
Lize Raes
@LizeRaes
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Developer Advocate Java & AI @ Oracle - Speaker - Open Source Advocate - Building LLM-powered applications - Musician, Painter, Woodworker
Basel, Switzerland
Joined April 2020
Haha, @intellijidea puts it right: your AI app doing weird things? I bet you've been there. Just know there are solutions 😊.
Ever struggled with your AI app doing weird things?.@lizeraes shares tools and strategies to make them production-ready in her #IntelliJIDEAConf talk 👉
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RT @intellijidea: Ever struggled with your AI app doing weird things?.@lizeraes shares tools and strategies to make them production-ready i….
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RT @JAVAPROmagazin: Read top articles from:. @LizeRaes.@LoMagnette.@RStatsinger.@spoole167.@MarkusKett.@cldelgadop.@tfroment.@MohammadAliEN….
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langchain4j-agentic is in the works, a huge thanks to @mariofusco for taking on this huge but definitely exciting endeavor 🔥 and being so open to feedback on the way there 🚀.
I completed a 2nd round of review/rework of my @langchain4j Agentic AI framework, added some features and updated the tutorial accordingly Thanks a lot to @LizeRaes and @juliendubois for their precious feedback and suggestions. Almost there, stay tuned!.
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RT @mariofusco: For the last few weeks I worked to a new @langchain4j module implementing an agentic AI framework and today I wrote down in….
github.com
Java version of LangChain. Contribute to langchain4j/langchain4j development by creating an account on GitHub.
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If you want to see some cool @LangChain4j features like agentic workflow, human-in-the-loop, guardrails, wrapping specialized models, . have a look at this video from #IntelliJConf + here's the code to adapt for your use case ➡️(with @anunnak1an 🙏🙏🙏).
github.com
Contribute to LizeRaes/ai-drug-discovery development by creating an account on GitHub.
@lizeraes ’ talk, “Next-Level Features of LangChain4j for Production-Ready AI Applications”, from #IntelliJIDEAConf is now live!.Watch to explore practical AI integration, RAG, model strategy, and real-world tooling. Don’t miss it:
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LangChain4j's security is in excellent hands thank to many important contributions from this team at Microsoft! Thank you so much 🙏🙏🙏.
Super happy to share this blog post announcing the great partnership we've established between Microsoft and @langchain4j .
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RT @eMalaGupta: Me: I wanna try #Java25 EA builds and shiny new features. Also me: Ugh, downloads… configs…. #IntelliJIDEA 2025.2: Hold m….
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Docker just launched Docker Offload 🐳 run bigger models without frying your laptop.➡ Run containers + AI models in the cloud.➡ Local privacy, cloud GPUs.➡ $0.01(5)/min.I wrote an article on how to get started 👉
medium.com
Local AI models are great. They come with absolute data privacy guarantees required for some industries and are cheap to run. But they may…
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🚀 Exploring AI coding assistants? I built a filterable table comparing popular tools. Find exactly what you need, like: .✅ On-prem support .✅ Non-copyrighted output .✅ And tons more .▶️ .#AI #Coding #DevTools.
aitoolcomparator.com
Compare AI coding assistants like GitHub Copilot, Claude, Cursor, and more. Filter by features, pricing, IDE support, and capabilities.
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Are you falling behind if you're not using an AI assistant for coding? How can AI help you beyond code assistants? A down to earth overview on where to get started and what (not) to expect.
#GitHubCopilot, Cursor, #DevoxxGenie: same promise, different results. @LizeRaes tested leading #AI coding tools on real workflows. The gaps between them are bigger than you think. Read the detailed comparison: #Frameworks #LLM #LangChain4j @langchain4j
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RT @sivalabs: AI Tooling for Software Development: The Useless, the Useful, and the Future. An amazing article by @LizeRaes. .
javapro.io
Explore the best AI tools for software development, how they enhance coding, automate workflows, and improve team efficiency. Learn which AI assistants fit your needs and what the future holds for...
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Have a look how AI can help you boost productivity over the whole software development lifecycle (hint: it's more than just coding assistants).
Which #AI tools really boost dev productivity – & which ones just look impressive? @LizeRaes tested assistants, planners, context retrievers. Surprising winners (& losers) inside. Save hours of trial & error: #Frameworks #DevOps #LangChain4j @langchain4j
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