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MCP is mind-blowing. Here is a genius setup that will earn you a promotion with your manager. I have multiple data sources: data in S3, MySQL, and local files. Using Spice (an open-source project), I can co-locate all of that data behind a single SQL endpoint and augment it

Come build Spice AI with us where we care about millis

Spice v1.2.0 has shipped! Major effort resulting in significant performance gains. ➡️ 33% Faster Queries: DataFusion v45 and Arrow v54 optimize Parquet file queries, with Delta Lake scans up to 20% quicker. ➡️ Parameterized Queries: Flight SQL and HTTP APIs now support $1 and

The only way is through

The secret to living is giving

Initial pipe operators merged in ApacheDataFusion sqlparser!

💯

If you're in Seattle and interested data, AI, and Apache Iceberg, join us tonight. I'll be demoing an AI agent working with Iceberg data

Spice v1.2.1 is out! Patch released focused on quality and performance. ➡️ Databricks Data & Catalog connectors M2M OAuth support ➡️ Apache Iceberg Data Connector append mode querying issue fixed ➡️Apache Iceberg Catalog API is now fully compatible with Iceberg HTTP REST for

Spice Open Source v1.2.2 is now available! ✨ New Databricks Moasic Model & Embedding Connectors ✨ Improved MCP support and control over data loads ✨ Fixes an issue with acceleration hot-reloads

lol Grok keeping it real for coffee in Seattle

Very sad 😕

With v1.3 Spice becomes the perfect complement to Databricks for the shift to querying operational data from cloud object storage for data applications and AI. New in v1.3.0 ⬇️ ✨ Expanded Databricks integration with SQL Statement Execution API support ✨ Improved query

Whelp, Devin is done. Sorry, but @GitHub UI is way better for interacting with coding agents than Slack/Chat.

Is true step-change beyond next token prediction essentially time travel?

Good design is a signal that you care. People prefer products built by people who care. Markets reward good design. The end