single chat interface, with DataHub traversing GitHub, dbt, and its own metadata graph to connect the dots. This is what unified context across your data stack makes possible: not just finding information faster, but completing entire workflows that previously required navigating multiple siloed tools. 🧠 What is context management? https://datahub.com/blog/context-management/ ➖ FIND MORE ABOUT DATAHUB 🚀 Join the DataHub open source community ▶︎ https://hubs.la/Q03YmhK20 🔍 Take the DataHub interactive product tour ▶︎ https://hubs.la/Q03Ymjqp0 ➡️ Explore DataHub's blog ▶︎ https://hubs.la/Q03YmjLN0 ➖ LinkedIn: https://www.linkedin.com/company/datahub-cloud/ X: https://x.com/DataHubCloud #DataHub #AskDataHub #DataDebugging #DataObservability #dbt #GitHub #AIAgents #ContextManagement #DataEngineering #MCP #JoinFanout #TableAssertion