🥇 Won 1st place at the Agentic Postgres Challenge with TigerData! 🚀 Built a Multi-Agent Code Review System using zero-copy DB forks to run agents in parallel—fast, clean & isolated. Thanks @TigerDatabase @TimescaleDB @ThePracticalDev #AgenticPostgres #PostgreSQL #AI #Hackathon

Challenge: How to run multiple AI agents without conflicts? My solution: @TimescaleDB's zero-copy forks = instant isolation 4 agents, 4 forks, 10 seconds ⚡ Full breakdown in my @ThePracticalDev post: bit.ly/43AFmgt #AgenticPostgres #DEVChallenge Try it! 🚀

Announcing Tiger’s new Free Tier for Postgres 🚀 For years, we’ve powered some of the world’s most demanding Postgres workloads: multi-terabyte databases running industrial, SaaS, fintech, and devtool applications. But the world is changing. AI has made building experimental, agentic applications the new normal. So we turned our attention from scaling up to scaling down -- designing an architecture that’s efficient at full load, yet just as efficient at idleness. Technical deep dive post coming soon. This innovation now powers our new free tier for Postgres: lightweight, isolated, built for experimentation, and ready for growth. It's live today. Go explore, and let your agents cook. #Postgres #AI #Databases #AgenticPostgres @TigerDatabase @TimescaleDB

Today's a big day. We’re announcing Agentic Postgres, and kicking off two weeks of launches around it. 🚀 This one's special for me -- a big step toward what we think the future of data infrastructure looks like in the age of AI. Agentic Postgres is the first database built for agents. ▪️ Fluid Storage, a forkable storage layer, that lets every agent spin up its own database in seconds. And then iterate or branch instantly with fast, zero-copy snapshots. ▪️ A new Postgres MCP server that can reason and plan. Your expert DBA that helps you design, tune, and optimize production-ready apps. ▪️ Native search and retrieval built directly into the database. Hybrid keyword and vector search for applications and memory, built for real-time use. ▪️Plus a CLI and free tier, so anyone (human or agent) can spin up and start experimenting immediately. Some of these systems like Fluid Storage have been 18 months in the making. Others are smaller but no less important. Together, they redefine what it means to build with Postgres in an agentic world. For the first time, agents can build, test, and evolve applications on their own. Safely, instantly, and inside Postgres. It's a shift in computing: from databases for developers to databases for agents and developers together. I couldn't be prouder of this team. Try it now in Tiger Cloud. And let your agents cook. #AgenticPostgres #AI #Postgres #Databases #Developers #LaunchWeek @TigerDatabase @TimescaleDB

LLMs are becoming new users of the database. But unlike human users, it’s not enough to ask “did the query run?” We need ways to evaluate how well they interact with our data. Over the past few months, our team built an internal library to better understand text-to-SQL performance: where models succeed, where they fail, and what kinds of errors matter. We found it so useful that we’ve decided to open source this Evals library: 👉 github.com/timescale/text-to… A few things this library does: ▪️Runs evals against real PostgreSQL schemas and data (not just toy datasets). ▪️Surfaces why a query failed—schema retrieval vs. reasoning vs. SQL execution. ▪️Provides optional LLM-as-a-Judge checks to catch cases where queries are semantically correct but look different. ▪️Persists and visualizes results over time (backed by TimescaleDB). If you’re experimenting with text-to-SQL -- whether for internal tools, agents, or LLM apps -- we hope this is helpful. Contributions welcome, and full blog post below. #AgenticPostgres #TextToSQL #LLMevals