Open-source agentic data engineering harness.
Give any AI agent 100+ deterministic tools for SQL, lineage, dbt, FinOps, and warehouse connectivity. Deliver benchmark-leading results for agentic data workflows.
#1 on the leading agentic data benchmarks
100+ purpose-built, deterministic tools for data agents — SQL analysis, column-level lineage, dbt, FinOps, and warehouse connectivity.
Why not just use Claude Code?
Claude Code is a great general coder. It has no data-specific tools.
| Task | Claude Code | altimate code |
|---|---|---|
| Writing Python/JS code | Yes | No |
| SQL anti-pattern detection | No | Yes |
| Column-level lineage | No | Yes |
| Cost prediction | No | Yes |
| FinOps analysis | No | Yes |
| Schema inspection | No | Yes |
| dbt model scaffolding | Partially | Yes (better) |
| Cross-dialect translation | No | Yes |
| PII detection | No | Yes |
| General code review | Yes | Supplement with data checks |
| File editing | Yes | Yes (in builder mode) |
Up and running in 5 minutes
Install
Connect your LLM
Or set an environment variable and skip the prompt:
Connect your warehouse
If you have a profiles.yml — either in your home directory's .dbt/ folder, in your project repo, or pointed to by DBT_PROFILES_DIR:
Works with your data stack
Bring your own LLM
Why altimate-code
Everything your AI agent needs to work with data — built in.
Bring Your Own LLM
Works with Anthropic, OpenAI, Google, AWS Bedrock, Azure, Ollama, and 10+ more providers. No vendor lock-in.
Cross-Platform
Claude Code, Cursor, Windsurf, VS Code, and any MCP-compatible client. One install, everywhere.
100+ Deterministic Tools
SQL analysis, column-level lineage, dbt integration, FinOps, warehouse connectivity — no hallucinations.
Column-Level Lineage
Trace data flow across your entire warehouse — from source to mart, column by column.
FinOps & Cost Optimization
Identify expensive queries, get optimization recommendations, and track warehouse spend.
Data Governance
Built-in governance checks, policy enforcement, and compliance validation across your data stack.
What can you do
Type / in the TUI to see all available skills.
| I want to… | Skill | Example |
|---|---|---|
| Optimize a slow query | /query-optimize | /query-optimize SELECT * FROM big_table |
| Review SQL before merging | /sql-review | /sql-review models/staging/stg_orders.sql |
| Check Snowflake costs | /cost-report | /cost-report (last 30 days) |
| Scan for PII exposure | /pii-audit | /pii-audit (full schema) or /pii-audit models/marts/ |
| Debug a dbt error | /dbt-troubleshoot | Paste the error message |
| Add tests to a model | /dbt-test | /dbt-test models/staging/stg_orders.sql |
| Document a model | /dbt-docs | /dbt-docs models/marts/fct_revenue.sql |
| Analyze downstream impact | /dbt-analyze | /dbt-analyze stg_orders (before refactoring) |
| Create a new dbt model | /dbt-develop | Create a staging model for the raw_orders source |
| Translate SQL dialects | /sql-translate | /sql-translate snowflake bigquery SELECT DATEADD(...) |
| Check migration safety | /schema-migration | /schema-migration migrations/V003__alter_orders.sql |
| Teach a pattern | /teach | /teach @models/staging/stg_orders.sql |
Pro tip:You don't need to memorize these. Just describe what you want in plain English — the agent routes to the right skill automatically.
See it in action
Real-world pipelines built end-to-end with a single prompt





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