AI News Today

What's up, DocLang?

<p> Run OpenAI Codex CLI natively on Android </p> <p> <a href="https://www.producthunt.com/products/shelly-3?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1172813?app_id=339">Link</a> </p>

VS Code and JetBrains have official Claude Code IDE integration, but Visual Studio doesn't. There's an open GitHub issue with a lot of +1s so I built it myself (check out the gif in the GitHub repo for a visual example). It implements the same protocol the official plugins use, so the Claude CLI connects to it automatically. You don't configure anything, just install the extension and click Launch. The main thing it adds over running Claude in a terminal is that edits open in Visual Studio's nat

Article URL: https://www.nature.com/articles/d41586-026-01651-0 Comments URL: https://news.ycombinator.com/item?id=48548364 Points: 1 # Comments: 0

Article URL: https://asteriskmag.com/issues/14/how-long-until-ai-doesn-t-need-humans Comments URL: https://news.ycombinator.com/item?id=48548283 Points: 2 # Comments: 0

Article URL: https://www.agentverificationtheater.com Comments URL: https://news.ycombinator.com/item?id=48548247 Points: 2 # Comments: 0

We released what I've been working in the last few months: an Openclaw plugin that ecords every session, tool invocation, and prompt exchange into a local SQLite database with SHA-256 hash chain integrity, so you can verify that no events were altered or deleted after the fact. Comments URL: https://news.ycombinator.com/item?id=48548225 Points: 1 # Comments: 0

A social sync. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

Hi Hacker News. We all know about the coming and going of Claude Fable. On X/Twitter, I have been seeing a lot of discourse about the great new capabilities it has, specifically for UI and design and game development. However, I suspect a lot of this is really just because we have never tried to attempt this with Claude Opus 4.8. For example, the Three.js scenes I keep on seeing: I feel like they could have been attempted with Opus 4.8 with just a bit more effort and prompting? For example, whil

zero ai use pls Comments URL: https://news.ycombinator.com/item?id=48548060 Points: 3 # Comments: 0

<p> The AI agent that works your Salesforce Pipeline </p> <p> <a href="https://www.producthunt.com/products/katalyst?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1172798?app_id=339">Link</a> </p>

Article URL: https://pypi.org/project/subagent-fleet/ Comments URL: https://news.ycombinator.com/item?id=48547977 Points: 1 # Comments: 0

Article URL: https://www.golproductions.com/blog/we-tested-gemini-ai-agent-67-percent-commands-were-unsafe Comments URL: https://news.ycombinator.com/item?id=48547971 Points: 1 # Comments: 0

Article URL: https://arxiv.org/abs/2605.22687 Comments URL: https://news.ycombinator.com/item?id=48547956 Points: 3 # Comments: 0

Article URL: https://www.confluent.io/blog/compliant-ai-agents-stateful-stream-processing/ Comments URL: https://news.ycombinator.com/item?id=48547936 Points: 1 # Comments: 0

Article URL: https://build-small-hackathon-llm-fishing.hf.space Comments URL: https://news.ycombinator.com/item?id=48547932 Points: 4 # Comments: 1

Your AI product has pieces, cards, and screens. Nobody designed the game. Continue reading on UX Collective »

A practical method for setting how much an AI does on its own, plus six control patterns for human oversight. Continue reading on UX Collective »

A tiny robot developed by Japan's space agency operated autonomously on the moon for more than 100 minutes and sent a series of images back to Earth. The post Japan Thinks Swarms of Transformer Robots Could Explore the Moon appeared first on SingularityHub .

<p>"Write me a function that does X."<br> Everyone starts here. And the results are fine — but fine isn't the reason developers are getting dramatically faster with AI.<br> The developers getting real leverage aren't using AI as a fancy autocomplete. They're using it as a thinking partner that happens to write code.<br> Here are 5 prompts that go beyond the obvious.</p> <ol> <li>The Root Cause Debugger Most people paste broken code and ask AI to fix it. That often gets you a patch without an exp

<blockquote> <p><strong>Note:</strong> My English proficiency is limited, so I used GenAI (Kiro CLI) to help translate this post.</p> </blockquote> <p>This is the story of how I went from zero iOS development experience to building and publishing an iPhone app on the App Store, all through conversations with Kiro CLI.<br><br> From requirements definition to passing App Store review, the actual hands-on work took about half a day (the review wait time was longer than the work itself).</p> <h2> Wh

<p>Recently, I submitted a pull request to a project and had an experience that felt very different from the usual OSS workflow in the past.</p> <p>Instead of the typical back-and-forth with a human maintainer, most of the interaction in my PR came from automated systems: Copilot suggestions, Vercel-related checks, and CI-driven review comments. The maintainer eventually approved the PR with <strong>minimal direct discussion</strong>, and it was <strong>merged successfully</strong>.</p> <p>What

<p> Let AI agents build real animated slideshows </p> <p> <a href="https://www.producthunt.com/products/paneflow?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1172777?app_id=339">Link</a> </p>

Get three years of paid-tier access to GPT, Claude, Gemini, and Sonar in one app for $69.99.

