TraceLab: Characterizing Coding Agent Workloads for LLM Serving
Article URL: https://syfi.cs.washington.edu/blog/2026-06-25-tracelab/ Comments URL: https://news.ycombinator.com/item?id=48722460 Points: 1 # Comments: 0
Article URL: https://syfi.cs.washington.edu/blog/2026-06-25-tracelab/ Comments URL: https://news.ycombinator.com/item?id=48722460 Points: 1 # Comments: 0
In this post, we show you how PAR built a production-ready multi-tenant LLM analytics system that enforces row-level security through a three-layer architecture: cryptographic request signing with AWS SigV4, semantic validation on Amazon Bedrock, and programmatic data isolation via Split-Plane SQL. We demonstrate how each layer operates independently to reduce the risk of cross-tenant data exposure, even when the LLM itself is compromised or manipulated.
The startup, which runs a popular free AI leaderboard, launched its commercial service just last September.
Article URL: https://unslopai.com/spot-the-ai Comments URL: https://news.ycombinator.com/item?id=48722388 Points: 1 # Comments: 0
In this post, we show you how to build an automated claims processing pipeline using two key Amazon Bedrock capabilities: Amazon Bedrock Data Automation for intelligent document extraction from healthcare claim forms, and Amazon Bedrock AgentCore for hosting an AI agent that validates and transforms the extracted data into FHIR (Fast Healthcare Interoperable Resources) resources in AWS HealthLake. You will learn how to combine these services to create an end-to-end workflow that reduces manual p
An end-to-end classical NLP experiment on Kaggle’s Spooky Author Identification task: from Vowpal Wabbit and TF-IDF/NB-SVM baselines to a tuned stacked ensemble, with a compact representation survey of Bag-of-Words, BM25, Word2Vec, and FastText for context. The post How Far Can Classical NLP Go? From Bag-of-Words to Stacking on Spooky Author Identification appeared first on Towards Data Science .
Article URL: https://www.servethehome.com/taking-an-up-close-look-at-the-supermicro-gb300-super-ai-station/ Comments URL: https://news.ycombinator.com/item?id=48722211 Points: 2 # Comments: 0
In this post, you learn how to debug production agent failures using built-in observability capabilities. We walk through common failure patterns, show how to analyze agent behavior with traces and metrics, and provide structured workflows for resolving issues such as infinite loops and tool invocation failures. This is Part 1 of a two-part series. Part 2 covers performance optimization and memory management.
Article URL: https://finance.yahoo.com/technology/ai/articles/pocket-raises-11m-accel-others-130000605.html Comments URL: https://news.ycombinator.com/item?id=48722157 Points: 1 # Comments: 0
Tidal's new policy says that 100-percent AI-generated music will be demonetized.

Article URL: https://empirical.gauzza.com/ Comments URL: https://news.ycombinator.com/item?id=48722082 Points: 1 # Comments: 0
Cursor has launched a new mobile app for remote oversight over coding agents.
Anthropic raised the possibility of a coordinated, verified AI development pause. Antitrust law might prevent that.
Article URL: https://github.com/LeventeNagy/relay-coding-agent Comments URL: https://news.ycombinator.com/item?id=48721828 Points: 3 # Comments: 0
Anthropic’s Claude models in Microsoft Foundry — hosted on Microsoft Azure and running on NVIDIA GB300 Blackwell Ultra GPUs — are now generally available, giving Azure-native enterprises a powerful new way to build autonomous and domain-specific AI agents. As agentic AI continues to drive enterprise innovation and becomes more autonomous, organizations need access to computing […]
<p> Browser agent that’s 10x faster than Claude </p> <p> <a href="https://www.producthunt.com/products/pluno?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/1183935?app_id=339">Link</a> </p>
A single fake error report hijacked Claude Code in controlled testing — the agent ran the attacker's code with the developer's full privileges, and not one alert fired. EDR, WAF, IAM, and the firewall all missed it completely. Tenet Security's June agentjacking disclosure describes a single crafted Sentry error event — sent through a public credential that requires no breach and no authentication — that injected attacker instructions into error data that Claude Code, Cursor, and Codex then execu

