Next VIDEO

Next VIDEO

Demos

AI Agents Debug Data Pipelines Automatically | Bauplan Agent Demo with Claude

Live demo of Bauplan's agent-first lakehouse platform. Watch AI agents autonomously debug failing pipelines, fix code issues, and deploy changes using git-for-data branching—all without touching production. Features Python API, Apache Iceberg, MCP integration, and zero-copy data versioning.

Chapters

0:00 – Introduction & Problem Setup

‍1:38 – Agent Debugging with MCP Integration

‍3:25 – Diagnostic Analysis & Reports

‍4:43 – Automated Code Fixes & Git Branching

‍7:16 – Branch Review & Agent Workflows

Git for Data: How Agents Write to Production Without Breaking It

Who Has the Best Lakehouse Design? A Round Table Discussion.

Forgiveness, Not Permission: Running Agents On Production Data

Rethinking the Semantic Layer- Part II: The Builders Response

Quality Checks With Bauplan and Claude Code

Data Assessment With Bauplan and Claude Code

Fixing Data Pipelines with Bauplan and Claude Code

ML Ops at Reasonable Scale feat. Jacopo Tagliabue

The Post Modern Stack // Jacopo Tagliabue // MLOps Meetup #103

Jacopo Tagliabue on Recommender Systems

Building a Data Science Platform on Apache Iceberg and Nessie

How to Make Your Data Science Reproducible (and Why You Should Care)

Are your Data Pipelines Complex?

Unapologetically Technical Jacopo Tagliabue - Bauplan Ep.19

Miracle on Ice(berg): How we Moved Europe’s Largest Broadcaster to Python-on-Iceberg in Days

The Bucket Brigade: Why S3 is the Missing Piece in your AI Architecture - Jacopo Tagliabue

How Jacopo Tagliabue is Cutting Data Pipeline Latency with Fast Functions

Python Over Data Lakes: Declarative Environments, Data Management & Other Things w/ Feathers

OpenXData - Data as Software and the programmable lakehouse

Building Scalable Data Pipelines

Speedrunning the Lakehouse & AMA with Jacopo Tagliabue

Open Lakehouse + AI: From Functions to AI Agents: Reimagining the Lakehouse for an Agentic Future

Speedrunning the Lakehouse

Inside the Minds of Two CTOs: The Future Is Apache Iceberg | Fireside Chat by OLake

Getting started with Bauplan Labs

Safe, Untrusted, "Proof-Carrying" AI Agents: Toward the Agentic Lakehouse with Jacopo Tagliabue

Speedrunning the Lakehouse by Jacopo Tagliabue | DC Systems 011

An AI Agent Built My Entire Data Pipeline. Here's How I Kept It From Breaking Production

Agentic Data Lakehouses, Claudio and More w/ Bauplan

Bauplan Platform Primitives Demo: Python, Iceberg, and Git-for-Data

AI Agents Debug Data Pipelines Automatically | Bauplan Agent Demo with Claude

Bauplan Demo: Git-for-Data and AI Agents on Production Data | with Claude Code

Celebrating Python SDKs: Bauplan gets it!

Spending 10 Minutes with Bauplan - A Serverless Data Lakehouse!

Build Modern Python Data Pipelines with Prefect and Bauplan

Simplify Apache Iceberg Adoption with Python: A Bauplan + Orchestra Demo

From Claude to Pipelines: AI-Assisted Data Engineering

From Alerts to Agents: Rethinking Data Quality with Claude Code

Trusting AI with Your Data: Safe Automation from Branch to Production

Python Based Data Infra for AI Agents

Rethinking the Semantic Layer in an Agent-Native Data Stack

Ingest S3 Data Safely with Bauplan Skills for Claude Code

Generate a Data Pipeline from a Prompt with Bauplan Skills for Claude Code

Explore Production Data Safely with ClaudeCode and Bauplan