Most localization teams are still juggling Excel exports, tracking content across various repositories, only to be told they’re holding up the release. But what if localization could be seamless? What if it integrated cleanly into your CI/CD pipeline, aligned with design and dev teams, and delivered quality without friction? In a new episode of The Agile Localization Podcast, host Stefan Huyghe sits down with Daniel Finck, Localization Manager, Consultant, and Solutions Architect at Loquatics Consulting, to explore how engineering-led localization setups can scale without turning localization into the next IT roadblock. Listen to the new episode on: - Apple Podcasts - Spotify - YouTube

In May, we closed 192 tasks and released 430 updates across Crowdin Enterprise and Crowdin.com. The highlight of the month was Agentic AI – a new autonomous system for translation assistance, inspired by vibe coding. It plans, searches, and validates translations like a real team member. In the Crowdin Store, 7 apps were updated, including major improvements to Webflow, Shopify, DatoCMS, and Bilingual DOCX Export. Pre-translation just got faster, filters got more flexible, and AI got more context-aware than ever. Let’s take a closer look.

When two Flemish tech minds reunite across the airwaves, you know it's going to be a great conversation. In a special all-Belgian episode of The Agile Localization Podcast, host Stefan Huyghe welcomes Jourik Ciesielski, the CTO of Yamagata Europe and Founder of C-Jay International, for a deep dive into the state and future of localization. Jourik isn't just a tech lead; he's a vocal advocate for reshaping the localization industry with smarter tools, stronger engineering, and a much-needed mindset shift. Together, they tackle the big questions: What should quality really mean in a GenAI-driven world? How do we move beyond static rule-based QA? Why is it no longer enough to just translate words when you can shape entire personalized experiences? Let’s unpack what’s coming next and why it matters. Listen to this episode of The Agile Localization Podcast on: - Apple Podcasts - Spotify - YouTube

Despite the advancements in AI, a SurveyMonkey study found that 31% of marketers have concerns about the accuracy or quality of AI tools. This isn't just about minor typos; it points to deeper issues like inconsistent tone, factual errors, and a critical lack of contextual understanding – all of which derail global content efforts and inflate localization costs. What if you could slash your AI-generated content costs in half without sacrificing quality or consistency? This isn't just a hypothetical. In a recent episode of The Agile Localization Podcast, host Stefan Huyghe sits down with Steven Wiseman, Chief Revenue Officer and Co-Owner at WritePoint, to unpack a framework that promises exactly that. Dubbed the Content Excellence Framework, this method helps teams dramatically improve the quality of AI-generated content and reduce localization costs across the board. From structured blueprints to smart verification loops, Steven's approach isn't about chasing AI hype; it's about operationalizing AI content creation with clarity, control, and real business value. Listen to the new episode on: - Apple Podcasts - Spotify - YouTube

In April, we closed 209 tasks and shipped 381 updates across Crowdin Enterprise and Crowdin.com. We introduced a new layout for the multilingual grid view in the Editor and made AI pre-translation faster and more context-aware. Task creation now supports automatic cost estimate reports, and we’ve added filtering and ignore options for integrations, usefull if you have lots of content in your CMS. The Crowdin Store also saw multiple improvements, including new export formats and enhancements to existing tools.

Localization can be a powerful catalyst for global business success (when done right). However, integrating it smoothly into product development remains a significant challenge for many companies. In a recent episode of The Agile Localization Podcast, Julio Madrid, a Localization Specialist at Walmart, shared insights about embedding localization early in product development, fostering cross-team collaboration, and harnessing technology to streamline processes.