8 stories
The memory built into a coding agent lives inside that vendor's tools. What I tell one agent stays with that agent, and the next one I open in the same project starts from nothing.
Connect your agent to real data with Postgres MCP: choose a server, configure credentials, register tools, and verify queries before adding write access.
How Clera benchmarked Supabase, Neon, PlanetScale and ClickHouse Managed Postgres on its real workload, then migrated 500+ tables from the EU to the US in one night. CPU went from days pinned at 100% to 10 to 20%.
A customer clicks Place Order. The spinner turns… and turns… then: Request timed out. So they click again. Now you have two orders, two charges, and one angry support ticket. Here's the uncomfortable truth: a timeout tells you nothing about whether the server did the work.
Article URL: https://www.paradedb.com/blog/opening-a-closed-tin Comments URL: https://news.ycombinator.com/item?id=49924275 Points: 31 # Comments: 6
Disclosure: I build Schemity, a desktop ERD tool - this post is from our blog and uses it for the examples. TL;DR: For schema work an AI agent needs the structure, not the rows, so give it a database MCP server that exposes the schema and no SQL tool.
AWS recently announced that Aurora DSQL now supports foreign key constraints, allowing applications to enforce referential integrity directly in the database, including CASCADE, SET NULL, and other referential actions.
We used GitHits to explore the Postgres 19 release and surface what changed. Six features came back. A coding agent without GitHits could not reach any of them.
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