Automation that actually understands your homelab.

Anthropic accidentally exposed over half a million lines of its Claude Code, triggering a rapid global effort to copy and ...

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Popular vibe coding platforms consistently generate insecure code in response to common programming prompts, including creating vulnerabilities rated as ‘critical,’ new testing has found. Security ...

We describe an algorithm based on several novel concepts for synthesizing a desired program in this language from input-output examples. The synthesis algorithm is very efficient taking fraction of a ...

Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...