DinoAI is Paradime's intelligent assistant that accelerates analytics engineering workflows through warehouse-aware AI capabilities.
DinoAI is Paradime's AI platform — a suite of agents and tools that help data teams move faster, write better code, and keep their pipelines healthy. Rather than a single feature, DinoAI is a set of surfaces you can use depending on where and how you work.
Copilot
AI assistant inside the Paradime IDE
Interactive development, writing and reviewing dbt™ code
MCP Server
Expose Paradime context to any MCP-compatible AI client
Using DinoAI from external tools like Claude or Cursor
Slack Agent
AI agent that runs in the background and posts to Slack
Async monitoring, alerts, and team-wide visibility
Programmable Agents
YAML-defined agents triggered via the Paradime API
Automated, version-controlled, composable AI workflows
Bolt AutoPilot
AI agent embedded in Bolt pipeline runs
Summarising logs, fixing errors, and self-healing pipelines
Before diving into a specific surface, it helps to understand a few concepts that apply across DinoAI.
.dinorules is a file you commit to your repo that defines rules and constraints for DinoAI agents. Use it to enforce coding standards, naming conventions, or any project-specific guidance that should apply across all agent interactions.
.dinoprompts lets you define reusable prompt templates, stored in your repo alongside your dbt™ project. Reference them in agent runs to keep prompts consistent and version-controlled.
DinoAI agents are context-aware. Depending on the surface, they can read your dbt™ project files, query your data warehouse, access run logs, and more. Each surface page documents what context is available.
Working in the IDE? → Copilot
Using an external AI client? → MCP Server
Want async updates in Slack? → Slack Agent
Building automated pipelines? → Programmable Agents
Dealing with failing Bolt Pipelines? → Bolt Pipeline Agent
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