<!here> 🗞️ Hot off the press: Generative AI workflows need engineering discipline to scale beyond the demo It's been less than a year since we released Kedro 1.0 K, and a lot has changed in how we think about and build data pipelines. Agentic workflows have moved past the novelty stage and teams are now implementing them alongside traditional ML steps. We've shipped a number of features across the Kedro ecosystem to meet these evolving needs: the LLM context node for preparing everything required to run an LLM, datasets for configuring and managing prompts, tracing, and evaluation. Now the team has published an article sharing our vision for how Kedro fits into the agentic workflow, bringing engineering discipline to ensure these systems don't stay as demos but actually make it to production! You can find the article here: https://medium.com/quantumblack/generative-ai-workflows-need-engineering-discipline-to-scale-beyond-the-demo-a9928135e393 🔗