Spring Vault 4.0.0-M1
available

Spring Vault 4.0.0-M1 milestone release is now available, bringing updates to the Spring integration library for HashiCorp Vault. This milestone version provides
developers with early access to new features and improvements for managing secrets and security configurations in Spring applications.

Spring.io

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GitLab vs GitHub : Key Differences in 2025

GitLab and GitHub are leading Git-hosting platforms with distinctive features. GitLab offers a fully integrated DevOps platform including CI/CD, security scanning, and infrastructure management out of the box, making it ideal for enterprises. GitHub, best known for its code hosting and collaboration capabilities, relies on third-party tools for extensive DevOps functionalities but excels in ease of use, community support, and integrations. Both platforms support AI-powered coding assistants, but GitLab's additional security and compliance features provide an edge for large organizations.

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Plate - Rich-text editor with AI, MCP, and shadcn/ui

TLDR Plate Create blockquotes to emphasize important information or highlight quotes from external sources. This is suitable for certain scenarios, there are times when you want users to be able to paste content while preserving its formatting. To achieve this, your editor should be capable of handling 'text/html' data.

🔗 https://platejs.org/

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Unlock Telegram’s most exclusive games 🔐

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For anyone curious about how technology is reshaping business — and our lives.

Today, AI often notices only the big brands. Ask Claude where to buy flowers, and she’ll point you to nationwide chains, ignoring local shops.

It looks like we now have to think about SEO not just for people, but for neural nets as well.

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• What makes truly successful founders special?
• About farming, AI, and no-code: a blitz interview with Ryan Stanley
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• About childhood, hobbies, and entrepreneurship
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mAInet new TG mine game with huge liquidity

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Explore the best games on Telegram 🔥

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Nvidia adds native Python support to CUDA

🔗 https://thenewstack.io/nvidia-finally-adds-native-python-support-to-cuda/

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Why Everyone* Should Learn About Cloud Computing and AI

TLDR The post highlights the growing importance of cloud computing and AI across various industries such as film, marketing, healthcare, education, and agriculture. It emphasizes that understanding these technologies is becoming essential for making informed decisions, collaborating with technical teams, and staying competitive. The post encourages everyone to start learning about cloud and AI tools, even if they are not coders, to thrive in the modern, technology-driven world.

🔗 https://dev.to/aws-builders/why-everyone-should-learn-about-cloud-computing-and-ai-37ch

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GitHubTree - Visualize repo structures in tree view

GitHubTree is a tool that allows users to easily visualize and explore the folder/directory structure of any public GitHub repository. It also enables users to copy file paths with a single click.

🔗 https://www.producthunt.com/posts/githubtree

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Darklang Goes Open Source

Darklang has transitioned from a source-available to fully open source model under Apache License 2.0 as part of restructuring from Dark Inc. to Darklang Inc. The decision was driven by user feedback, evolution toward local-first development with CLI support, and new business opportunities in developer tools. The platform now supports both cloud deployment and self-hosting while maintaining its core features like invisible infrastructure and trace-driven development

https://api.daily.dev/r/z6afZQaCY

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Claude 4: You better stop coding now

Claude 4, recently released by Anthropic, is a powerful AI model designed for advanced coding tasks, offering two versions: Sonnet 4 and Opus 4. The model excels in agentic mastery, multimodal tool integration, and efficient coding without hallucinations, setting itself apart from competitors like Gemini and GPT. With features catering to structured workflows and native tool integration, Claude 4 is poised to become a preferred choice for developers.

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Astro 5.8

TLDR Astro 5.8 has been released, requiring Node.js version 20.3.0 or higher, as Node.js 18 has reached end-of-life. While Astro will temporarily support Node.js 18.20.8, it's recommended to upgrade to Node.js 22 soon. Bug fixes are addressed and a CLI tool is available for easy upgrades.

🔗 https://astro.build/blog/astro-580

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Podman vs. Docker: Containerization Tools Comparison

TLDR Podman and Docker are two leading container platforms offering distinct features. Podman, developed by Red Hat, operates daemonless and supports rootless containers, enhancing security and system integration. Docker, highly popular for its ease of use, operates on a daemon-based architecture and has a rich ecosystem with broad third-party support. Both tools use OCI-compliant images allowing interoperability. While Docker's Swarm mode facilitates orchestration, Podman's design aligns closely with Kubernetes. Each tool is suitable for different use cases, with Podman excelling in secure, system-integrated environments and Docker being ideal for general development workflows.

🔗 https://spacelift.io/blog/podman-vs-docker

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Seamlessly Blend PHP with Node.js

TLDR Platformatic introduces php-node, a Node.js module that allows developers to embed PHP within Node.js applications. The module utilizes Rust to execute PHP applications in a multi-threaded environment, providing enhanced performance and seamless integration. Key features include seamless integration, multi-threaded processing, improved performance, and a unified development environment. Use cases range from migrating legacy PHP apps to building hybrid applications. The post also provides examples of running PHP and WordPress inside a Node.js server.

🔗 https://blog.platformatic.dev/seamlessly-blend-php-with-nodejs

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How Netflix Uses Java to Stream to 200M+ Users

TLDR Netflix uses Java to manage a complex backend that streams 250 million hours of content daily. They transitioned from a monolithic architecture to microservices, leveraging Java for its concurrency, scalability, and rich ecosystem. Influential tools developed by Netflix include Eureka for service discovery and Hystrix for fault tolerance, which are integrated with Java to optimize performance and reliability across their AWS platform. Their approach and contributions have significantly impacted modern backend systems.

🔗 https://amigoscode.com/blogs/how-netflix-uses-java-to-stream-to-200m-users

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React library for LLMs

TLDR llm-ui is a React library that provides UI components for integrating Large Language Models into web applications. It works universally with any LLM model by operating on the model's output string, supporting popular services like ChatGPT, Claude, Ollama, Mistral, Hugging Face, and LangChain. The library aims to simplify the process of displaying LLM responses in React-based user interfaces.

🔗 https://llm-ui.com/

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MinIO: AWS S3, but free and open-source

TLDR MinIO offers an open-source, high-performance alternative to AWS S3 for object storage, ideal for indie developers and small teams due to its cost-effective scalability and flexibility. With features like bucket organization, IAM policies, event hooks, and multi-platform hosting options, MinIO can operate across local machines, Docker, Kubernetes, and cloud VMs. While it eliminates vendor lock-in and incurs no direct usage fees, MinIO does require responsible management of infrastructure for backups and high availability.

🔗 https://devjournal.info/minio-aws-s3-but-free-and-open-source/

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@memes_programming

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bytedance/MegaTTS3

TLDR MegaTTS3 by Bytedance is a lightweight and efficient text-to-speech (TTS) model with only 0.45B parameters. It supports high-quality voice cloning, bilingual (Chinese and English) speech synthesis, and accent intensity control. Users can download pre-trained models, use command-line tools for inference, and access a web UI. The project aims for academic use, with stringent security measures and is licensed under Apache-2.0.

💻 https://github.com/bytedance/MegaTTS3

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Interview with Vibe Coder 2025 [Vibe Coding meaning full reliance on AI]

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Does AI really make you more productive?

TLDR The post discusses the impact of AI on software development productivity, based on findings from the 2024 Accelerate State of DevOps Report. While AI tools are widely used for various coding tasks, there are concerns about their negative effects on software delivery metrics like throughput and stability. Large AI-generated code batches can slow down reviews and increase the risk of bugs, potentially making developers less productive despite the perceived speed gains from AI.

🔗 https://toddle.dev/blog/does-ai-really-make-you-more-productive

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