The AI revolution is in full swing... everyone understands that. But how can AI be used effectively? What does it actually offer right now? I will explain why Temabit is moving towards building AI-assisted SDLC, rather than “buy an AI license and AI will build everything,” as we see the interaction between humans, AI agents, and various AI tools. I will show the development of AI-assisted SDLC using the example of GitHub Spec Kit, which we are actively implementing in various projects. Why are we talking about a 10-20-30-40% development boost? Is this realistic? The main thing is that what we see today is definitely not the end point, everything is moving fast... The IT we have known for the last 20 years is already dead, but what is coming instead? Let's talk about this using the example of Temabit. See you at the conference!

In his presentation, Vadym will cover: - Goals of the strategy process - Forecasting and goal setting (Foresight, Top-Down + Bottom-Up) - Lean A3: structuring problems and metrics - Strategy implementation and cascading goals - Tracking results (time cycles, OKRs, monitoring, adaptation) - Practical A3 examples

Vsevolod will share how he managed to build a profitable B2B SaaS without investments, which is used by top scientific publishers and grant agencies. What decisions were correct and helped to build everything in conditions of limited resources? What decisions were wrong? He will also talk about how to best organize teamwork in such conditions and what microservices have to do with it.

In the age of AI, anyone can generate code — even your team lead or the baker next door. But who ensures its quality? This talk will show why TDD is more relevant than ever, how to tell a good test from a bad one, make AI write proper code from the start, and why discipline and architectural thinking save both your nerves and your projects.

This talk will show how to boost developer productivity with AI tools in Cursor — from automated code reading and writing to building custom AI teammates and end-to-end feature pipelines.

I’ll show practical approaches, common pitfalls, and ready-to-use templates with concise PHP snippets that let you run dozens of parallel features in one cluster, cut costs, and speed up CI.

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 demons 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'.