Specialized search for programming

just now (302+ words) Digital products have evolved far beyond static interfaces. Modern users expect dynamic visuals, smooth animations, and immersive interactions that mirror real-world physics. This expectation has pushed developers, designers, and even product teams to explore Visual Effects (VFX) as a strategic tool for elevating user experience. In web and mobile product innovation, VFX has become a powerful differentiator. With SaaS landing pages to gaming apps, fintech dashboards to educational platforms, strategic VFX boosts engagement, improves retention, increases perceived value, and strengthens brand memorability. Let's walk you through the technical, creative, and performance-oriented strategies required to implement VFX safely and intelligently. Whether you're working with a cross-platform framework, experimenting with WebGL, or developing high-performance interactive apps, this is your starting point. First clarify why you're adding them. Great VFX guides attention, adds meaning, supports storytelling, and enhances perceived quality. Poor VFX distracts…...

7+ min ago (382+ words) A complete, practical, industry-level roadmap for becoming an AI engineer who can build real products using LLMs, RAG, agents, fine-tuning, and cloud deployment. AI Engineering is evolving faster than any other technical field " and the role today is very different from the classic "data scientist" or "ML researcher." In 2025, AI Engineers are builders. They take powerful pretrained models and turn them into real, production-ready AI systems. If you're starting your journey, this roadmap breaks down exactly what you need to learn, what you don't, and how to build a portfolio that gets you hired. No fluff. Only actionable skills. AI Engineering is not about training huge models from scratch. You do not need deep mathematical knowledge, GPU clusters, or research-level ML. Instead, AI Engineering focuses on: Modern AI models (GPT, Llama, Mistral, CLIP, SAM, Whisper, etc.) are already incredibly powerful. Your…...

18+ min ago (293+ words) West Palm Beach, FL " 12/1/25 " YungPoints, a new offerwall and rewarded engagement platform, announced its official launch today, bringing a fresh, straightforward approach to app and website monetization. While most offerwalls have limited international offers, lackluster iOS performance, and heavy SDKs. YungPoints removes all the friction by delivering a fully functional offerwall API. YungPoints helps apps, websites, and business owners increase loyalty and maximize revenue. "Developers are exhausted by weak offerwall performance, particularly on iOS. Website owners need new revenue channels. And everyone"from devs to webmasters"is striving to increase user loyalty," said Jj Current, Creator and Co-Founder of YungPoints. "We built YungPoints so small business owners can launch an A/B split test in minutes." What Makes YungPoints Different These are the real, tangible advantages for website owners, mobile game publishers, and loyalty platforms: 1. Managed Offer Feed YungPoints curates…...

18+ min ago (76+ words) [Techmeme permalink] Anthropic: Anthropic's employees self-report using Claude in 60% of work and achieving a 50% productivity boost, often using it for debugging and code understanding, more" " Key findings" " How is AI changing the way we work?" Our previous research on AI's economic impacts looked at the labor market as a whole " This is a Techmeme archive page. It shows how the site appeared at 4:15 PM ET, December 2, 2025....

24+ min ago (319+ words) For these companies, AWS today launched Nova Forge, a new service that allows businesses to bring their own data to AWS's own Nova models, starting with Nova 2 Lite (it won't work with any other models). They will have to pay $100,000 per year for the privilege, though. AWS calls this idea "open training," though it's worth noting that the Nova models are not open-weight or open source models. Nova Forge gives users access to pre-, mid-, and post-trained Nova models and lets them mix in their proprietary data and Amazon-curated datasets at each of these stages. Ideally, this means that the model will retain all of its existing knowledge, but now also has a better understanding of a given organisation's specific needs and knowledge base. That's useful, especially for use cases where the knowledge base doesn't change frequently, in which case, a…...

26+ min ago (544+ words) UPDATED 16:07 EST / DECEMBER 02 2025 OpenAI Group PBC Chief Executive Officer Sam Altman reportedly declared "code red" in a memo sent to the company's employees on Monday. The Wall Street Journal and The Information reported the internal announcement today. The publications' sources also provided new details about OpenAI's development roadmap. The company is reportedly working on a personal assistant, advertising features and a new flagship reasoning model. "We are at a critical time for ChatGPT," Altman reportedly wrote in the Monday memo. He informed staffers that OpenAI will work to improve the artificial intelligence service's response speed, reliability and personalization options. The company also plans to broaden the range of questions that ChatGPT can answer. Nick Turley, OpenAI's head of ChatGPT,wrote on X that "our focus now is to keep making ChatGPT more capable, continue growing, and expand access around the…...

30+ min ago (406+ words) In this post, I'm explaining why I'm starting it and what you can expect. The short answer is that I'm starting the newsletter because I'd love to read it, and there's nothing like it around. The longer answer is that these topics matter to me. Accessibility is a big part of my life, as you might know if you've read my blog posts, seen me speak at events, or followed me on social media. I'm also queer, and many of the issues I'm discussing are from what I've either experienced or witnessed. However, I'm not an expert on everything, and this is also me learning in public. The first section explains the problem the newsletter issue covers, giving examples of what happens and describing why it's a problem. Depending on the problem, it might be more about code or about…...

31+ min ago (238+ words) Think of your app like a big office building with 200+ rooms (screens). Redux is the central storage room where shared files are kept. You NEVER mix files from different floors. Each floor manages its OWN files. The building manager (store) just connects all floors. Each feature folder contains everything it needs: Makes deleting or moving a feature VERY easy. Root store only cares about: Only truly global state sits here. When a new feature arrives: Good for large enterprise apps that need unified loading/error handling. Best for auto caching, invalidation, etc. If business logic is complex. Each feature = 1 slice. Its cleaner, faster, less boilerplate. Feature folders should be independent. If a feature like Users grows big, you absolutely can have multiple slices inside the same feature. Let me explain it in the simplest, cleanest way. Think of the feature…...

33+ min ago (548+ words) Amazon Web Services (AWS) is bulking up its AI agent platform, Amazon Bedrock AgentCore, to make building and monitoring AI agents easier for enterprises. AWS announced multiple new AgentCore features on Tuesday during the company's annual AWS re:Invent conference. The company announced new tools for managing AI agent boundaries, agent memory capabilities, and agent evaluation features. One upgrade is the introduction of Policy in AgentCore. This feature allows users to set boundaries for agent interactions using natural language. These boundaries integrate with AgentCore Gateway, which connects AI agents with outside tools, to automatically check each agent's action and stop those that violate written controls. Policy allows developers to set access controls to certain internal data or third-party applications like Salesforce or Slack. These boundaries can also include telling an AI agent they can automatically issue refunds up to $100 but…...

33+ min ago (628+ words) Simular, a startup building AI agents for Mac OS and Windows, has raised a $21.5 million Series A led by Felicis, with existing seed investors NVentures (NVIDIA's venture arm), South Park Commons, and others joining in." Another reason to watch Simular is the bona fides of the founders: Li is a continuous learning scientist who previously worked at Google's DeepMind, where he met his cofounder, reinforcement learning specialist Jiachen Yang. While their team published their fair share of papers, the work wasn't strictly academic, Li said. It was intended to improve Google products, including Waymo. That AI product background is helpful because, before the agentic future of Silicon Valley's dreams can materialize, there are a host of technical problems to solve.One of the biggest is that LLMs hallucinate some percentage of the time. Agentic tasks can require completing thousands to…...