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Mechanics Behind Async Iterators and For-Await-Of in JavaScript

JavaScript treats asynchronous values and iterable behavior as separate until used with for-await-of loop, where they come together.
An object is iterable when it has a method tied to Symbol.iterator that returns an object with a .next() method.
Async iterators are similar, but the .next() method returns a Promise, making the loop wait for Promise resolution.
for-await-of loop uses Symbol.asyncIterator to handle Promises and values with done flags.
Async generators combine yielding values like regular generators with waiting on Promises, allowing for pausing and waiting during execution.
The for-await-of loop waits for each yield from an async generator, allowing values to be processed as they arrive.
JavaScript engine turns async generators into paused state machines, enabling natural pause and resume functionality without manual handling.
Code within the for-await-of loop is paused using microtasks while waiting for Promises, ensuring asynchronous loops remain responsive.
for-await-of loop throws exceptions for rejected Promises, and the entire loop structure should be inside a try block to catch errors.
If a loop exits early, the engine checks for a .return() method in the iterator to clean up resources before finishing.

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Engadget

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Apple claims it's not blocking Epic from offering Fortnite in the EU

Apple claims it's not blocking Epic from offering Fortnite in the EU, according to a report from Bloomberg.
Apple says it did not take any action to remove the live version of Fortnite from alternative distribution marketplaces and wants Epic's European branch to resubmit the latest game update for publishing.
Epic CEO Tim Sweeney was hoping to relaunch Fortnite on the US App Store following a court victory, but Apple seems to be specific about not wanting Fortnite on the US App Store.
Fortnite was initially removed from the App Store due to Epic's attempt to skip Apple's in-app payment system, part of a larger plan to challenge the control of platforms like Apple and Google.

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Medium

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The Cost of Reflection on JVM Performance and Internal Access Checks

Calling a method reflectively in Java involves multiple internal steps on the JVM, including method lookup, creation of Method object, bytecode generation, and access checks.
Unlike direct method calls, reflective calls incur additional runtime work and checks, slowing down the process.
Direct method calls benefit from JIT compiler optimizations like inlining, which reflective calls lack due to runtime method determination.
Reflective calls involve argument conversion processes, boxing and unboxing of primitive types, leading to performance overhead.
Reflection in Java allows accessing private state through setAccessible(true), bypassing normal access controls, which was widely used in frameworks.
Java Platform Module System introduced boundaries for access control, requiring explicit declarations for reflective access, impacting frameworks relying on deep reflection.
Introduction of modules shifted the access control paradigm, making reflective access dependent on module-level permissions rather than setAccessible(true) alone.
Java deprecated the --illegal-access option, now enforcing access restrictions defined by module declarations, affecting reflection-heavy tools and frameworks.
Frameworks adapted by using new alternatives like sun.misc.Unsafe or VarHandle when faced with restricted reflective access due to module boundaries.
Reflection in Java continues to be used but with considerations for module-level boundaries and explicit permissions post-Java 9.
Understanding the complexities of reflective access in the context of Java modules helps navigate the limitations and requirements imposed by the JVM.

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Medium

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RAG Powered AI App : How To Integrate REST API For REAL TIME Data for Knowledge Base (Line by Line…

The AI application demonstrates the interaction with a RESTful API server to obtain real-time data for use in Gemini Pro LLMs through Pinecone-powered RAG.
The tutorial covers the process flow from frontend to backend and showcases a RESTful server with over 4000 question-answer pairs from various categories.
Key aspects include sending GET requests to live API endpoints, parsing JSON for embeddings, managing large API responses with batch size, generating embeddings stored in Pinecone Vector DB, utilizing Gemini Pro LLM for response accuracy, and integrating knowledge from multiple sources.
The upcoming Part 21 will delve into integrating a time-series database, catering to developers, ML enthusiasts, researchers, and those interested in enhancing their applications with live web knowledge.

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Dev

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Max Mode in Cursor: Power, Access, and Missing Controls

