BestBlogs.dev Weekly Selection Issue #1

Cloudflare has achieved a significant milestone by processing 1 trillion messages through their Kafka infrastructure. The article discusses the challenges and lessons learned by Cloudflare's engineering team in scaling Kafka, including the transition from a monolithic PHP application to a decoupled and event-driven system. It highlights the use of Apache Kafka for decoupling services and enabling retry mechanisms, and the adoption of Protocol Buffers for enforcing message contracts. The article also mentions the creation of a message bus cluster and an internal message bus client library to streamline Kafka usage.

Vercel Ship 2024重点展示了前端云的力量，强调了构建网络最佳产品的集成、生态系统和团队。阅读回顾以获取所有公告概览。

The article discusses the importance of safeguarding digital identities amidst growing threats like phishing, identity theft, and ransomware. It recommends adopting passwordless methods, using password managers, and enabling multi-factor authentication for enhanced online security.

This article explores 20 common concurrency models, analyzing their strengths and weaknesses, and outlining their suitable use cases. Through practical code implementation and performance testing, the article delves into the fundamentals of I/O models, as well as advanced techniques like asynchronous I/O, streaming parsing, and shared binary buffers. It offers a wealth of open-source code for readers to learn from and reference, making it ideal for software engineers and system architects seeking a deeper understanding of concurrency model applications.

AI Gateway, launched by Cloudflare, is now generally available. This AI ops platform provides a unified interface for managing and scaling generative AI workloads, offering features like rate limiting, custom caching, real-time logs, and aggregated analytics across multiple providers with just a single line of code. It acts as a proxy between your service and your inference provider(s), enhancing performance, security, reliability, and observability.

Discover configurations to enhance your VSCode experience, including smooth typing, project-specific settings, custom window aesthetics, intelligent code suggestions, and more.

The article details how OpenSauced employs Timescale and pgvector to create a Copilot for GitHub history. OpenSauced, a platform focused on insights into open-source projects and contributors, aims to address GitHub's shortcomings in providing real-time data and insights. The article first introduces the background and goals of OpenSauced, then delves into the reasons for choosing Timescale, including its superior performance, familiarity with PostgreSQL, and cost-effectiveness. OpenSauced integrates tens of thousands of new real-time GitHub events every hour through Timescale's efficient time-series mechanisms, providing deep insights and metrics. The article also describes the data pipeline implementation, utilizing a Go microservice to continuously read data from the GitHub event stream and batch insert it into Timescale. Additionally, it explores the use of pgvector for retrieval-augmented generation (RAG), creating an AI feature called StarSearch, which quickly answers user questions through similarity search powered by Timescale's support for the pgvector extension.

Kotlin 2.0 is released with a stable K2 compiler, which is designed to be fast, smart, and multiplatform. It is a significant step in Kotlin's evolution, offering improvements in compilation speed, code analysis, and multiplatform capabilities. Kotlin has gained popularity among developers for its concise and safe syntax, and is now the primary language for Android development. Kotlin Multiplatform (KMP) allows sharing code across various platforms, and Kotlin 2.0 introduces further enhancements to KMP, including first-party support for Compose Multiplatform projects.

The article 'You should keep a developer’s journal' published on the Stack Overflow Blog advocates for the use of a developer's journal as a tool to enhance productivity, focus, and personal growth in coding. The author emphasizes that developers often deal with abstract ideas and complex systems, making it easy to lose track of thoughts and tasks at the code level. A developer's journal serves as a personal tool to define problems, reduce ambiguity, learn from experiences, avoid distractions, and manage emotional states. The article provides practical tips on setting up and using a journal, including choosing a writing platform, defining daily goals, documenting problem-solving processes, and reflecting on completed tasks. The author also highlights the long-term benefits of journaling, such as improved self-awareness, better communication with team members, and enhanced career progression. The article concludes by encouraging developers to adopt journaling as a regular practice to improve their coding efficiency, mental clarity, and team collaboration.

This article, compiled by mingguangtu, outlines the fundamental principles of seven common GC algorithms, including Mark-Sweep, Reference Counting, Mark-Compact, Copying, Conservative GC, Generational GC, and Incremental GC with Tri-Color Marking. It serves as a framework for learning about GC, based on the book 'Garbage Collection Algorithms and Implementations' by Seihou Nakamura and Hikaru Aikawa. Understanding GC is crucial as it helps automate memory management, reducing manual intervention and preventing issues such as memory leaks, dangling pointers, and erroneous deallocations.

