Ideas for building
better software.

AI Search - Filter your AutoRAG search by file name

In AutoRAG, you can now filter by an object's file name using the filename attribute, giving you more control over which files are searched for a given query. This is useful when your application has already determined which files should be searched. For example, you might query a PostgreSQL database to get a list of files a user has access to based on their permissions, and then use that list to limit what AutoRAG retrieves. For example, your search query may look like: const response = await

DNS - Account-level DNS analytics now available via GraphQL Analytics API

Authoritative DNS analytics are now available on the account level via the Cloudflare GraphQL Analytics API. This allows users to query DNS analytics across multiple zones in their account, by using the accounts filter. Here is an example to retrieve the most recent DNS queries across all zones in your account that resulted in an NXDOMAIN response over a given time frame. Please replace a30f822fcd7c401984bf85d8f2a5111c with your actual account ID. query GetLatestNXDOMAINResponses { viewer {

D1, Workers, Workers for Platforms - Automate Worker deployments with a simplified SDK and more reliable Terraform provider

Simplified Worker Deployments with our SDKs We've simplified the programmatic deployment of Workers via our Cloudflare SDKs. This update abstracts away the low-level complexities of the multipart/form-data upload process, allowing you to focus on your code while we handle the deployment mechanics. This new interface is available in: cloudflare-typescript (4.4.1) cloudflare-python (4.3.1) For complete examples, see our guide on programmatic Worker deployments. The Old way: Manual API calls Previo

(LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware

Optimizing Postgres for Global Apps

Learn why the Postgres wire protocol struggles in serverless and multi-region apps, and what patterns can improve performance for globally deployed systems.

Preparing for future AI risks in biology

Advanced AI can transform biology and medicine—but also raises biosecurity risks. We’re proactively assessing capabilities and implementing safeguards to prevent misuse.

Toward understanding and preventing misalignment generalization

We study how training on incorrect responses can cause broader misalignment in language models and identify an internal feature driving this behavior—one that can be reversed with minimal fine-tuning.

Introducing Roast: Structured AI workflows made easy