Databricks Toolkit for Coding Agents provided by Field Engineering

AI-Driven Development (vibe coding) on Databricks just got a whole lot better. The AI Dev Kit gives your AI coding assistant (Claude Code, Cursor, Windsurf, etc.) the trusted sources it needs to build faster and smarter on Databricks.

• Spark Declarative Pipelines (streaming tables, CDC, SCD Type 2, Auto Loader)
• Databricks Jobs (scheduled workflows, multi-task DAGs)
• AI/BI Dashboards (visualizations, KPIs, analytics)
• Unity Catalog (tables, volumes, governance)
• Genie Spaces (natural language data exploration)
• Knowledge Assistants (RAG-based document Q&A)
• MLflow Experiments (evaluation, scoring, traces)
• Model Serving (deploy ML models and AI agents to endpoints)
• Databricks Apps (full-stack web applications)
• ...and more

• uv - Python package manager
• Databricks CLI - Command line interface for Databricks
• AI coding environment
  • Claude Code
  • Cursor

By default this will install at a project level rather than a user level. This is often a good fit, but requires you to run your client from the exact directory that was used for the install.
Note: Project configuration files can be re-used in other projects. You find these configs under .claude or .cursor

Basic installation (uses DEFAULT profile, project scope)

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh)

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh) --global --force

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh) --profile DEFAULT --force

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh) --tools cursor

Next steps: Respond to interactive prompts and follow the on-screen instructions.

• Note: Cursor and Copilot require updating settings manually after install.

Basic installation (uses DEFAULT profile, project scope)

irm https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.ps1 | iex

irm https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.ps1 -OutFile install.ps1

.\install.ps1 -Global -Force

.\install.ps1 -Profile DEFAULT -Force

.\install.ps1 -Tools cursor

Next steps: Respond to interactive prompts and follow the on-screen instructions.

• Note: Cursor and Copilot require updating settings manually after install.

Full-stack web application with chat UI for Databricks development:

cd ai-dev-kit/databricks-builder-app
./scripts/setup.sh
# Follow instructions to start the app

Use databricks-tools-core directly in your Python projects:

from databricks_tools_core.sql import execute_sql

results = execute_sql("SELECT * FROM my_catalog.schema.table LIMIT 10")

Works with LangChain, OpenAI Agents SDK, or any Python framework. See databricks-tools-core/ for details.

(c) 2026 Databricks, Inc. All rights reserved.

The source in this project is provided subject to the Databricks License. See LICENSE.md for details.