We’re excited to introduce Rust support (Beta).

This marks an important step forward as we expand our capabilities to help developers explore, understand, and improve complex codebases—now including Rust.

Imagine a day in the not-so-distant future: every article, blog post, social media update, and news snippet is written by a bot, published by a bot, and read primarily by other bots for indexing, recommendation, and further training. Humans, once at the center of the digital conversation, have quietly receded into the background.

Software development is undergoing a profound shift. What once required hours of manual effort—from writing boilerplate code to debugging complex systems—can now be accelerated or even automated with AI.

This transformation is not just about speed; it’s about a fundamental change in how developers work. The focus is moving from writing every line of code to guiding, validating, and orchestrating intelligent systems.

This post isn’t about the usual “how to prompt AI” advice.
It’s about lesser-known habits that can seriously upgrade the quality of code you get from LLMs.

Do you know which C++ line of code worth million of dollars?

It was this magic C++ line : i = 0x5f3759df – ( i >> 1 );

This line was introduced first in the code of Quake to optimize the calculation of the inverse square root.

In the early days of C++, memory safety issues — buffer overflows, dangling pointers, use-after-free — were widely known but not viewed as urgent flaws needing language-level fixes. Why?

TypeScript was developed to address several key challenges faced by developers working with JavaScript, particularly in large-scale applications. Indeed, TypeScript is a superset of JavaScript that introduces optional static typing and other features to enhance the development experience, particularly for large-scale applications. Its history reflects the growing need for better tooling and structure in JavaScript development.

C++ containers are essential for managing collections of data with different requirements for organization, access, and modification. They allow developers to manage groups of objects efficiently, without implementing data structures from scratch.