This article introduces the best WebSocket encapsulation that perfectly supports disconnection reconnection and automatic heartbeat. It is a must-know technology in frontend development.

Keeping things simple can make systems run better and easier to maintain and expand. The more experienced one is, the more they understand this principle. The article criticizes the trend of over-designing in software architecture, highlighting several cases of excessive microservices, database partitioning, middle platforms, message queues, multi-level caching, design patterns, complex relationships, database portability, data validation, and configuration. The author advocates for the KISS (Keep It Simple, Stupid) principle.

This article explores the Domain-Driven Design (DDD) theory, a methodology that is conceptually simple but practically challenging. It discusses how DDD can enhance technical and business thinking skills, improve overall perspective and structured thinking, and provide systematic technical concepts. The article compares DDD with the traditional MVC architecture, highlighting DDD's advantages in handling complex business scenarios and promoting unified language, clear boundary definitions, and domain capability accumulation and reuse. It also covers the strategic and tactical aspects of DDD, emphasizing its role in strategic business modeling and tactical implementation.

This article investigates the phenomenon of inaccurate metric readings in Prometheus, a popular open-source monitoring system inspired by Google's Borgmon. Despite being lauded as a cloud-native monitoring staple, users often encounter discrepancies in reported metrics like CPU cores count and percentile values. The article delves into why Prometheus sacrifices precision for efficiency and availability, explaining concepts like interpolation and window alignment. Through case studies, it clarifies why Prometheus remains a recommended tool despite known inaccuracies.

This article discusses the development of a local cross-platform chatbot using Ollama, a Go-based framework for running large models locally, and Flutter, a mobile cross-platform development framework by Google. The chatbot leverages Ollama's model capabilities as the backend, while the frontend is developed with Flutter, supporting platforms like iOS, Android, and macOS. The article covers the setup, implementation details, and key features such as data handling, UI layout, and integration with SQLite for data storage.

This article summarizes the author's experiences and reflections as a backend engineer at Taobao in 2023, drawing parallels to the TV series "Reply 1988". The author recounts their journey through various technical and personal challenges, focusing on key themes:

1. Learning and Growth: The author shares their struggles and insights from learning Domain-Driven Design (DDD), emphasizing the importance of independent thinking and avoiding blind following. They use the analogy of Forrest Gump's running scene to illustrate this point.
2. Knowledge Acquisition and Application: The author advocates for continuous learning, emphasizing the value of structured knowledge and its practical application. They discuss their exploration of business architecture and its relevance to technical development.
3. Decision-Making and Judgement: Using the daily commute as an example, the author analyzes the process of making decisions, highlighting the importance of information gathering and developing efficient decision-making models.
4. From Theory to Practice: The author reflects on the gap between theoretical knowledge and practical application. They share their experiences in applying design principles and patterns to real-world scenarios, emphasizing the importance of hands-on experience.
5. Personal Projects and Growth: The author emphasizes the significance of personal projects in solidifying knowledge and showcasing expertise. They describe their work on a simplified application framework (VSEF) as a testament to their understanding and a valuable contribution to the developer community.

The world of Copilot is getting bigger, improving the developer experience by keeping developers in the flow longer and allowing them to do more in natural language. GitHub Copilot Extensions enable developers to build and deploy to the cloud using their preferred tools and services without leaving the IDE or GitHub.com. Key partners include DataStax, Docker, LambdaTest, and more. Extensions are supported in GitHub Copilot Chat, Visual Studio, and VS Code. Organizations can also create private extensions for internal tools. This initiative aims to minimize context switching, maintain flow state, and accelerate software delivery.

This article provides a detailed guide on how to construct an AI-driven frontend UI component generator using Next.js, GPT4, Langchain, and CopilotKit. It explains the integration of CopilotKit to generate UI component code and implement tutorials, offering practical examples and step-by-step instructions for setting up and running the generator.

