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The Amble One is a street-legal $25,000 electric buggy designed for luxury resorts.

Volkswagen reportedly plans to cut 100,000 jobs.

Polestar moved some of its production to the US, but it may be locked out from selling its cars here soon.

The Department of Commerce declined to give the Chinese-owned automaker a special authorization to keep selling EVs in the U.S.

The Amble One is a street-legal $25,000 electric buggy designed for luxury resorts—but a car is also coming.

These are the hottest Prime Day deals on our favorite TVs and streaming devices.

Amazon-owned Zoox has introduced its new autonomous vehicle meant for for large-scale production.

It has 205 miles of bare-bones range.

According to Automotive News, the cult-favorite Honda Element could return in 2029 as a small hybrid SUV.

Victim's family files wrongful death suit following Tesla crash in Texas.

The safety board, known for its thorough investigations, is probing the crash alongside the National Highway Traffic Safety Administration.

The Jeff Bezos-backed startup finally revealed more pricing details for its debut EV, including a $29,950 starting price for the SUV variant, and boosted the base range to 205 miles.

Launching with better specs than expected, the no-frills Bezos-backed electric pickup looks set to take on Ford’s Maverick—and be an EV truck you can afford and fix yourself.

These are the hottest Prime Day deals on our favorite TVs and streaming devices.

Menlo has created a solid rep for itself as an AI investor, all based on one gutsy $750 million move in 2024.

There are three times of year that are best for buying a new TV: leading up to the Super Bowl, Black Friday, and of course now, during Amazon Prime Day. Many of the new 2026 models have been released, and while some will be seeing discounts, the majority of the best deals are going to […]

The Fire TV Stick 4K Max is a cheap way to stream content and is especially tailored for Prime Video devotees.

Many cybersecurity professionals have been following Anthropic's announcement about the release of Claude Code Security on Friday. This created the beginning of a panic on the cybersecurity stock market. It also raised a lot of questions from domain experts, investors and security enthusiasts. Anthropic's announcement Anthropic introduces Claude Code Security: a tool that scans full codebases for security vulnerabilities, and can propose fixes directly in developer workflows. The tool leverages the latest foundational model's reasoning capabilities to provide a new experience. In a world where code will be generated only by AI, this can sound very much like code security is dead. Our vision 18 months ago, SAST, SCA, and IaC security were areas where we had real traction and could see ourselves expanding. But as AI tooling started reshaping how code gets written, we made a tough call. We decided to stop these initiatives and go all-in on what we believed would matter most: Protecting enterprises against leaked secrets and mismanaged NHIs . We envisioned a future where identity is crucial for the AI era security, with secrets enabling AIs to access data and take actions . After pioneering in secrets detection for years we witnessed how amplified the problem became as LLM emerged: more API keys for AI services, more code generated, often less secure, more agents requiring sophisticated access to a myriad of tools. All in all, this resulted in more secrets exposed. Yet the problem of overseeing and managing these secrets in a secure way remains unsolved. The paradigm shifted from human hardcoding secrets in their code, to AIs having wide access levels on several systems with humans, coders and non-coders, prompting them and creating new vulnerabilities. 18 months later, let me describe where we stand. What isn't changing Best in class secrets detection GitGuardian is the leader in secrets detection . We are the only solution able to scan large volume of data at scale (5

Many Python beginners can write basic programs but get stuck when they try to run a real project on their own laptop. The issue is not always coding. Sometimes the real problem is setup . You may know loops, functions, and lists, but still face problems like: ModuleNotFoundError Python is not recognized Package installed but not working in VS Code Wrong interpreter selected These are common beginner setup issues. Why online compilers are not enough Online compilers are good for quick practice. But real Python projects need: project folders multiple files external packages virtual environments dependency files terminal commands debugging tools Git basics So, when the goal is to build real projects, it is better to move to a local Python setup early. Basic Python project setup flow A simple Python project setup flow looks like this: Install Python Install VS Code Create project folder Create virtual environment Activate virtual environment Install packages Save requirements.txt This setup may look basic, but it prevents many beginner-level errors later. Example folder structure A beginner-friendly Python project folder can look like this: python-project/ │ ├── main.py ├── requirements.txt ├── README.md └── venv/ Here is what each file or folder means: main.py is the main Python file. requirements.txt stores project dependencies. README.md explains the project. venv/ contains the virtual environment. Create a virtual environment Create a virtual environment using: python -m venv venv Activate it on Windows: venv \S cripts \a ctivate Activate it on Mac/Linux: source venv/bin/activate A virtual environment keeps each project’s packages separate. This helps avoid package conflicts when working on multiple Python projects. Install a package After activating the virtual environment, install packages using pip . Example: pip install requests Now create a Python file: import requests response = requests . get ( " https://api.github.com " ) print ( response . status_code ) If

These are the hottest Prime Day deals on our favorite TVs and streaming devices.