Article URL: https://github.com/robert-mcdermott/phlox Comments URL: https://news.ycombinator.com/item?id=48547591 Points: 1 # Comments: 1

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): distinguish delivery routes from references</pre>

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): validate visible delivery receipts</pre>

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): record visible delivery target evidence</pre>

Article URL: https://whenwill.ai Comments URL: https://news.ycombinator.com/item?id=48547539 Points: 1 # Comments: 0

The Trump administration's decision that forced Anthropic to pull its latest cybersecurity models could be reactionary, retaliatory, or both, but the message is clear: The AI industry isn't immune from U.S. government interference.

<p>Here's a thing that catches almost everyone the first week they run a model locally. You paste a 600-line file into your shiny new local assistant, ask it to find the bug, and it confidently rewrites a function that isn't even in the part it read. No error. No warning. It just... silently dropped most of your file on the floor before the model ever saw it.</p> <p>That's not the model being dumb. That's Ollama doing exactly what it was told. By default it gives every model a context window of

<p>AWS recently introduced <a href="https://www.usage.ai/blogs/aws/database-savings-plans/" rel="noopener noreferrer">Database Savings Plans</a>, bringing a more flexible commitment model to managed database services. If you're running Amazon Timestream, especially for IoT, telemetry, observability, or time-series workloads, you might be wondering whether <a href="https://www.usage.ai/blogs/aws/database-savings-plans/" rel="noopener noreferrer">Database Savings Plans</a> can reduce your costs.</

<p>Meet <strong>Perri Comic Generator</strong>, a lightweight, single-panel comic creator that merges LLM-driven storytelling with real-time diffusion models. By pairing an Gradio frontend with a high-performance backend, Perri orchestrates a seamless pipeline: it takes a simple story seed, structures it into a panel description, generates the art, and burns the dialogue right onto the final image.</p> <p>The best part? It achieves all of this without massive, resource-heavy infrastructure. Ever

Article URL: https://arxiv.org/abs/2602.13255 Comments URL: https://news.ycombinator.com/item?id=48547462 Points: 2 # Comments: 0

<!-- SC_OFF --><div class="md"><p>Hello all! </p> <p>Half of all industrial "chatbots" are just text-to-SQL models in a trenchcoat (and the other half RAG!). I wanted to explore just how small you could make these models if you trained, evaluated, and ran inference in the exact same structured harness, leading to Cleo: a Qwen3.5-2B-Base finetune.</p> <p>Currently, some features of cleo that are only possible/useful in a unified hardel are:</p> <ul> <li>Training on the exact same gather, repair,

<pre style='white-space:pre-wrap;width:81ex'>fix(doctor): import default-agent auth profiles into sqlite (#93156) * fix(doctor): import default-agent auth profiles into sqlite * fix(doctor): type legacy config auth imports * fix(doctor): preserve auth json precedence * fix(doctor): import config auth with state-only stores Signed-off-by: sallyom <somalley@redhat.com> --------- Signed-off-by: sallyom <somalley@redhat.com> Co-authored-by: sallyom <somalley@redhat.com></pre>

<p>Sub-agents are the pattern everyone is talking about and almost nobody ships past a demo. The idea is simple: instead of asking one model one question and trusting one answer, you stand up several specialized agents, each with its own job, and make them work the problem together.</p> <p>The hard part is making that more than theater. Eleven agents that all secretly agree are just one agent with a higher bill.</p> <p>So I built a working test of the idea and pushed on it until it earned its ke

<p> Agentic development environment to run agents at scale </p> <p> <a href="https://www.producthunt.com/products/axosoft-gitkraken?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1172766?app_id=339">Link</a> </p>

<h2> PyPI Supply Chain, OWASP LLM Top 10, & eBPF Cloud-Native Security </h2> <h3> Today's Highlights </h3> <p>Today's security highlights include a critical new malicious PyPI package targeting developers, a comprehensive guide to the OWASP Top 10 vulnerabilities for LLM applications, and practical insights into leveraging eBPF for advanced cloud-native security monitoring.</p> <h2> New Malicious PyPI Package 'ColorLib' Targets Developers with Info-Stealing Malware (The Hacker News) </h2> <p>Sou

<h2> Claude LLM Execution Harnesses, RAG Rerank, & Browser-based Edge AI </h2> <h3> Today's Highlights </h3> <p>This week's top stories delve into advanced LLM orchestration with Anthropic's execution harnesses, highlight rerankers as a critical RAG pipeline upgrade, and explore practical browser-based AI for sign language recognition without cloud dependencies.</p> <h2> Anthropic Explains How Claude Builds Its Own Execution Harnesses (InfoQ) </h2> <p>Source: <a href="https://www.infoq.com/news/