Maxim Danilov

Building a privacy-first AI agent that runs entirely on our machine. No cloud, no data leaks, no GPUs (🤥 ). In this talk we can see, how to assemble a full local text/voice AI agent in Python—and discover what still blocks offline AI from going mainstream.

An overcomplicated project increases development and maintenance time. If a complete redesign is not possible, we can try to distribute the complexity across the existing codebase. The AI assistants cannot help us with this task yet, and we should discuss manual methods and tools that can help us.

The new version of Django has several important features that allow us to avoid installing additional modules. Libraries like DRF, yasg, spectacular have always been recommended for REST API development. Now the rules have changed.

Can you imagine a python project without any return? Is it overhead or memory saving? Is it complicated or would it reduce complexity? Is it testable or a horror for unittesting?

Documenting Python project endpoints is a real challenge in API development. Poor readability, versioning, and lack of authentication information - this all reduce the usability of existing OpenAPI documentation.

A standard Django project involves working with multiple files and folders from the start. Let's see how the work with a Django project changes when we have only one file.

Raw Django doesn't take the first places when comparing the performance of Python web frameworks. However, it can be pretty fast if we identify the bottlenecks and find ways to avoid them. Comparing performance and implementation complexity before and after gives us an understanding of which...

An overcomplicated project increases development and maintenance time. If a complete redesign is not possible, we can distribute the complexity across the existing codebase. If AI assistants cannot help us with this task yet, we should discuss manual methods and tools that can be useful. Using...

A standard Django project involves working with multiple files and folders from the start. Let's see how the work with a Django project changes when we have only one file. This solution automatically transforms Django into a microservice-oriented async framework with "batteries included” philosophy.

Many developers avoid using generators in regular python code. For example, many well-known python libraries use lists instead of generators. The generators themselves are slower than normal list loops, but their use in code greatly increases the speed of the application. Let's discover why.