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docs: update README with v0.4.x features — data-viz, tracing, training, 99+ tools
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README.md

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**The data engineering agent for dbt, SQL, and cloud warehouses.**
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An AI-powered CLI with 55+ specialized tools — SQL analysis, schema inspection,
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column-level lineage, FinOps, and PII detection. Connects to your warehouse,
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An AI-powered CLI with 99+ specialized tools — SQL analysis, schema inspection,
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column-level lineage, FinOps, PII detection, and data visualization. Connects to your warehouse,
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understands your data, and helps you ship faster.
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[![npm](https://img.shields.io/npm/v/@altimateai/altimate-code)](https://www.npmjs.com/package/@altimateai/altimate-code)
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General-purpose coding agents can write SQL, but they don't *understand* it. They can't trace lineage, detect anti-patterns, check PII exposure, or optimize warehouse costs — because they don't have the tools.
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altimate is a fork of [OpenCode](https://github.com/anomalyco/opencode) rebuilt for data teams. It gives any LLM access to 55+ specialized data engineering tools, 11 purpose-built skills, and direct warehouse connectivity — so the AI works with your actual schemas, not guesses.
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altimate is a fork of [OpenCode](https://github.com/anomalyco/opencode) rebuilt for data teams. It gives any LLM access to 99+ specialized data engineering tools, 12 purpose-built skills, and direct warehouse connectivity — so the AI works with your actual schemas, not guesses.
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## General agents vs altimate
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| FinOps analysis | None | Credit analysis, expensive queries, warehouse sizing |
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| PII detection | None | Automatic column scanning |
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| dbt integration | Basic file editing | Manifest parsing, test generation, model scaffolding |
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| Data visualization | None | Auto-generated charts from SQL results |
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| Observability | None | Local-first tracing of AI sessions and tool calls |
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## Quick demo
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Automatic column scanning for PII across 15 categories with 30+ regex patterns. Safety checks and policy enforcement before query execution.
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### dbt Native
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Manifest parsing, test generation, model scaffolding, incremental model detection, and lineage-aware refactoring. 11 purpose-built skills including medallion patterns, yaml config generation, and dbt docs.
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Manifest parsing, test generation, model scaffolding, incremental model detection, and lineage-aware refactoring. 12 purpose-built skills including medallion patterns, yaml config generation, and dbt docs.
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### Data Visualization
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Interactive charts and dashboards from SQL results. The data-viz skill generates publication-ready visualizations with automatic chart type selection based on your data.
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### Local-First Tracing
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Built-in observability for AI interactions — trace tool calls, token usage, and session activity locally. No external services required. View traces with `altimate trace`.
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### AI Teammate Training
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Teach your AI teammate project-specific patterns, naming conventions, and best practices. The training system learns from examples and applies rules automatically across sessions.
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## Install
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The CLI handles AI interactions, TUI, and tool orchestration. The Python engine handles SQL parsing, analysis, lineage computation, and warehouse interactions via a JSON-RPC bridge.
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**Zero-dependency bootstrap**: On first run the CLI downloads [`uv`](https://github.com/astral-sh/uv), creates an isolated Python environment, and installs the engine automatically. No system Python required.
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**Zero-dependency bootstrap**: On first run the CLI downloads [`uv`](https://github.com/astral-sh/uv), creates an isolated Python environment, and installs the engine with all warehouse drivers automatically. No system Python required.
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### Monorepo structure
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