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Join senior risk and payments leaders in Seattle to explore how AI is reshaping fraud strategy. Seats are limited.
The PostgreSQL Conference Poland - PGConf.PL 2026 - Call for Papers is now officially open! We invite PostgreSQL practitioners, developers, DBAs, contributors, companies, students, and community members to submit talks for the inaugural edition of PostgreSQL Conference Poland. We are looking for presentations covering PostgreSQL operations, performance, scaling, extensions, application development, migrations, real-world case studies, benchmarking, cloud deployments, open source tooling, and com
The PostgreSQL Global Development Group announces that the first beta release of PostgreSQL 19 is now available for download. This release contains PostgreSQL 19 feature previews ahead of general availability, though some details of the release can change during the beta period. You can find information about all of the PostgreSQL 19 features and changes in the release notes: https://www.postgresql.org/docs/19/release-19.html In the spirit of the open source PostgreSQL community, we strongly enc
You can now create a start building a production-ready storefront in minutes.Shopify store directly from Vercel and to automatically configure your Shopify credentials in Vercel. Create a free test store, build with and deploy without leaving your workflow. When you're ready to launch, you can claim the store and take ownership of it.Install the Shopify integrationv0 Coming soon: Connect an existing Shopify store to Vercel. Get started by installing , , or to start building your next .Shopi
Article URL: https://maxleiter.com/blog/weights Comments URL: https://news.ycombinator.com/item?id=48391611 Points: 1383 # Comments: 615
Picture this: you write a requirement. Clear, specific. The agent reads it, does exactly what you wrote — and breaks three things you never mentioned. Not because the agent is bad at its job. Because the spec was written for a human reader, not a machine. Human developers tolerate ambiguity. They fill gaps from experience. They ask before doing something irreversible. AI agents don't work that way — they fill gaps with whatever their training data suggests. Sometimes that's fine. Sometimes it de
Power it on, and it's supposed to be ready to go on its own, no operator steps. Then one day, after a couple of restarts, it just... wasn't. Here's the clever safety workaround that quietly caused it. I had to build one testing tool that could behave as two opposite safety systems, but only ever connected to one at a time, with both behaviours crammed into a single safety system, sharing the same connection ID, over FSoE. The textbook move would've been two separate, validated configs with only
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