AI ‘vibe coding’ could put Ethereum roadmap ahead of schedule: Vitalik Buterin

Vitalik Buterin says an AI-coded Ethereum roadmap prototype could inform blockchain developers on how to use the technology.
OSTechNix

How AI Helped One Developer Build a MacBook WiFi Driver for FreeBSD

Learn how a developer used AI agents to build a native FreeBSD WiFi driver for the MacBook BCM4350 chip. Explore the "vibe ...
IEEE

Tutorial: Principles and Practices of Secure Cryptographic Coding in Java

Abstract: Various software libraries and frameworks provide a variety of APIs to support secure coding. However, misusing these APIs can cost developers tremendous time and effort, introduce security ...
Observer

‘Vibe Coding’ Inventor Andrej Karpathy Has a New Term for A.I. Engineering

Andrej Karpathy introduces “agentic engineering,” arguing that directing A.I. agents now defines modern software development. Photo by Michael Macor/The San Francisco Chronicle via Getty Images The ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
TechCrunch

OpenAI launches new agentic coding model only minutes after Anthropic drops its own

On Monday, OpenAI launched Codex, an agentic coding tool marketed to software developers. Today, OpenAI also launched a new model designed to turbo-charge Codex: GPT-5.3 Codex. The company says that ...
InfoWorld

OpenAI launches Codex app as enterprises weigh autonomous AI coding tools

The app gives developers a centralized workspace to manage multiple AI coding agents across projects without losing task context, OpenAI said. OpenAI has launched a standalone Codex app to manage ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...
IEEE

Channel Coding Toward 6G: Technical Overview and Outlook

Abstract: Channel coding plays a pivotal role in ensuring reliable communication over wireless channels. With the growing need for ultra-reliable communication in emerging wireless use cases, the ...