I’ll share my experience in writing automated tests that help avoid surprises in production and explain how we integrate them with the testing system. At the same time, we’ll discuss whether documentation is really necessary if the tests already “speak” for the system.

Let’s talk about long-running processes in PHP: is there life with API daemons in production, what best practices exist and why they’re not always the best, and what exactly to focus on when developing and running them.

Half a year of trial and error with AI across different tasks and technologies: we’ll go through current tools, approaches, and recommendations. What works and what doesn’t. From the wow-effect in demos to wasted days on 'vibecoding'.

Expect field-tested patterns, pitfalls to avoid, and ready-to-reuse templates that keep 200+ services running in production without losing your mind.

During the discussion, we will dive into the world of PHP, discuss its capabilities, best practices and current trends with experts.

In this talk, I'll share my experience as a testing consultant and why testing is the responsibility of the whole team. We'll cover test architecture, including E2E, functional, unit tests, and manual testing. Special attention will be given to popular PHP testing tools such as PHPUnit, Codeception, Pest and Behat, as well as non-PHP testing tools such as Cypress, Playwright, CodeceptJS and Webdriver Bidi.

Talk on data types and how PHP works with them at the core level with use cases for more efficient utilization.

The story of how we refused third-party DevOps services and took over all services ourselves. In the process, we made a complete revision of the infrastructure, added new monitoring and profiling tools on production. Action algorithms were built based on tools: Graylog, Grafana, influxDB, Pyroscope, Prometheus. As a result, the utilization of resources decreased by two times, and responses to key APIs were accelerated. During the talk, I'll cover what problems we found, how exactly we improved the metrics, and how we got to swoole.

In this topic, we will go through the step by step guide how to build an AI application using PHP and large language models. We will understand how your bot can respond like ChatGPT and manage your private data without training or extensive expertise in Data Science. We will also review existing libraries and how these approaches can be utilized in your applications.

In my presentation, I will discuss all the advantages and disadvantages of using Github Copilot for PHP development. Additionally, I will compare it with existing competitors and explain why they are better or worse than the Microsoft product. I will also address security issues and provide recommendations for companies on how to prevent their code from being exposed to the public. Throughout the presentation, I will gather arguments to answer the question: is Copilot an NPC or the main character?