Vast Teams transcripts and Tuesday bluesHello, this is Yamanaka. Last Tuesday at 3:00 PM, I was staring at about 15,000 characters of automated Teams transcript text on my screen, letting out a deep ...
TL;DR: Using a refund workflow in ADK, we'll cover fan-out and fan-in, deterministic and agent routers, human-in-the-loop ...
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Don't Break Your Python Logs: A Minimal Design for Traceable Failures with JSON Structured Logging
You know that "an error occurred," but you don't know whose action, which request, or where it failed. Many people hit this wall when they start running APIs or batch jobs in Python. Adding print() ...
You spent three hours debugging a broken ETL script, your data is sitting in five different places in five different formats, and the stakeholder meeting is tomorrow morning. If you've ever stared at ...
This research is part of a joint initiative between the Cloud Security Alliance (CSA) and OWASP AI Exchange, building upon the previously published Agentic AI Red Teaming Guide. The objective of this ...
Python has a super rich ecosystem of libraries for handling data at scale. As datasets grow into the gigabytes and beyond, standard tools like pandas hit their limits fast. When you're processing ...
Three malicious versions of Microsoft's official durabletask Python SDK were published to PyPI on May 19, 2026. The compromised package silently downloads and executes a 28 KB payload that steals ...
Data engineering has never been more demanding. Pipelines are expected to be faster, more reliable, and easier to maintain — all while the volume and variety of data keeps growing. Most data engineers ...
SlothDB is a from-scratch C++20 embedded SQL database in active development. Same model as DuckDB and SQLite: query Parquet, CSV, JSON, Arrow, Avro, SQLite, and Excel files directly with SQL, ...
In this tutorial, we build a comprehensive, hands-on understanding of DuckDB-Python by working through its features directly in code on Colab. We start with the fundamentals of connection management ...
DuckDB is a high-performance, easy-to-integrate solution that fills the gap between lightweight embedded databases and full-scale data warehouses. It is easy to install and set up, flexible, and works ...
The Model Context Protocol (MCP) is an open standard for connecting AI agents to external systems. Connecting agents to tools and data traditionally requires a custom integration for each pairing, ...
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