We’ve just wrapped up a productive HIVEMIND GA in Berlin. Partners reviewed progress across all work packages, aligned on what “agents” mean in HIVEMIND, and agreed on next steps towards M18, with a focus on implementation, integration, and reuse. Thanks to our hosts at @DFKI!

🚀 REFSQ 2026 is calling — submissions are OPEN! Have a breakthrough in Requirements Engineering? 📄 Submit your paper, share your vision, inspire the field. 📅 Deadline: 17/10/25 🔗 2026.refsq.org #REFSQ2026 #Research

I’m calling for a six-month moratorium on AI progress. Not for safety, just so I can take a nap.

Vaja, un altre deploy en calent que no ha anat bé.

🎥Missed Birgit Penzenstadler’s insightful keynote at #REFSQ2025? No worries — the recording is now available on YouTube!✨ Don’t miss this deep dive into sustainability in requirements engineering. 📺Watch now: youtu.be/p6kwQbKR2Mw?si=qCZh… #Sustainability #RequirementsEngineering

Fabulous! That's exactly how we feel about the new HIVEMIND website! We'd love to hear your thoughts! Haven't checked it out yet? Take a look now 👉 hivemind-project.eu Big thanks to the @AustraloTeam for their work in creating our digital space!

#Huifa 100 anys va nàixer l'enginyera informàtica estatunidenca Evelyn Berezin (m. 2018). És coneguda per haver dissenyat un dels primers processadors de text i també un dels primers sistemes informàtics de reserves per a companyies aèries. #viquidones ca.wikipedia.org/wiki/Evelyn…

The end of #REFSQ2025 doesn’t mean goodbye… it means see you soon! Pack your bags (well, not yet) because #REFSQ2026 is heading to Poznań, Poland! Next year’s theme? "Trustworthy and Ethical Systems via RE" Check @WC_REFSQ, LinkedIn, and 2026.refsq.org for updates!

The main conference at #REFSQ2025 starts today! Excited to kick off with great talks and discussions. 🎤✨ The registration desk is open—pick up your badge and join us! 🎟️

Next week, I’ll be in Barcelona talking about LLMs, interpretability, and evaluation at @nlp4re (@WC_REFSQ)! Looking forward to being there! 🇪🇸🔥 #NLProc

📢 The #REFSQ2025 proceedings are out! Explore the latest in Requirements Engineering, now available on SpringerLink. 🔗 2025.refsq.org/ 📅 Free access for registered participants until May 15, 2025. #RequirementsEngineering #SoftwareQuality #SpringerLink

#REFSQ2025 spotlights! Don't miss our industry talks: 📢 How do we tackle real-world RE challenges in healthcare applications? 📢 ¿Cómo enfrentamos los desafíos reales de Ingeniería de Requisitos en aplicaciones de salud? #HealthcareTech #RequirementsEngineering #digitalhealth

#REFSQ2025 spotlights: Don't miss the following industry talk: 📢 How can neurodiversity enhance software quality? 🌍👨‍💻 📢 ¿Cómo puede la neurodiversidad mejorar la calidad del software? #REFSQ2025 #Neurodiversity #SoftwareQuality #Inclusion

Spotlights: Yiannis Kanellopoulos​-Industry Keynote 📢 As AI evolves, how does Requirements Engineering keep up? 📢 A medida que la IA evoluciona, ¿cómo se adapta la Ingeniería de Requisitos? #REFSQ2025 #AI #RequirementsEngineering #ResponsibleAI

🎙️New week, new interview! Xavier Franch shares how @la_UPC's expertise is shaping WP5, Smart System Specification, in #HIVEMIND. He talks about what excites the team to be part of the project, their expectations & challenges ahead. 👉 Watch now: youtu.be/FKy-i3fX0vI

Amb tantes línies obertes encara trobaran qui va matar Sansa #Crims3cat

🚀REFSQ 2025 is coming to Barcelona! Two must-attend events for industry professionals: 🔹IREB Summit (April 8) – Training, certification & the future of RE 🔹Industry Day (April 9) – Real-world RE applications 📍UPC (Campus Nord) 🔗More info: 2025.refsq.org

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.”​ Statements discouraging people from learning to code are harmful! In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment. As coding becomes easier, more people should code, not fewer! Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step. I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively. One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that. When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result. Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do. [Original text: deeplearning.ai/the-batch/is… ]

Starting our #HIVEMIND interview series! First up: Daniel García (Idener.ai), project coordinator. 📢 "We want to help Europe become an innovation hub for generative #AI in software engineering—ethically & transparently." 👉Watch now: youtu.be/bWfhaIp6Dao