This article announces the release of Spring Boot 3.3.0, outlining various new features and improvements. Key highlights include: 1. CDS Support for improved startup times. 2. Observability improvements with support for various monitoring tools. 3. Enhanced Spring Security functionalities. 4. Expanded service connection capabilities (e.g., Apache ActiveMQ Artemis, LDAP). 5. Additional Docker Compose support and virtual thread support for websockets. 6. Support for Base64 resources in property files and SBOM actuator endpoint. 7. Upgraded documentation and SSL SNI support for embedded web servers.

In a speech at the 5th Shanghai Innovation and Entrepreneurship Youth 50 Forum on May 18, Yang Zhilin, founder of Dark Side of the Moon, shared his entrepreneurial insights and views on AI technology development. He emphasized the differences between internet and large model development, likening the former to 'planting trees' and the latter to 'contracting forests'. Yang also discussed the importance of long-context technology and the potential of AI to handle complex tasks, predicting a significant increase in AI's role in work processes.

Microsoft has introduced a new generation of AI PC, the Copilot+ PC, which integrates over 40 AI models and supports real-time AI processing. This new PC allows for real-time interaction with AI during gaming, natural language search for files and browsing history, and real-time translation of over 40 languages. It features a new system architecture combining CPU, GPU, and NPU, enhancing AI workload capabilities by 20 times and efficiency by 100 times. The PC is designed to understand users, not the other way around, and is powered by Qualcomm's Snapdragon X Elite processor, with ARM architecture for improved battery life.

This article delves into advanced Prompt techniques, including Zero-shot, Few-shot, CoT (Chain of Thought), and TOT (Tree of Thought), aiming to improve model output quality and reasoning capabilities. The author examines how structured outputs, condition checks, example provision, and model parameter adjustments (like temperature and Top_p) can optimize prompt design for output control. Additionally, the article introduces various prompt frameworks (such as ICIO, CRISPE, RGCS) and their application examples, highlighting the concept of Agent and its crucial role in AI development, especially in task planning and iterative optimization. The inclusion of practical application cases further enhances the summary's practicality and operability.

Meta has introduced 'Chameleon,' a new multimodal model designed to challenge GPT-4o. Chameleon can seamlessly handle text and images within a single neural network. Trained with 10 trillion tokens and featuring 34 billion parameters, its performance rivals that of GPT-4V, setting a new state-of-the-art (SOTA) benchmark. Key points include: 1) Chameleon uses a unified Transformer architecture for text, images, and code. 2) It employs early fusion to map all inputs into a common representation space. 3) The model introduces several architectural innovations and training techniques to address technical challenges. 4) Chameleon outperforms Llama 2 in various benchmarks and is competitive with leading models like Mixtral and Gemini Pro.

A significant breakthrough has been made in understanding AI model internals, identifying millions of concepts represented in Claude Sonnet, a deployed large language model. This pioneering study of modern production-grade LLMs enhances future AI safety by uncovering how they represent and process information.

This article focuses on the 2024 price war in the LLM field, detailing how DeepSeek's DeepSeek v2, through architectural innovation, significantly reduced inference costs, triggering a price war. Subsequently, Zhipu, ByteDance, Alibaba, Baidu, and Tencent followed suit with price reductions, causing a significant drop in LLM prices. The article highlights that this price war not only reduced developer costs but also accelerated the adoption of LLMs across industries. Additionally, the article recommends practical tools and rankings to help developers quickly assess the cost-effectiveness of various models. These include websites like Cloud LLM, Artificial Analysis, and LLM API Pricing Calculator, as well as authoritative rankings such as LMSYS Chatbot Arena Leaderboard and Open LLM Leaderboard. These resources provide detailed performance and price comparisons and support custom interactions, greatly facilitating the selection process for developers.

In a recent interview, AI pioneer Geoffrey Hinton discusses his insights on intuition in AI research, talent selection, and collaboration. Hinton emphasizes the importance of intuition in identifying promising researchers like his student Ilya Sutskever. He reflects on his journey from studying physiology and philosophy to AI, highlighting significant collaborations that have advanced our understanding of neural networks and AI. Hinton also discusses the potential of large-scale models and the importance of scaling in AI development, touching on topics such as multi-modal learning and the use of GPUs in neural network training.

Hugging Face has launched the ZeroGPU plan, offering free access to high-performance GPUs worth $10 million to reduce barriers for researchers and developers in AI technology. The plan aims to democratize AI technology and encourage innovation by providing GPU resources for AI model deployment and performance optimization.

