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Building AI Applications in Ruby

Ruby is often not mentioned in the context of AI applications compared to Python, but it can be a better language for building web apps with AI integration, as it offers simplicity and developer happiness.
The complexity in modern web apps, especially with single-page applications (SPAs) like MERN stack, has led to longer development times and higher costs.
Ruby on Rails (Rails) is highlighted as a framework suited for rapid development of quality apps with AI integration, offering simplicity and efficiency compared to Django in some aspects.
For AI integration, modern Rails tools like Hotwire, Turbo, and Stimulus allow crafting SPA-like experiences without heavy JavaScript, providing a mix of ease and functionality.
The rise of microservices architecture in contrast to monoliths has added complexity to app development, yet it offers scalability and the flexibility of a polyglot tech stack.
Python and Ruby, though unique in philosophy and design principles, share similarities like high-level interpretation, dynamic typing, object-oriented programming, readable syntax, and wide package ecosystems.
Recent AI-based gems in Ruby, such as RubyLLM for multi-turn conversations, Neighbors for nearest-neighbors search, Async for non-blocking I/O tasks, and Torch.rb for training deep learning models, are making waves in the Ruby community.
Building web applications with AI integration rapidly and cost-effectively often demands a monolithic architecture focusing on quality apps delivered speedily, with Ruby on Rails emerging as a favorable choice.
Research in AI or training ML models from scratch may still favor Python due to its ecosystem and libraries; however, for integrating LLMs into web apps, Ruby is considered a superior option.
Overall, choosing between Python and Ruby for AI applications depends on the project's requirements, with Ruby offering simplicity and efficiency for web development with AI integration.
The article concludes with a hint at a forthcoming part three, diving into a simple experiment on building a web app with AI integration, encouraging readers to explore Ruby's potential for their projects.

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Hackernoon

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Bitget Wallet Unveils Full-Stack Roadmap Across Trade, Earn, Pay, And Discover

Bitget Wallet unveils its product roadmap post a brand overhaul, emphasizing Trade, Earn, Pay, and Discover functionalities to simplify crypto use.
The $1 million community incentive campaign aims to accelerate adoption along with the global Champion Program to boost engagement.
Bitget Wallet now offers a comprehensive trading experience with tools like Hot Picks, real-time alerts, and one-click, gas-free Super DEX for trade execution.
Users can monitor smart money movements and utilize tools such as market charts, AI-generated summaries, and sentiment feeds within Bitget Wallet Alpha.
The wallet supports one-click staking, automated yield generation, and will introduce the Simple Yield Vault for automatic interest earning.
Future updates include support for tokenized real-world assets, an enhanced Earn Dashboard, and integration of a built-in shop for crypto payments.
Bitget Wallet focuses on simplifying onboarding with Simple Mode and enhancing security with advanced encryption and smart transaction protections.
The platform is expanding payment options, including support for national QR code systems and the Bitget Wallet Card for global crypto spending.
An AI-powered support chatbot and upgraded Discover page aim to improve user experience and navigation in the Web3 ecosystem.
With a $1 million incentive campaign and Champion Program, Bitget Wallet aims to bridge the gap between crypto and real-world usage for all users.

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Medium

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Image Credit: Medium

Mediocrity Is Good Enough, Unless You’re a Coder

Software engineers may get in conflict with other members of organizations due to the nature of their work having measurable impact and a way to evaluate correctness.
Most employees in companies may not see a direct impact of trying harder, and their performance is often judged based on their boss's feedback.
In many organizations, employees typically wait for instructions from their boss and may not have clear standards to measure if they have done the task right.
Coding, being a field that has a way to evaluate correctness, sets software engineers apart from other jobs where the output may not have such clear evaluation criteria.

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Hackernoon

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Bitcoin Suisse Secures In-Principle Approval From ADGM’s Financial Services Regulatory Authority

Bitcoin Suisse's subsidiary BTCS (Middle East) Ltd. has received an In-Principle Approval from the Financial Services Regulatory Authority of ADGM, marking a significant step in the company's strategic expansion into the Middle East.
The IPA will allow Bitcoin Suisse to provide regulated crypto financial services, including trading of virtual assets, crypto securities, derivatives, and local custody within the ADGM's well-regulated financial center.
ADGM is recognized for its comprehensive regulations in the virtual asset space, making it the largest regulated hub for virtual assets in the MENA region.
Bitcoin Suisse aims to leverage the progressive regulatory framework in ADGM to offer robust, transparent, and fully regulated crypto financial services to its international client base.