Max Mode in Cursor allows users to access powerful models like GPT-4o and Claude Opus with expanded context and smarter completions, but lacks admin controls, prompting concerns over potential costs and unauthorized usage.
Any user can enable Max Mode without admin settings or permission gates, leading to immediate billing to the workspace without clear alerts or usage caps.
Max Mode operates on a usage-based pricing model, charging per token and billing usage directly to the shared workspace account, potentially causing surprise charges for enterprise teams.
Lack of admin controls in Max Mode poses challenges for enterprise accounts, including insufficient access control, budget safeguards, and compliance blind spots.
Suggestions include implementing role-based access controls, workspace-wide toggles, soft and hard usage caps, and project-specific allowances to mitigate risks associated with Max Mode.
In comparison to similar tools like GitHub Copilot and Cody, Cursor could enhance control features to align with enterprise needs, improving model access restrictions and usage analytics.
Workarounds for managing Max Mode usage currently include creating internal usage policies, assigning monitoring responsibilities, using billing data exports, and segmenting environments for testing purposes.
While Max Mode offers significant power to technical users, Cursor's rollout lacks essential admin toggles, usage caps, and real-time visibility, warranting caution in its adoption within larger teams.
Considering the potential risks and benefits of Max Mode, proactive management strategies such as monitoring usage, educating teams, and possibly restricting access through policies are recommended.
Further development of admin toggles, usage caps, and enhanced monitoring tools by Cursor could improve the suitability of Max Mode for broad implementation within enterprise environments.
To navigate the complexities of Max Mode usage effectively, staying informed about its implications, monitoring usage closely, and considering preventative actions can help organizations maximize its benefits while minimizing risks.

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Medium

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Leetcode #88 — Merge Sorted Array from Naive to Optimal Solution

Merge two sorted integer arrays nums1 and nums2 in-place.
Input: nums1, nums2, m, n where nums1 has m+n length and nums2 has n elements.
Constraints: nums1 and nums2 are already sorted in non-decreasing order.
Code implements merging nums2 into nums1 from the end by comparing elements.

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Dev

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Why Blockchain was developed ?

Blockchain was developed to enhance transparency, security, and trust among people.
The early history of blockchain dates back to 1982 when David Chaum proposed a blockchain-like protocol, followed by Stuart Haber and W. Scott Stornetta's development of a cryptographically secured chain of blocks in 1991.
The breakthrough came after the 2008 America's financial crisis when Satoshi Nakamoto released the Bitcoin White Paper in 2009, challenging centralized banking systems and introducing a more secure and transparent data exchange system.
Blockchain technology evolved further post-2008 crisis, with the launch of Ethereum Frontier Network in 2015 and the emergence of different digital currencies, marking a significant advancement in the field.

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Lambdatest

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21 Best VS Code Extensions to Boost Your Productivity

VS Code extensions play a crucial role in enhancing coding efficiency for developers.
LambdaTest VS Code Extension enables real-time cross-browser testing within the VS Code Editor.
Live Server extension provides a local development server with live reload feature.
Remote - SSH extension simplifies development by using a remote machine with an SSH server.
Peacock allows customization of color in the Visual Studio Code environment.
Snippet extension offers ready-to-use code snippets for various programming languages.
VS Code extensions like CSS Peek and Prettier aid in CSS management and code formatting.
Extensions like GitLens and Import Cost enhance Git functionalities and package size management.
GitHub Copilot revolutionizes code development by providing intelligent code suggestions.
ChatGPT Helper lets developers interact with GPT-3.5 or GPT-4 models within the editor.

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Sdtimes

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AI updates from the past week: OpenAI Codex, AWS Transform for .NET, and more — May 16, 2025

OpenAI introduced Codex, a versatile cloud-based agent capable of simultaneously handling various tasks like writing features, bug fixes, and proposing pull requests.
Currently, Codex is in a research preview for specific user tiers with plans for expanding its availability.
Amazon unveiled AWS Transform for .NET, an AI tool aiding in modernizing .NET applications by automating complex migration tasks.
Anthropic launched a bug bounty program to enhance safety measures, focusing on identifying vulnerabilities in safety classifiers.
GitLab integrated AI capabilities from Duo, enhancing code suggestions and chat functionalities for Premium and Ultimate users.
Boomi released Boomi Agentstudio, facilitating no-code AI agent management and integration with Amazon Q Business for comprehensive knowledge utilization.
CodeRabbit introduced AI-powered code review into Visual Studio Code, fostering early-stage AI integration into code development.
Zencoder's Zen Agents offer customizable AI solutions that align with developers' specific needs through a community-driven open-source marketplace.
Anaconda launched a unified AI platform, streamlining AI development processes by providing pre-configured environments tailored for various development needs.
Parasoft enhanced SOAtest by integrating agentic AI capabilities to assist with test scenario generation, enabling comprehensive testing without advanced scripting knowledge.

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Tech Radar

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Bono says Apple wants to make the Vision Pro 'more affordable', so what's the holdup?

