Section
All published posts.
The paradox of modern speed We live in the paradox of technical abundance: in the age of Artificial Intelligence, we generate code in minutes, but organizations still struggle to convert that volume into real value.
There is an efficiency gulf between biological architecture and silicon. While a 12-year-old child already masters human language, models like GPT-3 require far more data.
Engineering leaders and developers are constantly searching for more productivity. The pressure to deliver faster is relentless, but the path to that speed is rarely clear.
If you are starting to venture into AI Engineering and want to go beyond the basics, you need to deeply understand what **Retrieval-Augmented Generation (RAG)** is.
You know when you are trying to solve a complex problem with AI and it feels like a single model cannot handle the job? Multi-agent systems help, but only in the right cases.
Exactly one year ago, a commit with the message "Golanged" marked the beginning of a new phase in my career as a developer. It...
In software development, prompt engineering is becoming a crucial discipline. Extracting accurate, useful responses from Large Language Models is now a competitive advantage.
Go 1.25 was officially released in August 2025, bringing a series of significant improvements for developers. This new version maintains Go's tradition of compatibility ...
Maps in Go have always been one of the language's most widely used and optimized data structures. With the release of Go 1.24, they...
**Go 1.24** introduced a new package called `weak`, bringing support for **weak pointers**. These pointers make it possible to reference...