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Hackernoon

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BTCC Exchange Appoints Dan Liu As CEO Ahead Of 14th Anniversary Milestone

BTCC, a leading cryptocurrency exchange, appoints Dan Liu as its new Chief Executive Officer ahead of its 14th-anniversary milestone.
Dan Liu, with a background in both traditional finance and cryptocurrency markets, aims to continue BTCC's legacy as a pioneer in the industry while driving sustainable growth.
Liu's strategic vision has led to innovations like Tokenized Futures and Copy Trading, making BTCC more inclusive and forward-thinking in the cryptocurrency space.
Under Liu's leadership, BTCC plans to focus on global expansion, community engagement, and educational initiatives to maintain its position as a trusted and innovative exchange.

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Tech Radar

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iPhones just got Google’s best AI feature for free – and it could genuinely make me switch back from Android

Gemini Live, an AI feature previously available on Android, is now rolling out on iPhone for free, with enhanced capabilities.
iPhone users now have access to Gemini Live's camera and screen-sharing functionalities, offering new ways to interact with AI.
Gemini Live's camera feature allows users to easily show objects and ask questions without descriptions, enhancing tasks like cooking with real-time assistance.
The full rollout of Gemini Live on iOS is expected to bring a new level of AI interaction to iPhone users, potentially revolutionizing how they engage with their devices.

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Zazz

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Image Credit: Zazz

Best DevSecOps Tools for Cloud Security in 2025

DevSecOps has become essential in ensuring security is integrated into every stage of software development, particularly in cloud environments.
DevSecOps tools automate security tasks, detect vulnerabilities early, and maintain application security throughout the lifecycle.
Benefits of using DevSecOps tools include faster vulnerability detection, automated compliance checks, risk mitigation, scalable security practices, and improved collaboration.
Top DevSecOps tools for cloud security in 2025 include Snyk, Aqua Trivy, Checkov, Tenable Cloud Security, Prisma Cloud, and others.
These tools offer features like vulnerability management, runtime protection, IaC scanning, and automated security testing for cloud-native environments.
DevSecOps tools empower teams to secure applications efficiently and collaborate effectively across development, operations, and security teams.
Certifications like AWS Certified Security – Specialty and GIAC Cloud Security Automation are recommended for cloud security roles using DevSecOps tools.
Basic coding skills are beneficial for utilizing DevSecOps tools effectively, although not always mandatory.
DevSecOps differs from DevOps by integrating security practices into the entire software development process to prevent vulnerabilities post-deployment.
To excel in cloud security with DevSecOps, gaining hands-on experience, earning relevant certifications, and joining related communities are advisable.

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Sdtimes

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The past, present and future of chatbots

Chatbots have been around for decades, with the earliest version, ELIZA, released in 1967 as a simple rules-based program.
Jabberwocky in the 1980s enabled voice interaction, while A.L.I.C.E. in the 1990s allowed responses to prompt to inform future responses.
The shift from rules-based chatbots to data-driven models was driven by advancements in compute power and availability of data.
The development of large language models like ChatGPT, using GPT-3 architecture, enabled more varied and conversational responses.
Open-source machine learning libraries like PyTorch and TensorFlow have made developing chatbots more accessible for businesses.
Cost remains a barrier for heavy-duty chatbot use cases, with the need to consider GPU usage and model parameters.
Multi-modal models are the future of chatbots, allowing interactions through text, speech, imagery, video, and audio, enhancing creative capabilities.
Retrieval augmented generation (RAG) architectures empower chatbots to draw on proprietary data for advanced enterprise use cases.
As chatbots evolve with technologies like RAG systems and AI agents, the innovation potential for organizations is vast, promising efficiency gains.
In the future, multi-modal models and evolving technologies will continue to enhance the capabilities and efficiency of chatbots in various industries.

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Netflixtechblog

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FM-Intent: Predicting User Session Intent with Hierarchical Multi-Task Learning

FM-Intent is a novel recommendation model introduced by Netflix to predict user intents and enhance next-item recommendations through hierarchical multi-task learning.
The model aims to enrich the understanding of user sessions by incorporating the prediction of underlying user intents, offering a more nuanced recommendation experience.
FM-Intent utilizes implicit signals from user interaction metadata to predict various user intents related to actions, genre preferences, movie/show types, and time-since-release.
The model architecture of FM-Intent involves three main components: input feature sequence formation, user intent prediction using a Transformer encoder, and next-item prediction with hierarchical multi-task learning.
Experimental validation shows that FM-Intent outperforms state-of-the-art models, including Netflix's foundation model, in next-item prediction accuracy.
FM-Intent generates meaningful user intent embeddings for clustering users with similar intents, providing valuable insights into user viewing patterns and preferences.
The model has been integrated into Netflix's recommendation ecosystem, allowing for personalized UI optimization, enhanced recommendation signals, and search optimization based on user intent predictions.
By understanding user intents beyond next-item prediction, FM-Intent enhances Netflix's recommendation capabilities, delivering more personalized and relevant content recommendations.
The model's hierarchical multi-task learning approach and comprehensive experimental results demonstrate its effectiveness in improving recommendation accuracy and user experience.
FM-Intent signifies a significant advancement in Netflix's recommendation system, emphasizing the importance of user intent prediction for providing satisfying and tailored recommendations.

