Articles and guides from practicing developers. Learn new things, find solutions and implement your ideas.
Are you choosing your first programming language in the era of artificial intelligence? We analyze the prospects of Python, Go and Rust: where each of them will be in demand, what tasks they solve and why all three languages will remain relevant. Practical tips for beginner developers on how to start their programming journey.
We'll figure out which containerization technology is suitable for small teams: simple and understandable Docker or powerful but complex Kubernetes. Practical tips for beginner developers on when Docker Compose is enough and when you really need container orchestration.
Learn about 12 non-obvious reasons for slow API performance that even experienced developers miss. DNS queries, serialization, logging, connection pools, and other hidden bottlenecks that steal seconds of response time. Practical tips for optimizing the performance of web applications.
A practical guide to integrating artificial intelligence into existing applications. Learn how to add AI functions via the API, create a service wrapper, and configure caching and error handling without changing the project architecture. Step-by-step code examples in PHP and JavaScript for beginner developers.
We are trying to understand what is happening with the microservice architecture in 2025. Why companies are returning to monoliths when microservices are really needed, and what architectural approaches are relevant for modern development.
We'll figure out how to run a language model on your computer, what hardware you'll need, and when it really makes sense. A practical guide with code examples for beginner developers.
A detailed guide on how to transition from a Junior to a Middle developer: technical skills, soft skills, working with databases, API, testing, Git and DevOps. Find out what really distinguishes a Middle from a Junior in modern development.
A detailed comparison of popular language models for developers. We analyze the features of GPT, LLaMA, Mistral, and DeepSeek, their advantages, disadvantages, and areas of application. Practical advice on choosing an AI tool for your projects, taking into account the budget, technical requirements, and specifics of the tasks.
A complete guide to regular expressions for developers. Learn syntax, practical examples of validation, parsing and text replacement, advanced techniques, and regex performance optimization.
A complete guide to working with JSON: from basic operations to advanced serialization techniques. Learn how to efficiently process data in Python, JavaScript, and other languages, optimize performance, ensure security, and work with large amounts of information.
We analyze the with operator, enter and exit methods, create our own context managers and study practical examples of using them to work safely with resources.
In this article, we will tell you how to use generators and iterators in Python to work effectively with large amounts of data. Practical examples of file processing, APIs, and data pipelines. Learn how to write code that scales to any amount of information without overflowing memory.
