Code Review for Vibe Coders
Product managers and marketers are now submitting code with AI. Here's how to write PRs that engineers actually want to review, approve, and merge.
By Richard Gill
The Rural Reset: Club Xata France 2026
This spring, the Xata team gathered in the idyllic French countryside, where time slows down and nature provides the backdrop for conversation to flow. The setting left room for things to happen on their own, without the need to schedule too tightly. Here's how the week unfolded.
By Natalia Woroniec
What if database branching was easy?
We usually think branching means copying the whole database. With copy-on-write, it doesn't. Let's compare workflows like seeding to DB branching.
By Divyendu Singh
Xata is now open source
Xata is an open-source Postgres platform for agent scale. Instantly create isolated databases with copy-on-write branching at low cost.
By Monica Sarbu
Introducing Xata OSS: Postgres platform with branching, now Apache 2.0
Xata core is now available as open source under the Apache 2 license. It adds copy-on-write branching, scale-to-zero compute to Postgres.
By Tudor Golubenco
The missing layer in LLM knowledge bases
Karpathy's LLM knowledge base handles text. Add a Postgres database alongside your wiki so your LLM can query metrics and connect numbers to context.
By Claudiu Dascalescu
Every AI agent needs a database it can break
AI agents need two infrastructure layers: real-time streaming for fresh data and database branching for sandboxes. How to build both with Postgres.
By Claudiu Dascalescu
We skipped the OLAP stack and built our data warehouse in vanilla Postgres
Skip the OLAP stack. See how we built a product analytics warehouse on vanilla Postgres with materialized views, pg_cron, and copy-on-write branches.
By Noémi Ványi
My git-worktree setup using worktrunk and caddy
Deep in a feature but need to fix a quick bug? See how I use git-worktree, Worktrunk, and a dynamic Caddyfile to seamlessly switch contexts and environments.
By Divyendu Singh
The 5 Best Data Anonymization Tools for Development Teams in 2026
The 5 best data anonymization tools for development teams in 2026, compared by Git/CI integration, referential integrity, and speed, so you can ship with production-realistic data without risking compliance.
By Graham Thompson
Data Pseudonymization Explained: When Anonymization Isn't Enough
Learn the difference between anonymization and pseudonymization under GDPR, and when reversible data protection is essential for analytics and fraud detection.
By Graham Thompson
Skim-review is the new normal. Your data workflow has to catch up
As AI accelerates code generation, teams shift from line-by-line review to guardrails and QA. Discover why production-like, anonymized data and isolated database branches are now critical for safe, fast shipping.
By Claudiu Dascalescu
Give every agent its own Postgres branch.
Run tens of thousands of databases at a fraction of the usual cost.