Notes from the studio.

// FEATURED · 26 JUN 2025

Filament icons package released

Search and install any icon packs to your Laravel projects and generate icon enum classes for your filament panels with ease.

Read the note→

· 21 JUN 2025

What's new in Livewire v4

In this article we will explore the new features from the upcoming Livewire v4 version.

→

· 15 JUN 2025

Model Context Protocol: The Future of the Internet?

Explore how the new Model Context Protocol (MCP) connects AI directly to real data, promising a more reliable, interactive internet. Learn what MCP is, why it matters, and see practical steps for adding MCP support to a Laravel project.

· 11 JUN 2025

Guava at Innovating Pilsen 2025

Guava participated in the Innovate Pilsen festival, which took place on 6 and 7 June 2025 in TechTower. We presented our innovative projects and made valuable contacts.

→

· 26 MAY 2025

Looking back at Catapulso 2025

We were approached as mentors at Catapulso and we also supported the competition with a special Guava prize of 5,000 CZK for innovative projects.

· 21 MAY 2025

Support policy responses in filament actions

A short tutorial on how to use Laravel's policy responses in your Filament actions

→

· 19 MAY 2025

Open-source: why and how to contribute, not just use

Open-source is not just about "free" software. It's the ecosystem behind most of today's digital solutions - whether you know it or not. In this article, we'll look at why open-source is essential to modern development, how safe it is to use, why it's important to understand licensing, and how actively contributing can help not only the community, but your business.

· 27 APR 2025

What's Behind One Button: Why Vibe Coding Isn't for Everyone

Learn about the complexity behind a simple "Follow" button and why a deep understanding of programming is essential for effective and secure digital solutions.

→

· 25 APR 2025

ChatGPT 4.1 : Efficient analysis of large volumes of text

A few days ago, we faced a challenge: summarizing and categorizing thousands of websites. Initially, we deployed GPT-4, but the costs were rising fast. However, the new OpenAI 4.1-nano and 4.1-mini models have helped us a lot.