Xata 🦋
@xata
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Postgres at scale — with copy-on-write branching, data masking, separated storage & compute , 100% Postgres and your own cloud
🌏 Earth
Joined November 2020
📣 We have a brand new Postgres platform with: Instant Copy-on-Write branching Built-in data anonymization Separation of storage and compute 100% vanilla Postgres It’s for staging/dev environments as well as for production workloads. Details in 🧵
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You wouldn’t let Claude Code touch prod. But some GitHub issues need real data to debug. We solve that by teaching Claude an Agent Skill to: • gh read the GitHub issue • xata spin up an isolated copy-on-write Postgres branch (wait-ready, checkout) • psql query the branch URL
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Giving agents access to realistic data via branches should scale the feature development without increasing costs. This shows how you can use the “scale to zero” feature of the Xata platform to improve feature development while keeping costs in check.
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Postgres constraints are the rules that keep your data clean. Types tell you what can be stored but constraints enforce what must be true. If a row violates a rule, Postgres rejects it. No silent corruption. A few well-chosen constraints prevent entire classes of bugs.
xata.io
In this blog, we explore Postgres constraints through the pg_constraint catalog, covering table vs. column constraints, constraint triggers, domains and more.
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Gülçin Yıldırım Jelínek: What you should know about constraints in PostgreSQL
xata.io
In this blog, we explore Postgres constraints through the pg_constraint catalog, covering table vs. column constraints, constraint triggers, domains and more.
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AI agents are “clever” to use available tools like grep, sed to find the relevant code files based on a prompt. Here we experiment with giving AI agent tools to change environment variables in a repository that it checked out and it worked.
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We explored giving AI agents access to compute (via Sandbox) and database via Xata branches and some “commandments” to follow a developer-like workflow.
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Can an AI Agent follow the same workflow that human developers can? We explored giving AI agent access to the database branch, a compute sandbox to execute code and instructions to follow a developer workflow (in plain English) and the experiment was a success.
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We hit a painful limitation in Keycloak Organizations: invites were 🔍 invisible. So @SferaDev fixed it upstream. After 6 months, many reviews and collaboration with Keycloak maintainers it’s merged 🎉 How & why we did it 👇 https://t.co/moUX4OisQt
xata.io
Many discussions with the Keycloak maintainers and a lot of code reviews later, our biggest contribution to Keycloak to date has been merged
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Xata engineer @RichardMGill shares a practical setup to: * See agent-written changes instantly * Reload git diffs in real time * Yank code with file locations so Claude gets proper context Read the full post ↓ 📝 Tips for configuring Neovim for Claude Code
xata.io
How to setup Neovim to see Claude Code's changes instantly and paste code with file locations back into Claude Code
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Esther Minano: pgstream v0.9.0: Better schema replication, snapshots and cloud support
xata.io
Bringing connection retries, anonymizer features, memory improvements and solid community input.
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🚀 pgstream v0.9.0 is out! Better schema replication, improved snapshot visibility, cloud support, PostgreSQL Anonymizer integration, reconnection retries, memory improvements… and great community contributions 💜 Read the full post ↓ 🔗
xata.io
Bringing connection retries, anonymizer features, memory improvements and solid community input.
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A week in Rome with the Xata crew 🇮🇹 Less meetings, more real talk, better ideas. We turned a Roman villa into HQ: pasta by night, plans by day. Rome gave us time to connect, think, and play, then ship faster. What makes an offsite great? Team chemistry > calendar invites. ✨
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