AI, DATA & ARCHITECTURE
Beyond the Simple Prompt: What Is an Agentic Workflow and Why It Revolutionizes Working with LLMs
A single prompt hits a ceiling when facing complex business logic. Discover how Agentic Workflows, the ReAct pattern, and self-correction loops revolutionize LLM architectures, turning static text generation into an iterative engineering process.
Object-Oriented Programming in Python: Classes, Inheritance, and the Hidden Power of Dunder Methods
Discover the nuances of OOP in Python. Learn why the lack of access modifiers is a feature, how MRO works under the hood, how to leverage dunder methods, and when to use modern @dataclass.
RAM vs. SSD: Why do you need both a desk and a filing cabinet?
Why does a computer have two types of memory? We explain the difference between RAM and an SSD using a simple analogy of a desk and a filing cabinet. Learn the basics of hardware.
How does a CPU work? Meet the fastest chef in the world
Want to understand how a CPU works without wading through quantum physics and silicon? Meet the chef analogy that explains the Fetch-Decode-Execute cycle in a simple way.
Virtual Environments and Dependency Management in Python: From venv to Poetry
Learn how to professionally manage dependencies and environments in Python. We compare the classic venv and pip duo with modern Poetry, showing how to ensure reproducible builds in a team.
How to Write ChatGPT Prompts That Actually Work: Meet the R-C-K-F Framework
Is ChatGPT too generic, wordy, or just plain wrong? The problem isn't the AI—it's how you talk to it. Discover the simple R-C-K-F framework that will transform your prompting and help you squeeze the absolute maximum out of large language models.