SEE ALTIMATE CODE IN ACTION.
Real workflows. Real codebases. No staged demos. Watch how data teams use Altimate Code to debug pipelines, write tests, mask PII, review PRs, and migrate workloads — with transcripts and summaries for every video.
Before You Rename That dbt Column, Check the Blast Radius
Renaming total_cents to gross_revenue_cents sounded like a one-line change. Blast radius analysis revealed it touched models, metrics, YAML docs, and dashboards.
Watch →
Migrate SQL Server to Snowflake with dbt and Altimate Code
Stored procedure logic in, validated dbt models out — with row count checks, schema diffs, and a migration dashboard stakeholders can actually trust.
Watch →
How an AI Agent Adds Airflow DAGs That Actually Match Your Project
One prompt added a new DAG to an existing Airflow + DuckDB project. It read the codebase, matched the patterns, and ran clean on the first try.
Watch →
Snowflake AI Services Cost Breakdown: Finally Understand Where Your Cortex Spend Goes
Your AI Services bill shows one number. This breaks it down by service type, model, user, and team — so you can answer when the CFO asks why costs spiked 40%.
Watch →
5 Hidden Snowflake Cost Leaks Only AI Can Find
Five cost savings opportunities Snowflake's native tools won't surface — and how they added up to 32% off the bill.
Watch →
Can an AI Agent Peer Review dbt SQL Before It Hits Production?
One prompt drives the full peer review. Seven mart models come out graded, fixed, and re-validated without a senior engineer in the loop.
Watch →
This Airflow Pipeline Was Broken. Here's How an AI Agent Helped Me Fix It.
One AI session traced, diagnosed, and fixed a failing e-commerce ETL pipeline with 5 broken dbt models.
Watch →
I Used an AI Agent to Review This dbt PR: Here's What It Found
The code looked reasonable. Column-level lineage revealed 4 breaking downstream changes before merge.
Watch →
New Data Project, Zero Context: Can AI Get Me Productive Fast?
A PM needs data in 20 minutes. You have no context on the project. Can an AI agent get you there?
Watch →
Getting Productive on a New Data Team with an AI Agent
Starting from a new codebase with zero familiarity, one prompt added a fifth Airflow DAG that matched the team's patterns perfectly.
Watch →
Masking PII with an AI Agent
Most teams don't know where their PII lives. An AI agent found it, masked it, and validated everything, all for $3.
Watch →
Building dbt Docs with an AI Agent
The project had 50% model coverage and 20% column coverage. The AI rewrote all of it in 17 minutes for $1.
Watch →
Building dbt Tests with an AI Agent
The project went from 24 tests to 53 in one session. The agent wrote 30 new tests, ran them, and confirmed all passing, for $1.51 total.
Watch →