Learn how to build apps with Google AI Studio using vibe coding. Perfect for beginners, this guide simplifies app creation ...

Vibe coding means asking AI to code an app or webpage based on simple language prompts. The practice helps non-programmers create an app without writing a line of code. The four steps to vibe coding ...

Manage all AI prompts from one structured library with WinBuzzer Prompt Station. Use prompt-chains, prompts, text insertions with ChatGPT, Gemini, Claude, Grok, AI Studio, Mistral. With versioning, ...

Abstract: In light of the growing popularity of screen content video applications, there is a increasing demand for Screen Content Coding (SCC). The latest standard, Versatile Video Coding (VVC), ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

OpenAI’s DevDay 2025 featured a major focus on vibe coding. The company, which boasts that it now has more than 800 million weekly active users for ChatGPT, announced a variety of new tools for ...

Vibe coding lets you turn ideas into real projects without writing code. Top free tools include LlamaCoder for prompt-based code generation, Fragments for multi-model coding with personas, Bolt for ...

AI coding agents can now do some of this work. Vibe coding for serious engineers is still evolving. Amazon's new Kiro tool aims to offer a more structured approach, starting with upfront planning.

Anthropic released Claude Sonnet 4.5, calling it the best coding model yet. The model scored 77.2% on SWE-bench Verified, rising to 82% with parallel compute. Anthropic claimed improvements on ...

On February 2nd, 2025, computer scientist and OpenAI co-founder Andrej Karpathy made a flippant tweet that launched a new phrase into the internet’s collective consciousness. He posted that he’d ...

Our training pipeline is adapted from verl and rllm(DeepScaleR). The installation commands that we verified as viable are as follows: conda create -y -n rlvr_train ...