Explores API versioning strategies, their importance for backward compatibility, and their impact on development and release management.
A technical overview of the architecture and cloud hosting choices for the Election 2029 website, built with ASP.NET Core and Google Cloud Run.
Analysis of Wyvern's open hyperspectral satellite imagery data feed, including setup and tools for processing the GeoTIFFs.
A technical tutorial on using Apache Flink SQL to explore and process real-time flood monitoring data from a government API, demonstrating data wrangling techniques.
Exploring how C++-style contracts (pre/postconditions) could be adapted for the C programming language, including syntax and semantics.
A tutorial on displaying toast notifications for React Server Actions using the useActionState Hook and useEffect.
System.Linq.Async is now part of .NET 10, bringing LINQ extension methods to IAsyncEnumerable for asynchronous data processing.
A penetration tester demonstrates AI security risks by having an AI generate stealthy malicious code for a proof-of-concept backdoor.
A comprehensive cheat sheet covering the basics of Regular Expressions (RegEx), including syntax, quantifiers, character classes, and practical examples.
Announces 9 new free and paid books added to the Big Book of R collection, covering data science, visualization, and package development.
Estimates Kubernetes audit log volume at ~1GB/day for a minimal 2-node cluster using basic metadata-level logging.
Salam app's privacy policy detailing its no personal data collection stance and use of third-party services for prayer times and Quran audio.
A support guide for the Salam app, covering setup, prayer times, Qibla finder, Quran reading, and troubleshooting.
A technical comparison of data.table and dplyr for data cleaning operations in the R programming language.
Explains how to set COOP and COEP headers on static hosting (e.g., GitHub Pages) using a service worker to achieve cross-origin isolation.
Explains a critical Azure Policy limitation where databases created via SSMS on SQL Managed Instance bypass policy enforcement, posing security risks.
Explores inference-time compute scaling methods to enhance the reasoning capabilities of large language models (LLMs) for complex problem-solving.
Explores recent research on improving LLM reasoning through inference-time compute scaling methods, comparing various techniques and their impact.
A detailed proof walkthrough of the De Moivre–Laplace theorem, the earliest version of the central limit theorem for the binomial distribution.
A framework for evaluating work based on Expertise, Purpose, Fun, and Difficulty, with examples from Kubernetes security.
