Coalesce.io

Your team is experimenting with AI. But ask the same question twice and you get two answers, the best prompts live in one person's DMs, and nobody has agreed which workflows are safe to run in production. Our free three-part Demo Dive Series shows how to fix that with reproducible skills, scoped permissions, and governed playbooks. For data engineers, analytics engineers, and data and governance leads. Oct. 20, Oct. 29, and Nov. 10.

Learn how to use agents and MCPs to automate daily data engineering workflows. Trace a broken table back to the commit that caused it. Turn a blank SKILL.md into a weekly data quality report in Slack. Then put it on a schedule. That's the Agentic Data Engineering Demo Dive Series: three live sessions of real demos with the Coalesce MCPs, run in an MCP client like Claude Code. Register today to attend the whole series, plus get access to the recordings and practitioner's guide.

Everyone's prompting. Few teams have AI workflows that produce the same answer twice. In this free three-part Demo Dive Series, @Mikkel Dengsøe shows how data teams go from ad hoc prompts to reusable skills to production playbooks with the Coalesce MCPs. The answer isn't less AI. It's structure. Live Oct. 20, Oct. 29, and Nov. 10 at 10 a.m. CET. One registration covers all three sessions, plus the recordings.

Prompts → skills → playbooks. That's how data teams move AI from experiments to production. Join our free Agentic Data Engineering Demo Dive Series and walk each step with Coalesce MCPs on live data: → Part 1: Impact analysis and root cause debugging with prompts → Part 2: Build your first data engineering skill → Part 3: Production playbooks and built-in agents Oct. 20 to Nov. 10, 10 a.m. CET. Register once for all three.

Three live sessions. One registration. Your AI workflows, production-ready. The Agentic Data Engineering Demo Dive Series covers prompts, skills, and playbooks with built-in agents, using the Coalesce MCPs on live data. You don't need to be a Coalesce customer to apply what you learn. Oct. 20 to Nov. 10, 10 a.m. CET. Can't make one live? You'll get the recordings.

The new Coalesce local agentic data engineering experience is now GA! 🎉 About nine months ago, the team started a top-to-bottom rethink of Coalesce with a simple question: how do we build the best agentic SQL editing experience while keeping the core product values our customers love? Well… we've been busy! Today we're announcing new tools that feel familiar (and are fully compatible with your existing Coalesce Projects!), but are built for teams using Claude Code, Cursor, and Cortex Code (CoCo) to build SQL pipelines on Snowflake, Databricks, and BigQuery: - Local editing in the coa CLI—runs off your local files and gives the agent immediate feedback as it makes changes 🚀 - Coalesce Desktop (Mac, Windows, and Linux)—a visual review app that helps you see and understand the AI's changes in real time 🤩 - Native .sql file support—for teams who prefer a SQL-native approach 🔥 - Coalesce MCPs and platform skills 😎 Thank you to our customers for their early feedback, and huge shout out to everyone at Coalesce that made this happen! 🙌 https://lnkd.in/gSjiCPt9