SYSTEM_ONLINE

AGENT
BRICKS

The autonomous engineering workforce for your Data Lakehouse. We replace brittle ETL scripts with intelligent, self-healing agent swarms.

View Architecture
Intent
Plan
Build
Deploy

Evolution of Engineering

Traditional data engineering scales linearly with headcount. Agent Bricks scales exponentially with compute.

Manual Engineering

  • ✕Brittle pipelines that break on schema changes
  • ✕Days to deploy simple aggregation tables
  • ✕Documentation is always out of date
  • ✕On-call fatigue from constant debugging

Agent Bricks

  • ✓Self-Healing: Agents fix syntax errors automatically
  • ✓Instant: Text-to-Pipeline in seconds
  • ✓Governed: Always respects Unity Catalog ACLs
  • ✓Standardized: Perfect code style, every time

Meet the Bricks

Modular, intelligent components that the Orchestrator assembles to solve problems.

SQL Brick

Writes optimized ANSI SQL for Delta Lake. Understands window functions and CTEs.

Python Brick

Handles complex logic, API calls, and Pandas/PySpark transformations.

Semantic Brick

Translates business jargon ('Churn', 'ARR') into technical field definitions.

Guard Brick

Validates PII compliance and ensures row-level security policies.

agent_bricks_cli
➜ ~ agent run "Ingest the CSVs from the landing zone and create a gold table for daily revenue"
Analyzing intent...
[ORCHESTRATOR]
1. Found path: s3://bucket/landing/*.csv
2. Detected schema: [date, product_id, amount, region]
3. Generating PySpark Autoloader script...
[BUILDER]
Validating code against Unity Catalog rules... Passed
[EXECUTOR]
Job 48291 submitted to Serverless Compute.
✔ Pipeline created successfully in 14.2s