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I asked my AI agent where the retry logic lived. Four seconds later: three files, one shared helper, a comment linking to a Slack thread that doesn't exist anymore. Found it cleanly. Then I asked why the retry count was capped at three instead of five. Silence, then a guess. It could find the code. It had no idea why the code said what it said. Two failures wearing the same complaint — "the AI doesn't know this project." One's a search problem. The other's a memory problem. I'd alrea...

Building Docxion: An Open-Source Office Document Viewer for Android and the Web Viewing a PDF inside an application is relatively straightforward. Viewing Microsoft Office documents is a different story. DOC, DOCX, XLS, XLSX, PPT, and PPTX all come with their own rendering challenges. If you want users to open these documents directly inside your application, you quickly end up choosing between complicated rendering stacks, external applications, proprietary SDKs, or solutions with lic...

Something interesting is happening in AI-assisted software development. We are getting very good at giving an AI agent a repository and a problem and letting it figure things out. The agent can explore the codebase, understand dependencies, make changes, run tests, interpret failures and continue working until it reaches a result. That is already changing the role of the developer. But there is another change happening underneath it that I find even more interesting. We are beginning...

Introduction In the previous articles, we learned how to write analysis and transformation passes with LLVM. We started with a simple pass that counts, in a given module, how many add instructions there are. Next, we saw a simple implementation of Dead code elimination optimization and constant propagation. Our focus was on practicality: we simplify by making a few assumptions and start showing the code while keeping the theory to a minimum. We are keeping the same focus here: being pr...

The easiest performance win in React isn't always your JavaScript. Sometimes it's your images. I used to think performance optimization meant splitting bundles, memoizing components, and chasing Lighthouse scores. Then I opened Chrome DevTools on one of my own React projects. The result? Images were quietly eating most of the page weight — way more than my JS bundle, my fonts, everything else combined. A hero banner that looked perfect on my laptop was making mobile users download a ...

Every LLM endpoint's landing page says fast, reliable, compatible, secure. Those words are free. This is the list of questions that aren't free — the ones where the answer takes a vendor real work to be able to give, and where you can verify the answer yourself in an afternoon. Disclosure up front: I work on daoxe , a multi-model gateway. At the end I run this checklist against it, and two rows don't pass. That's the point of publishing it — a checklist that flatters whoever wrote it isn't...

Docker শিখতে গেলে সবচেয়ে গুরুত্বপূর্ণ জিনিসগুলোর একটি হলো Dockerfile । অনেকে Dockerfile-কে শুধু কয়েকটি command-এর file হিসেবে দেখে: FROM node:22 COPY . . RUN npm install CMD ["npm", "start"] কিন্তু আসলে Dockerfile-এর প্রতিটি instruction-এর পেছনে একটি নির্দিষ্ট ধারণা আছে। কেন FROM লাগবে? COPY আর ADD -এর পার্থক্য কী? RUN আর CMD কি একই জিনিস? CMD এবং ENTRYPOINT কখন ব্যবহার করব? ARG আর ENV কখন? কেন COPY package*.json ./ আগে ল...

Understanding Statistical Distributions and Their Impact on Data Science In the world of data science, data is the foundation of every decision, model, and prediction. However, raw data on its own often appears chaotic and difficult to interpret. This is where statistical distributions become important. Statistical distributions help data scientists understand how data is spread, identify patterns, and make informed decisions based on probabilities. Without understanding distributions, analy...

The page fires at 02:13. A student cannot sign in, support is asleep, and the dashboard shows a healthy login endpoint. The missing signal was earlier: a verification code was requested repeatedly, then never accepted. That is a delivery and recovery problem, not merely a choice between two input fields. Short answer: email and phone verification protect different security boundaries, so choose based on identity stability, abuse exposure, and the recovery path you can operate when delivery fa...

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Abstract Eleven years ago, the Dataflow Model paper argued that unbounded, out-of-order data was the new normal, and that we must stop waiting for data to ever become complete. It proposed a unified model (windowing, triggers, watermarks, and retractions) for freely trading off correctness, latency, and cost across batch and streaming engines. On the occasion of its VLDB Test of Time award, we grade our own work—a paper about streaming analytics, in truth if not in name—on what aged well, what...

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Article URL: https://www.politico.com/news/2026/09/06/kennedy-ai-developers-high-iq-stupid-people-01066756 Comments URL: https://news.ycombinator.com/item?id=49600305 Points: 5 # Comments: 1

Article URL: https://brothelnevada.com/2026/09/05/ai-replace-sex-workers/ Comments URL: https://news.ycombinator.com/item?id=49600438 Points: 1 # Comments: 0

Article URL: https://buildyard.ai/ Comments URL: https://news.ycombinator.com/item?id=49600896 Points: 2 # Comments: 0

Article URL: https://huggingface.co/blog/webgpu-kernels Comments URL: https://news.ycombinator.com/item?id=49600945 Points: 1 # Comments: 0

Article URL: https://www.honest-broker.com/p/10-brutally-honest-predictions-on Comments URL: https://news.ycombinator.com/item?id=49601043 Points: 4 # Comments: 1

Article URL: https://github.com/vstorm-co/agenticos Comments URL: https://news.ycombinator.com/item?id=49601142 Points: 1 # Comments: 0

Article URL: https://kevinkelly.substack.com/p/arguments-in-favor-of-ai-fair-use Comments URL: https://news.ycombinator.com/item?id=49601148 Points: 3 # Comments: 0

Article URL: https://beseen.so Comments URL: https://news.ycombinator.com/item?id=49601248 Points: 1 # Comments: 1

Article URL: https://sg.finance.yahoo.com/news/adobe-ends-18-era-ai-191300355.html Comments URL: https://news.ycombinator.com/item?id=49601269 Points: 3 # Comments: 1

Just a small game I coded up for research. After some limited tests, people tend to pick the AI-written post as the real one more than 55% of the time, almost 60%. So apparently LLMs kinda pass the Turing test when it comes to social media posts and not even general social media posts, but posts of a specific user!? Comments URL: https://news.ycombinator.com/item?id=49601299 Points: 1 # Comments: 0

Article URL: https://www.bottlenecklabs.com/blog/benchmarking-7-autonomous-businesses Comments URL: https://news.ycombinator.com/item?id=49601338 Points: 89 # Comments: 99

Article URL: https://www.wsj.com/tech/ai/the-ai-shift-turning-everyday-investors-into-mini-quant-funds-ebe4d45f Comments URL: https://news.ycombinator.com/item?id=49601367 Points: 1 # Comments: 0

I’m trying to balance API costs and latency in my applications. Right now, I default to frontier models (Claude Sonnet) because they are reliable, but I know I’m overpaying for tasks that smaller models (like Haiku, or lite open source models) could likely handle. Comments URL: https://news.ycombinator.com/item?id=49601670 Points: 1 # Comments: 0

Article URL: https://www.youtube.com/watch?v=lKoJJxjUfdw Comments URL: https://news.ycombinator.com/item?id=49601671 Points: 1 # Comments: 0

Article URL: https://arxiv.org/abs/2402.07510 Comments URL: https://news.ycombinator.com/item?id=49601706 Points: 2 # Comments: 0

Article URL: https://smarterarticles.co.uk/botsitting-the-unpaid-labour-behind-every-ai-productivity-claim Comments URL: https://news.ycombinator.com/item?id=49601734 Points: 2 # Comments: 0