The Apple Vision Pro remains a top mixed-reality experience but is too expensive for most at $3,499.
Contestants on Price is Right guessed prices of $750 to $1,250 for the Vision Pro, showing lack of awareness about its high cost.
Bono, in a recent interview, mentioned Apple's desire to make the Vision Pro 'more affordable' and 'more democratic'.
Rumors suggest Apple may release a cheaper version (Vision Lite) rather than lowering the price of the current Vision Pro model.
The current price of $3,500 makes the Vision Pro a significant investment, comparable to a vacation or luxury items.
While Bono believes people will eventually be able to afford the Vision Pro, the high price remains a barrier for many consumers.
The Vision Pro offers an exceptional experience, but its cost limits accessibility to a broader audience.
Apple's commitment to innovation and experimentation may lead to future offerings that are more affordable and accessible.
Recommendations include experiencing the Vision Pro at an Apple Store to understand its value, despite the high price.
Despite Bono's comments, the current pricing of the Vision Pro poses a challenge for widespread adoption in the near future.

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Medium

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AI’s Impact on Business Software Development — Moving Up the Abstraction Ladder

Business software development is undergoing a fundamental shift due to the integration of AI tools and large language models in every phase of software development process.
This shift emphasizes intent over implementation, leading to the redefinition of successful software developer profiles with focus on creativity, strategic thinking, and communication.
The productivity shift driven by AI in software development presents the opportunity to redeploy talent for generating more value, rather than just reducing headcount.
The future of software teams lies in tighter integration with business operations, leading to smaller, agile teams collaborating directly with end users to drive impactful solutions.

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Medium

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Alternative Applications of SDLC: Flexible, User-Centric, and Real-Life Aligned Approaches

In today's digital world, traditional software development life cycle (SDLC) models are no longer enough for rapidly changing user expectations and diverse products.
Alternative approaches like DevOps with CI/CD, Design Thinking, Discovery and Delivery workflows, Lean UX with Agile, no-code/low-code tools for MVPs, and open-source community-driven projects are gaining popularity.
Real-life examples include Netflix utilizing CI/CD for seamless deployments, Airbnb boosting bookings with Design Thinking, and Spotify balancing testing new features with implementing approved ones in sprints.
These alternative SDLC models prioritize user feedback, rapid iteration, and collaboration, shaping the future towards purposeful, empathetic, and agile software development.

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Insider

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An exclusive look inside the hottest legal AI startup

Harvey, a startup using generative AI to assist lawyers, aims to automate legal work efficiently.
The legal profession's reliance on rules and dense text makes it suitable for generative AI applications like Harvey.
Harvey leverages decades of legal data for training AI models to streamline tasks traditionally done by lawyers.
Generative AI tools are also being explored by consulting firms like Deloitte, EY, PwC, and KPMG to enhance efficiency.
Tim Cook benefited from the US-China tariff pause, while Google faces antitrust challenges and ChatGPT competition.
The tech industry compensation trends may not increase significantly for software engineers unless in AI roles.
Meta, Microsoft, and Amazon are among the tech giants dealing with AI-related developments and challenges.
An experiment using ChatGPT to create a summary image of tech news highlighted some challenges and inconsistencies.
The article encourages feedback from legal professionals and consultants on their experiences with AI tools like Harvey.
Readers are invited to share insights and concerns about the impact of AI on the legal and consulting industries.

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Dev

164

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$20,000 Blockchain Grant Open for African Developers: Build a Micro-Payments MVP on Fedrok Blockchain

A funding opportunity of $20,000 is open for African developers interested in creating a micro-transaction platform on the Fedrok Blockchain to address financial access challenges in Chad and Niger.
Successful applicants will receive funding, technical documentation, mentorship, access to the Fedrok Blockchain platform, and the opportunity to deploy in Chad and Niger.
The platform should focus on mobile-first micro-transactions with key features like P2P payments, USSD or SMS-based interfaces, wallet functionality, and integration with Fedrok Blockchain.
Africa-based developers with experience in blockchain, fintech, or micro-payment platforms are eligible to apply by submitting proposals by June 1, 2025, for a chance to build impactful blockchain solutions for financial inclusion in Africa.

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Knowridge

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Virtual time-freezing technology lets us see inside spinning machines

A groundbreaking technology called 'virtual time freezing' developed by researchers at Jinan University in China allows scientists to see inside spinning engines and tools with clarity even at high speeds.
Traditional methods like high-speed cameras are expensive and may result in blurry images when imaging fast-spinning objects.
The new imaging system uses a single-pixel detector and structured illumination to project synchronized light patterns onto spinning objects, capturing clear real-time images.
This technology has the potential to revolutionize industries by enabling real-time monitoring of machinery such as turbine blades, cutting tools, and jet engine fan blades without the need to stop the machines.

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