The narrative around the major models today seems amazing on the face of it. Consider this article from Anthropic describing how far Claude has come and how much Anthropic code agents write now: When AI builds itself \ Anthropic If you are new to software and systems engineering or if you have only a superficial knowledge of it, then you may have missed the most important line in that article. So, I'm going to point it out to you. This is it: “Good code” means two things: it works, and it is written in a manner that allows another engineer to understand it and build upon it. Why is that line the most important? Because, that definition is, by far, the lowest bar I've ever seen an experienced software or system engineer set for "good code." There is so much more to engineering software than that. We care, for example, about total cost of ownership. So, we learn from work on technical debt, originated with Ward Cunningham, that quick fixes create future maintenance costs, that system complexity increases engineering effort, and that architectural debt often dominates long-term ownership costs. From Kent Beck, we learned how to avoid tangling our architectures, when he told us to "Make the change easy, then make the easy change." Many of our industry's luminaries warned us off of complexity, including Fred Brooks, John Gall, Sandi Metz, and more. Others have taught us that it isn't about the code itself. For example, Rob Pike taught us how important it is to get the data models right and Melvin Conway taught us about the impact of human communication on system design. These are but a few examples of the maxims every engineer needs to know, and understand, to build cost-effective, quality software and systems that meet functional and non-functional requirements. And this is where the model of AI agents building independently falls down. For engineers, we don't think about these specific rules every time we write code. We develop the "muscle memory" over time. We are int

I’m learning Spring Boot and want to understand how to connect my backend API to a frontend using only vanilla HTML, CSS, and JavaScript first. What would be a good learning path and where can i start? submitted by /u/ThenParamedic4021 [link] [留言]

The FTX co-founder is serving a 25-year sentence, doled out in 2024.

The popular wildfire tracking app is adding flood monitoring to its platform. It’s the first new disaster alert on the service, with many more to come.

Virtua Fighter Crossroads isn't an outright reboot of Sega's biggest fighting series.

I have 4 years of experience as a React Native and Node.js developer. I am comfortable with REST APIs, async/await, JSON, MongoDB, authentication, and shipping production apps. I am based in India. What I have learned so far: I recently completed an AI/LLM course that covered: • Pydantic (validation, models, serialization) • LLM theory (transformers, embeddings, attention, tokenization) • OpenAI and Gemini API integration • Prompt engineering (zero-shot, few-shot, CoT, persona prompting) • Prompt formats (ChatML, Alpaca, INST) • Ollama for local LLMs • FastAPI basics • Hugging Face model deployment • Agentic AI fundamentals — built a basic CLI coding agent What I understand conceptually: I understand that an AI agent = LLM brain + tools (Python functions) + agent loop + memory (messages list). I understand RAG, vector databases, the difference between fine-tuning and RAG, and how to structure a backend with Node.js calling a Python AI agent service when needed. What I want to do: I want to transition into Agentic AI / AI Engineer roles in India. I am not looking to become an ML researcher or train models. I want to build production AI agent systems — connecting LLMs to real business data, building tools, RAG pipelines, and shipping real products. My specific questions: 1. Is my current foundation strong enough to start building real agent projects or do I have gaps I am missing? 2. What should my learning roadmap look like for the next 3–6 months given my background? 3. Which frameworks should I prioritise — raw OpenAI API first, then LangChain/LangGraph, or jump straight to frameworks? 4. What kind of projects should I build for a strong portfolio targeting ₹20–35 LPA roles in India? 5. Any specific subreddits, communities, or resources beyond YouTube that helped you in this transition? My planned first 3 projects: • Simple agent with web search + calculator tool (no DB) • Agent connected to MongoDB with RAG • Full FastAPI backend wrapping the agent with a React fr

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the "it's a gimmick" takes miss how the actual business works. you build one consistent ai character (needs real model training, not just prompting), run it like a normal social account, monetize through subscription/content platforms. the advantage isn't that it's better than a human creator, it's that the content costs basically nothing to make, it never burns out, and one person can run several at once. the part people underrate: consistency is genuinely hard, and the money's in managing the audience relationship, not the content itself. content's the easy part. bigger picture that interests me — when making content costs near zero, the whole bottleneck shifts to distribution and trust. that goes way beyond this niche. curious how people think this shakes out for creators in general. submitted by /u/PoleTV [link] [留言]

French authorities have fined Nintendo around $40m over faulty Joy-Cons.

Pinterest introduced MIQPS, a URL normalization system that identifies which query parameters affect page identity using rendered content fingerprints. It reduces duplicate processing across millions of domains by replacing rule-based approaches with offline analysis, anomaly detection, and runtime parameter maps, improving ingestion efficiency and scalability in large-scale content pipelines. By Leela Kumili

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Hackers likely took over 20,225 Instagram accounts using Meta's AI support chatbot, the company confirmed in a notice filed with the state of Maine. In the notice, spotted earlier by Bleeping Computer, Meta blames a "bug" for the exploit that allowed attackers to hijack accounts without two-factor authentication simply by asking the chatbot for a […]

Here's where you can watch Christopher Nolan's 'The Odyssey' in jaw-dropping IMAX 70mm.

Hey all, we have a quick update for everyone who participated in the GitHub "Finish-Up-A-Thon"...

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