Introducing Tinybird Code: The AI ClickHouse® expert for your projects. Learn more.Learn more
Why you should never trust your inference layer to enforce security policies and always enforce row-level access control (RLAC) for LLM database access.
1Don't Trust the Prompt: Use RLAC to secure LLM database access
Or, rather, how we built Tinybird Code, a command line agent inspired by Claude Code, but optimized for complex real-time data engineering problems with ClickHouse.
1How we built our own Claude Code
1Why LLMs struggle with analytics
1How to build an analytics agent with Agno and Tinybird: Step-by-step
1Chat with your data using the Birdwatcher Slack App
1Building an autonomous analytics agent with Agno and Tinybird
1MCP vs APIs: When to Use Which for AI Agent Development
Subscribe to our newsletter
Get 10 links weekly to the Data and AI articles the Tinybird team is reading.
1Using LLMs to generate user-defined real-time data visualizations
1Build natural language filters for real-time analytics dashboards
1Hype v. Reality: 5 AI features that actually work in production
1Instrument your LLM calls to analyze AI costs and usage
1Hey Claude, help me analyze Bluesky data.
1Real-Time Anomaly Detection: Use Cases and Code Examples

Skip the infra work. Deploy your first ClickHouse
project now.

Read the docs
Tinybird wordmark