AI Master Podcast – Ondřej Chrastina: Building the Future of Content Editing with AI

In this episode of the AI Master Podcast, I’m joined by Ondřej Chrastina, Developer Advocate at CKEditor and an experienced Developer Relations leader with over 12 years of hands-on and leadership experience in building outstanding developer experience for complex platforms.

Ondřej shares his professional journey — from QA engineering and software development, through building internal tooling and SDKs, to establishing and leading Developer Relations programs at companies such as Kentico, Kontent.ai, Ataccama, and now CKEditor. We talk about how deep empathy for developer pain points shapes better products, tooling, and documentation.

A large part of our conversation focuses on CKEditor 5 — its modern, extensible architecture and the challenges of using rich-text editors in today’s web applications. We explore how generative AI and large language models can meaningfully enhance content editing, turning editors into intelligent assistants rather than passive tools.

Ondřej explains practical AI use cases such as content suggestions, summarization, auto-formatting, review workflows, and AI-assisted collaboration. We also go deep into the technical and product challenges of embedding AI into editors: latency, context management, hallucinations, prompt engineering, safety, and maintaining full user control — especially in enterprise environments where privacy, data governance, and GDPR compliance are critical.

We also discuss the future of rich-text editors in an AI-driven world, the role of open source and community contributions, multilingual challenges, and which AI advancements (embeddings, RAG, multimodal models) are most exciting for the next generation of editor experiences.

To wrap up, we switch to a more personal perspective — continuous learning, staying motivated as a software engineer, productivity, travel, and a few lesser-known facts about Ondřej.

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Key topics covered in this episode:

• Architecting AI-powered features in rich-text editors while preserving user control

• Integrating LLMs into editors: latency, context size, and hallucination challenges

• Prompt engineering patterns for editor-based AI workflows

• Privacy, GDPR, and data governance in enterprise-grade AI integrations

• The future of rich-text editors as intelligent, collaborative assistants

Links mentioned in the episode:

CKEditor AI

Meet your app’s new AI co-writer. Easily integrated, full-featured AI writing assistant for your application.

Discover CKEditor AI features that help you write, edit, and improve content faster — including AI Chat with chat history, AI Quick Actions, and AI Review.

👉 https://ckeditor.com/ckeditor-5/capabilities/ai-features/?utm_campaign=ckeditor_podcast_ai_master_podcast&utm_source=podcast_description&utm_medium=referral

CKEditor Docs

Master CKEditor 5 — customize it, build powerful plugins, and create your own editors. Ask AI to get started faster!

👉 https://ckeditor.com/docs/ckeditor5?utm_campaign=ckeditor_podcast_ai_master_podcast&utm_source=podcast_description&utm_medium=referral

CKEditor Builder

Pick your preset (AI-recommended), choose your features, generate your editor, and start hacking away!

👉 https://ckeditor.com/ckeditor-5/builder/?utm_campaign=ckeditor_podcast_ai_master_podcast&utm_source=podcast_description&utm_medium=referral

Guest: Ondřej Chrastina

Developer Advocate, CKEditor

🌐 Website: https://ondrej.chrastina.dev/

💼 LinkedIn: https://www.linkedin.com/in/ondrejchrastina/

💻 GitHub: https://github.com/Simply007

This episode is a must-listen for developers, DevRel professionals, and product teams interested in AI-powered content creation, developer tooling, and the future of web editors.

🎧 AI Master Podcast: Christian Stenzel on the Future of Open AI Hardware

In this episode of the AI Master Podcast, host Dariusz Kalbarczyk talks with Christian Stenzel, Director of Sales EMEA at Tenstorrent — one of the most innovative companies in the AI hardware space.

With experience at Intel, AMD, and now Tenstorrent, Christian shares his insights into how open and modular architectures are transforming the future of computing. Together, we explore what it really means to “own your silicon” and how openness is reshaping the AI hardware landscape.

Key topics covered in the episode:

• Tenstorrent’s mission – building open, modular, and scalable AI processors and RISC-V–based CPUs that power everything from edge devices to data centers.

• Tensix AI Processor – a deep dive into its dataflow architecture, massive parallelism, and chiplet-based scalability that redefine AI compute efficiency.

• Integration of RISC-V and Tensix cores – eliminating latency and boosting utilization by merging control and compute on the same die.

• TT-Forge compiler and TT-AI software stack – how Tenstorrent bridges popular AI frameworks (like PyTorch and TensorFlow) with its hardware to maximize performance.

• Open-source approach – why transparency and collaboration accelerate innovation and empower developers to build customizable AI solutions.

• Chiplet architecture and the Open Chiplet Atlas (OCA) – the rise of modular, composable silicon and an open ecosystem enabling interoperability across the industry.

• Blackhole and Galaxy systems – how Tenstorrent scales performance through tightly integrated Tensix and RISC-V cores, delivering efficient AI at scale.

• The RISC-V revolution – how this open CPU architecture is driving global innovation and technological independence.

• Global collaboration – how Tenstorrent unites teams from Austin, Warsaw, Seoul, and beyond under one open vision.

• The future of open silicon – why openness in hardware could be as transformative as open-source software was for computing.

🎙️ Why you should listen:

Discover how Tenstorrent is redefining the AI hardware landscape with openness, modularity, and collaboration — empowering developers, researchers, and enterprises to own their silicon and build the next generation of intelligent systems.

Hosted by Dariusz Kalbarczyk, co-founder of NG Poland, JS Poland, AI Poland, and AngularMaster.dev.

Are AI agents the future of software? 🤖

In this episode of the AI Master Podcast, my guest is Marcin Dziedzic – a Senior TypeScript Developer from Warsaw, specializing in Node.js, React, and building AI agents in production environments. With experience across both startups and large corporations, Marcin combines deep technical skills with real-world implementation of innovative AI solutions.

We dive into what it really takes to build AI agents for production, the challenges developers face, and why deploying a chatbot is much more than simply plugging into an API.

👉 How do you get started with AI agents and avoid the most common mistakes?

👉 Which hidden LLM features go beyond what ChatGPT offers?

👉 In what tasks are AI bots already outperforming humans?

👉 How do you test and monitor systems that don’t always behave deterministically?

👉 Are Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) the real future or just hype?

This episode is packed with hands-on insights, case studies, and practical advice for developers who want to bring AI into their projects and take it live.

🔹 This episode is for anyone asking: how does AI really work in production, and how can I use agents to build solutions ready for the future?

💬 Share your thoughts in the comments: Will AI agents replace traditional apps as we know them today?

📲 Connect with me: Instagram / X / LinkedIn: @ngKalbarczyk

🌐 More about conferences and workshops: ng-poland.pl | js-poland.pl | ai-poland.pl

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