Engineering Insights

Best databases for agent memory: Redis vs. Pinecone vs. MongoDB vs. Weaviate

AI agents don't have one memory requirement. They have three: recalling what happened seconds ago, retrieving what they learned weeks ago, and tracking what they're doing right now. Most databases handle one of those patterns well, which is why so man...

You Don't Need a Vector Database, Postgres Already Has pgvector

pgvector turns Postgres into a vector store; Prisma Next makes it type-safe. Build working semantic search on a temporary Prisma Postgres database in minutes.

Workers AI - Plain text output for Markdown Conversion

The Markdown Conversion service now supports a new output conversion option that controls the format of the converted content. Set output.format to text to receive plain text with Markdown syntax removed. The default value is markdown, so existing conversions are unchanged. Use the env.AI binding: JavaScript await env.AI.toMarkdown( { name: "page.html", blob: new Blob([html]) }, { conversionOptions: { output: { format: "text" }, }, }, ); TypeScript a

Profiling in PyTorch (Part 3): Attention is all you profile

Data Loss Prevention - Source code detection improvements

Data Loss Prevention (DLP) source code detection now focuses on identifying whole source code file uploads and downloads. Previously, source code detection performed partial scans resulting in a higher rate of false positives. Since only whole source code files are evaluated, code embedded in other content — such as chat messages, documentation, or code samples — is no longer flagged as source code, removing a common source of false positives. Source code detection requires a minimum of 500 char

CI/CD Testing Pipelines Compared: A Real GitHub Actions Walkthrough

Why the CI/CD tool choice matters for testing Every CI/CD platform in this comparison — GitHub Actions, GitLab Pipelines, Jenkins, CircleCI, TeamCity, Travis CI, Bitbucket Pipelines, Tekton, Harness — solves the same basic problem: run the test suite automatically, on every change, before anything gets merged or deployed. What differs between them is where they run, how they're configured, and how much operational overhead they add on top of "running tests." This article walks through GitHub A

Introducing OAuth Support for AWS MCP Server

AWS MCP Server using the same credentials and sign-in methods that you already use for connecting to the AWS Management Console or AWS Command Line Interface (AWS CLI) through a familiar browser-based experience powered by industry-standard OAuth. This new sign-in path supports AWS Identity and Access Management (IAM) federation, AWS IAM Identity Center, and root […]

Data warehouse for startups: picking BigQuery or Snowflake

The best data warehouse for startups with a small data team For a small data team without a dedicated platform engineer, Google BigQuery is the easiest data warehouse for startups to start on. It's serverless, so there's no cluster to size, and on-demand pricing charges $6.25 per TiB of data scanned with the first 1 TiB free every month. Snowflake and Databricks both do more, but both ask you to manage warehouse sizing or Spark clusters before the bill gets predictable, and neither publishes a