Vibe Coding focused 148th DevClub.lv

Hi!

AI-driven development is changing how we build software — from rapid AI-generated prototypes to navigating the strange space between human logic and machine logic.
At our next meetup, we’ll explore the promise and pitfalls of vibe coding, the evolving philosophy of AI-assisted engineering, and the security challenges hidden inside modern LLM workflows.

You are welcome to "Vibe coding" focused event on Thursday, November 20, 18:30, at Emergn Latvija office, Skanstes iela 25, Rīga. Elemental Business Centre building “Green”.

Agenda for "Vibe Coding" focused 148th DevClub.lv

Muntis Rudzītis from Emergn will give a talk “Vibe Coding for Production: AI-First Development with Agentic Platforms”

This session explores the concept of vibe coding - an AI-first development approach and how/if its fit for enterprise software development. Muntis will share practical insights from Emergn’s AI Lab on how AI tools can rapidly generate prototypes and MVPs, the challenges of scaling these solutions for production, and the methodologies that help bridge the gap between speed and reliability. The talk will cover some new methodologies developing in this area for prompting, documentation, and collaboration with AI agents, and how/where its different from more traditional software development cycles.

(Language – English)

Tags: AI-first development, Agentic platforms, Vibe coding, MVP, Product Design

Muntis Rudzītis is a Lead Data Scientist / ML & AI Developer @ Emergn AI Lab.
He specializes in machine learning (ML) and artificial intelligence (AI), applying advanced techniques and tools to deliver fast, scalable solutions that drive real business outcomes. With extensive experience in R&D and experimentation, he designs end-to-end systems that embed ML/AI capabilities into both new and existing products.

Alberts Bušinskis will give a talk titled “Fun session on good vibes: when logic meets chaos”

What happens when strict programming logic meets the unpredictable logic of humans - with large language models somewhere in between?

We’ll take a playful look at the philosophy of modern development and try to build a few ships in a bottle along the way.

(Language – English)

Tags: AI, LLMs, Logic, Creativity, Experiments

Alberts is a developer and creative tinkerer who loves building playful tech projects. He has led dev teams, joined plenty of hackathons, and now explores how human logic and AI randomness can create surprisingly good vibes.

Aleksandrs Zavalnijs from GoCardless, offers a critical look at the complex security landscape of Large Language Models.

This technical talk dissects common LLM vulnerabilities, including prompt jailbreaking, prompt injection, and hidden character exploits, using real-world examples. By showcasing how these powerful tools can be manipulated, the session examines the fundamental pros and cons of LLMs and highlights the need for robust security in modern development workflows

(Language – English)

Tags: LLM, AI, Security, Jailbreak, Prompt Injection

Aleksandrs is a Senior Backend Developer at GoCardless, specializing in high-reliability payment systems. Utilizing AI tools daily to enhance development processes, his personal interest centers on the rigorous evaluation of LLM capabilities. With a strong focus on security and scalable architecture, Aleksandrs is dedicated to understanding the technical pros and cons of artificial intelligence to drive better software development practices.

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