<!-- SC_OFF --><div class="md"><p>(this was deleted before but i dont know if it was the filters of reddit or the moderators, if is the moderators i will not post it again after you delete it sorry.)</p> <p>(The name will probably change soon because I didn't realize "AgroVision" is already a registered trademark lol.)</p> <p><strong>Link:</strong> <a href="https://agrovision10.vercel.app/">https://agrovision10.vercel.app/</a></p> <p>AgroVision DEMO is a personal project that started as a univer
I'm the CTO at System1. We own Dogpile.com. It has a diehard userbase, but it has been coasting for some time now. We recently rebuilt the backend as a metered API with a corresponding MCP server for agents. The original Dogpile thesis was that no single index sees the whole web. There's an old Penn State / Pitt study that found ~85% of top results were unique to one engine. Full disclosure: Dogpile sponsored it and of course, that was a totally different web. But the underlying question feels r
When you have multiple MCP servers, every request to the LLM will include all of their tools and descriptions, which can quickly eat up your token limit and increase costs. The thing is, most of the time, you don't need all of them. For example, let’s take three popular MCP servers: Notion, GitHub, and Pylance. The overhead they create on every turn is about 26K tokens. If we assume an average 50-turn coding session and Opus pricing, the overhead for a single session is about $0.9275. `mcp-compr
It has been a busy stretch on the AWS Summit circuit. At the New York City Summit, I delivered a workshop called Building AI architectures with AWS Serverless, and it was a lot of fun watching builders wire up agents and serverless services to solve real problems in a single afternoon. This week I am […]
TIDAL's new policy will prevent AI-generated music from making money on its service.
Article URL: https://www.nature.com/articles/s41467-026-74621-9 Comments URL: https://news.ycombinator.com/item?id=48721290 Points: 1 # Comments: 0
Article URL: https://www.nuget.org/packages/Toolnexus/ Comments URL: https://news.ycombinator.com/item?id=48721207 Points: 1 # Comments: 0
<p><strong><a href="https://deep-reinforce.com/ornith_1_0.html">Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding</a></strong></p> This is an interesting new open weights (MIT licensed) model, the first model release from DeepReinforce.</p> <blockquote> <p>[...] with variants including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built on top of pretrained Gemma 4 and Qwen 3.5, it achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks.</p> </bloc
I don't have ABAP programming rights, so I still do my SAP tasks as point and click in SAP Easy Access, like Query creation in SQ01 or table querying in SE16. Even for mass data entry I am using Power Automate to record clicks and keystrokes. Feels very inefficient, what is your workflow, if you are in a similar situation? Can I use AI efficiently here? Comments URL: https://news.ycombinator.com/item?id=48721165 Points: 1 # Comments: 0
<p> Social listening for the agent era </p> <p> <a href="https://www.producthunt.com/products/octolens-ai?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/1183905?app_id=339">Link</a> </p>
Article URL: https://github.com/giuseppesocci-bot/kalicart-bridge Comments URL: https://news.ycombinator.com/item?id=48721079 Points: 1 # Comments: 0
Article URL: https://github.com/kolegadev/Katra-Agentic-Memory Comments URL: https://news.ycombinator.com/item?id=48721060 Points: 2 # Comments: 0
Detects when an LLM starts answering outside its intended domain (a legal assistant drifting into cooking advice, a medical chatbot wandering into finance) without ground-truth labels or a separate classifier. Comments URL: https://news.ycombinator.com/item?id=48721038 Points: 3 # Comments: 0
Article URL: https://github.com/miketromba/ploof Comments URL: https://news.ycombinator.com/item?id=48721003 Points: 1 # Comments: 0
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Full_Stack.max-600x600.format-webp.webp">A Google expert explains what it means to take a full-stack approach to AI and why it’s been the foundation of our AI work for so long.

A new proposal would ban the sale of Americans' health and location information to data brokers - including information people reveal to an AI chatbot like ChatGPT or Claude. In the coming weeks, Senator Elizabeth Warren (D-MA) and Representative Mary Gay Scanlon (D-PA) are planning to debut a new version of the Health and Location […]

AI agents are quickly moving beyond chat. They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours on...

Your Mac can run AI that holds its own against cloud models for the everyday stuff: chatting, making images, reading documents, transcribing voice. The hardware got there a while ago. The software to actually use it locally mostly didn't, so I built Off Grid. Download a model and it all runs on your machine. Ask it something on a flight with no wifi. Summarize a confidential document that never leaves your laptop. Run a hundred image generations in a loop and pay nothing, because it's your own G
Meta is restricting its engineers' use of Anthropic's Claude and OpenAI's Codex to prevent output from these AI tools from being incorporated into its own training data. The article Meta restricts use of Claude Code and Codex to keep rival AI out of its training data appeared first on The Decoder .

<p> AI moderated interviews that read how people feel </p> <p> <a href="https://www.producthunt.com/products/mira-the-ai-moderator?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/1183892?app_id=339">Link</a> </p>
MBody AI has deployed its hardware-agnostic Orchestrator platform to Florida and California, with a pilot in Ontario. The post MBody AI expands service robotics operations to eleven states and Canada appeared first on The Robot Report .

Article URL: https://pmbai.dev Comments URL: https://news.ycombinator.com/item?id=48720682 Points: 1 # Comments: 0