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Engadget

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Microsoft blames Apple for Xbox mobile store delays

Microsoft attributes the delay of the Xbox mobile app store to Apple's App Store rules, which prevent users from buying Microsoft mobile games through the Xbox web store on iOS.
In an amicus brief supporting Epic Games in their battle against Apple, Microsoft expresses concerns about Apple potentially overturning the injunction allowing payments outside of apps that bypass Apple's 30 percent fee.
Apple has filed an appeal against the injunction and requested the Ninth Circuit to halt enforcement of the ruling, while Microsoft is pushing for enforcement of the injunction during the appeal.
Microsoft aims to launch its own online store for in-app items to work around Apple's restrictions, but Apple's actions could hinder this effort.

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Medium

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A Sound Investment: The Echo-nomics Transforming Battery Diagnostics

High scrap rates in new facilities have reached up to 90%, costing the industry millions and hindering scalability.
Sention Technologies offers a diagnostic solution to improve battery production, reduce waste, and provide actionable insights for design and manufacturing.
Their Cell Intelligence Platform utilizes advanced techniques like ultrasonic Time-of-Flight measurement to detect defects early, streamlining production.
Co-founded by battery experts, Sention Technologies' innovative approach aims to revolutionize battery manufacturing by enhancing efficiency and sustainability.

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355

Image Credit: Fb

Journey to 1000 models: Scaling Instagram’s recommendation system

Instagram has successfully scaled its recommendation system to include over 1000 ML models while maintaining quality and reliability.
The algorithm involves multiple layers of ranking funnels, constant experimentation, and a large number of models serving user traffic.
Challenges in scaling included infra maturity lagging behind, slow model launches, and lack of consistent model quality definitions.
Solutions implemented included a model registry, automated model launch flow, and defining model stability metrics for all models.
The model registry streamlined model importance and business function information, improving operational response efficiency.
Implementing criticality levels based on incident severity and automation tools for launch processes enhanced productivity and reliability.
Model stability metrics were introduced to measure prediction accuracy, addressing issues faster and leading to higher-quality recommendations.
Lessons learned included the importance of infra understanding, enabling rapid model iteration, and ensuring reliability considers model quality.
Building robust tools and processes has not only improved operations but also empowered colleagues to drive innovation and growth.
The focus on quality and collaboration has been instrumental in Instagram's successful journey of scaling its recommendation system.

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VentureBeat

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OpenAI updates its new Responses API rapidly with MCP support, GPT-4o native image gen, and more enterprise features

OpenAI has released significant updates to its Responses API, introducing support for remote Model Context Protocol servers, image generation tools, and more enterprise features.
The Responses API, launched in March 2025, allows developers to build agentic applications leveraging technologies from AI services like ChatGPT and OpenAI's own AI agents.
Popular applications built with the API include coding agents, market intelligence assistants, and educational platforms.
The API combines elements from Chat Completions and Assistants API, offering built-in tools for web and file search, computer use, and autonomous workflows.
One key addition is support for remote MCP servers, enabling developers to connect OpenAI's models to external tools and services for seamless interaction.
The update introduces a new image generation model, 'gpt-image-1,' offering real-time streaming previews and multi-turn refinement.
The Code Interpreter tool is now integrated into the API, improving model performance in data analysis, math, and logic-based tasks.
Enhancements in file search functionality include searches across multiple vector stores and attribute-based filtering for relevant content retrieval.
Enterprise features like background mode for asynchronous tasks, reasoning summaries, and encrypted reasoning items cater to specific business needs.
New capabilities are supported across OpenAI's GPT-4o series, including o3 and o4-mini models, improving response accuracy and efficiency.

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Sdtimes

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Anchore SBOM, Komodor integrates into IDPs, and Shopify’s new dev tools – SD Times Daily Digest

Anchore released Anchore SBOM, allowing centralized management and analysis of SBOMs from internal and third-party sources in specific formats.
Komodor integrated into IDPs to simplify Kubernetes operations by providing real-time service status, troubleshooting, monitoring, access control, and fleet management capabilities.
Shopify introduced a new developer platform merging Dev Dashboard and CLI, featuring AI-powered code generation and dev stores for app preview, along with declarative custom data definitions and Storefront MCP for building shopping assistants.

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CSS-Tricks

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SVG to CSS Shape Converter

Temani Afif has created an extensive collection of CSS shapes with tools to generate them dynamically.
He has transitioned to using the shape() function over the path() function for creating complex shapes.
With the shape() function, generated CSS shapes provide more concise and readable code compared to path() commands.
The converter transforms SVG path coordinates into shape() commands, aiding in understanding and utilizing shape() more effectively.

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