Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

In 2025, “vibe coding” dominated the AI landscape, a viral trend characterized by humans prompting AI to write code. It was popularized by OpenAI cofounder Andrej Karpathy who took to ...

Does vibe coding risk destroying the Open Source ecosystem? According to a pre-print paper by a number of high-profile ...

Learn how to visualize electric fields of parallel plates using Python. This step-by-step tutorial shows how to simulate field lines and understand electric field patterns—perfect for students, ...

Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

Spark, a lightweight real-time coding model powered by Cerebras hardware and optimized for ultra-low latency performance.

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...

Attackers recently leveraged LLMs to exploit a React2Shell vulnerability and opened the door to low-skill operators and calling traditional indicators into question.

As tools like large language models become ubiquitous in fields ranging from software engineering to data analysis, a fundamental question emerges regarding the long-term cost of our new-found efficie ...

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

Adversaries weaponized recruitment fraud to steal cloud credentials, pivot through IAM misconfigurations, and reach AI ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...