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The article discusses the impact of the war in Iran on global fuel supplies, leading to a fuel crisis in Asia and widespread work-from-home policies and school closures due to price caps and shortages.

The article explores how DuckDB, a lightweight and embeddable SQL database, can be used to process large datasets on even the cheapest Macbook hardware, providing a cost-effective solution for big data analysis on low-powered devices.

The article highlights the latest updates and improvements made to the Dolphin emulator, including support for Nintendo GameCube and Wii games on a wider range of devices, enhanced performance, and new features like expanded audio and graphics capabilities.

The article explores the emerging field of 3D knitting, discussing its potential to revolutionize textile manufacturing by allowing for the creation of complex, customized garments through automated, digital knitting processes.

CodeSpeak is a platform that provides free coding education resources, including tutorials, articles, and community forums, to help learners of all levels improve their programming skills and knowledge.

U.S. banks' exposure to private credit has reached $300 billion, indicating their growing involvement in the private credit market, which provides financing to companies and individuals outside the traditional banking system.

A massive data breach has exposed over 1 billion identity records, including names, email addresses, and phone numbers, highlighting the growing threat of cybersecurity attacks and the need for stronger data protection measures.

The article explores how the introduction of ATMs did not lead to the demise of bank tellers, as many had predicted. Instead, it argues that ATMs and tellers have evolved to complement each other, with tellers focusing on more complex customer needs and ATMs handling routine transactions.

Two oil tankers owned by US and Greek companies were set on fire in Iraqi waters, with Iran claiming responsibility for an underwater drone strike. The incident has raised tensions in the region and led to concerns about the safety of maritime shipping.

We built rudel.ai after realizing we had no visibility into our own Claude Code sessions. We were using it daily but had no idea which sessions were efficient, why some got abandoned, or whether we were actually improving over time.

So we built an analytics layer for it. After connecting our own sessions, we ended up with a dataset of 1,573 real Claude Code sessions, 15M+ tokens, 270K+ interactions.

Some things we found that surprised us: - Skills were only being used in 4% of our sessions - 26% of sessions are abandoned, most within the first 60 seconds - Session success rate varies significantly by task type (documentation scores highest, refactoring lowest) - Error cascade patterns appear in the first 2 minutes and predict abandonment with reasonable accuracy - There is no meaningful benchmark for 'good' agentic session performance, we are building one.

The tool is free to use and fully open source, happy to answer questions about the data or how we built it.

The Metropolitan Museum of Art has released high-definition 3D scans of 140 famous art objects from its collection, allowing people to virtually explore and study these works in unprecedented detail.

Claude, an AI language model, has developed a new technology called Claude Builds Visuals that can generate high-quality images from textual descriptions. The article explores the capabilities and potential applications of this innovative technology in various industries.

The article explores the rise of large language models (LLMs) and their potential impact on the future of computing, emphasizing the need for responsible development and deployment of these powerful AI systems.

The U.S. Navy has declined requests to escort commercial ships through the Strait of Hormuz, citing the high risk of potential conflict with Iran in the region. The decision reflects the U.S. Navy's concerns about escalating tensions and the need to carefully manage its resources and presence in the sensitive area.

I built Axe because I got tired of every AI tool trying to be a chatbot.

Most frameworks want a long-lived session with a massive context window doing everything at once. That's expensive, slow, and fragile. Good software is small, focused, and composable... AI agents should be too.

Axe treats LLM agents like Unix programs. Each agent is a TOML config with a focused job. Such as code reviewer, log analyzer, commit message writer. You can run them from the CLI, pipe data in, get results out. You can use pipes to chain them together. Or trigger from cron, git hooks, CI.

What Axe is:

- 12MB binary, two dependencies. no framework, no Python, no Docker (unless you want it)

- Stdin piping, something like `git diff | axe run reviewer` just works

- Sub-agent delegation. Where agents call other agents via tool use, depth-limited

- Persistent memory. If you want, agents can remember across runs without you managing state

- MCP support. Axe can connect any MCP server to your agents

- Built-in tools. Such as web_search and url_fetch out of the box

- Multi-provider. Bring what you love to use.. Anthropic, OpenAI, Ollama, or anything in models.dev format

- Path-sandboxed file ops. Keeps agents locked to a working directory

Written in Go. No daemon, no GUI.

What would you automate first?

We built OneCLI because AI agents are being given raw API keys. And it's going about as well as you'd expect. We figured the answer isn't "don't give agents access," it's "give them access without giving them secrets."

OneCLI is an open-source gateway that sits between your AI agents and the services they call. You store your real credentials once in OneCLI's encrypted vault, and give your agents placeholder keys. When an agent makes an HTTP call through the proxy, OneCLI matches the request by host/path, verifies the agent should have access, swaps the placeholder for the real credential, and forwards the request. The agent never touches the actual secret. It just uses CLI or MCP tools as normal.

Try it in one line: docker run --pull always -p 10254:10254 -p 10255:10255 -v onecli-data:/app/data ghcr.io/onecli/onecli

The proxy is written in Rust, the dashboard is Next.js, and secrets are AES-256-GCM encrypted at rest. Everything runs in a single Docker container with an embedded Postgres (PGlite), no external dependencies. Works with any agent framework (OpenClaw, NanoClaw, IronClaw, or anything that can set an HTTPS_PROXY).

We started with what felt most urgent: agents shouldn't be holding raw credentials. The next layer is access policies and audit, defining what each agent can call, logging everything, and requiring human approval before sensitive actions go through.

It's Apache-2.0 licensed. We'd love feedback on the approach, and we're especially curious how people are handling agent auth today.

GitHub: https://github.com/onecli/onecli Site: https://onecli.sh

The new MacBook Neo features a more modular design, making it easier to repair and maintain than other Apple laptops. This approach aims to address the longstanding criticism of Apple's products being difficult to service and upgrade by consumers.

The article explores the link between gut microbiome and cognitive decline, highlighting research that suggests gut bacteria may play a role in age-related brain changes and memory loss. It suggests that modifying the gut microbiome could potentially help maintain cognitive function as people age.

The article explores the features and capabilities of Emacs, a powerful and customizable text editor, and discusses the author's personal journey in using and customizing Emacs for their programming and writing needs.

The article discusses the United States Department of Agriculture's (USDA) plans to close buildings, relocate staff, and downsize significantly. These changes are part of the USDA's broader efforts to restructure and streamline its operations.