A project that implements LLaMa3 from scratch has gained significant attention, receiving praise from Karpathy and accumulating 1.5k stars on GitHub within half a day. The project includes detailed explanations of attention matrix multiplication across multiple heads, position encoding, and layer implementations. It demonstrates a comprehensive approach to understanding and implementing advanced machine learning models.

GitHub Accelerator迎来第二批项目，旨在推动全球开源AI项目的创新与发展，涵盖从模型微调、测试平台到AR/VR和机器人导航等多个领域。

DSPy, developed by researchers in Matei Zaharia's Stanford lab, is a library that compiles declarative language model calls into self-improving pipelines. These pipelines combine intermediate outputs with initial inputs to produce final answers, enhancing the efficiency and effectiveness of LLM operations. DSPy enables the optimization of complex, multi-stage LLM pipelines, making manual prompt-tuning obsolete and facilitating the development of advanced LLM solutions.

Microsoft introduces the Phi-3-vision, a multimodal model integrating language and vision capabilities, now available on Azure. This addition expands the Phi-3 family, which includes Phi-3-small and Phi-3-medium, designed for generative AI applications requiring strong reasoning and limited compute. The Phi-3 models are optimized for various hardware and are compliant with Microsoft's responsible AI standards.

This article explores the integration of MultiOn, an AI agents platform, with LlamaIndex, a data framework for LLM applications. It demonstrates how these technologies can automate and streamline web interactions, focusing on managing email interactions and web browsing through a technical walkthrough. The integration involves setting up an AI agent, integrating Gmail search tools, initializing the agent with necessary tools, and executing the agent's task flow to search, summarize, and generate responses to emails.

This article is an interview with Yan Junjie, founder of AI company MiniMax, discussing recent advancements in AI, particularly OpenAI's GPT-4o and Google's Gemini1.5.

Key takeaways:

• OpenAI's GPT-4o impressed with its near-instantaneous voice interaction, achieved by aligning speech recognition directly with the language model, highlighting OpenAI's focus on user experience and engineering excellence.
• Google's AI search demonstrated its strength in multi-step reasoning, real-time information integration, and superior video understanding, leveraging its vast resources and data from YouTube.
• Yan believes multi-modality is crucial for wider AI adoption, allowing for richer interactions and accessibility across diverse user groups.
• While OpenAI leads in product innovation and pushing AI boundaries, MiniMax aims to close the gap by focusing on building a superior language model and integrating different modalities, expecting to achieve comparable user experiences in the future.

This article, based on a presentation by Loubna Ben Allal, a machine learning engineer at Hugging Face, delves into the world of Large Language Models (LLMs) designed specifically for code. It begins by highlighting the impact of GitHub Copilot and similar tools, emphasizing their ability to enhance developer productivity through code autocompletion, generation of unit tests and documentation, and even more complex tasks. The article then explores the evolution of code LLMs, from early models to the emergence of instruction-tuned LLMs capable of following instructions and achieving high performance on coding benchmarks. The training process of code LLMs is discussed, including the significant resources required in terms of GPUs, data (often sourced from GitHub), and expertise. The article concludes by outlining the typical architecture and training stages of these models, from pre-training on vast code datasets to supervised fine-tuning and potentially Reinforcement Learning from Human Feedback (RLHF) for aligning the model's output with human preferences, similar to the development of chatbots like ChatGPT.

This article delves into user acquisition from multiple perspectives, outlining its definition, importance, strategic value, and specific implementation methods. It emphasizes that the core of user acquisition lies in continuously expanding new customer channels (X) and improving user retention rates (Y), maximizing the value of X-Y. The article then explores the characteristics and applications of various traffic channels, including search engine traffic, SEO, app markets, WeChat Mini Programs, and official accounts, highlighting the unique features and application scenarios of each channel and how they can be leveraged for user acquisition and business value. The article further discusses methods for user acquisition through channels like apps, Mini Programs, and official accounts, including organic traffic acquisition, official account matrix, channel hierarchical management strategies, and specific measures to improve conversion rates. Additionally, the article covers key concepts in user acquisition strategies, such as A/B testing, North Star Metric, user activation and retention, magic number, and feature retention matrix, illustrating these strategies with specific cases. Finally, the article discusses how to achieve user acquisition by analyzing user behavior paths, optimizing conversion rates, personalized content recommendations, increasing ARPU (Average Revenue Per User) values, and reducing churn rates, particularly in e-commerce and financial products. The article also explores various user acquisition strategies, including incentive growth systems, event planning, the establishment of a growth mindset and innovation, and the challenges and solutions encountered during the acquisition process.

Zapier's unconventional strategies, including remote-first operation, limited fundraising, and focus on solving real user problems, have contributed to its remarkable growth from a Missouri-based startup to a $5 billion valuation.

This article explores seven design strategies to reduce cognitive load in UX design, focusing on simplifying complex interfaces and enhancing user interaction. It discusses the evolution of spacecraft control panels, the causes of high cognitive load, and specific design tactics such as simplification, information visualization, and effective use of cognitive resources.

This article delves into the SEO marketing strategy of Canva, a SaaS company aiming to replace Microsoft Office with its online collaborative content editing and publishing tools. The analysis covers how Canva strategically designs landing pages based on user search intent, the importance of understanding and leveraging search intent, and the role of content directories and backlinks in driving traffic. Key strategies include creating scalable landing pages, investing in backlink construction, and swiftly responding to emerging market needs.

This article discusses how the methodologies that have been successful in the internet domain may not apply to AI. It emphasizes that while the internet is about connectivity, AI is about direct value creation through intelligence. The article explores the differences in depth, relevance, and the impact on value creation between the two fields, suggesting that a new approach is needed for AI.

Colors, as the soul of visual arts, have always attracted people's attention with their unique charm. Today, let's explore the world's most beautiful colors together!

NVIDIA's recent financial performance has significantly surpassed expectations, with CEO Jensen Huang highlighting the transformative impact of AI on various industries. The company's commitment to accelerating innovation in AI and computing technology is evident, with a focus on expanding into new markets such as sovereign AI, automotive, and healthcare. Despite challenges in the Chinese market, NVIDIA remains dedicated to serving its global customer base with advanced solutions.

This article features a detailed discussion between Marc Andreessen and Ben Horowitz, co-founders of the top venture capital firm a16z, about AI and entrepreneurship. Key points include: 1) Small AI startups should focus on creating unique products and services to compete with large tech companies. 2) The true value of data lies in its utilization, not in the data itself. 3) Technological advancements and market responses are uncertain, and a certain percentage of failure is accepted in venture capital models. 4) Large companies like Google and Microsoft may sacrifice national and global interests for profit, revealing moral and strategic contradictions in capitalism. 5) Major technological advancements often come with financial bubbles, which are a natural part of promoting new technologies.

Kimi chat has introduced a reward-based payment model that differs significantly from traditional subscription-based models. This model is designed to enhance user engagement and psychological attachment to the product, as well as to provide a more flexible pricing structure that avoids direct comparison with monthly subscription fees. The model also aims to motivate the product design team and support the company's sustainable development.

This article highlights the current hot topics in the AI industry by examining the perspectives of five prominent AI figures. During the 'AI Genesis Era' summit hosted by 'Gausu Lightspeed', key issues such as the slowdown of AI foundational models, the importance of applications, and the future of compute power ecosystems were discussed. The five key participants include venture capitalist Zhu Xiaohu, CEO of Cheetah Mobile Fu Sheng, and other notable figures representing diverse roles within the AI ecosystem. Key points discussed include: 1) The varying visions on the immediacy of AI's explosion in applications; 2) The balance between technological faith and market-driven strategies; 3) The emerging challenges and opportunities within the compute power ecosystem.

Elon Musk participated remotely in the 2024 VivaTech conference held in Paris, sharing his visions for the future. Key points include: 1. Musk anticipates sending humans to Mars within 10 years and humans returning to the moon within 5 years to create a multi-planet civilization. 2. He voiced concerns about the future of Earth and the importance of space colonization for human survival. 3. Musk discussed AI's need to be trained with honesty, criticizing current tech companies for focusing on political correctness. 4. His xAI aims to pursue truth and curiosity, standing out in the AI field. 5. Musk touched on Neuralink's potential to treat brain and spine injuries and the prospects of AI in education.