Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Self-hosted agents execute code with durable credentials and process untrusted input. This creates dual supply chain risk, ...

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

Abstract: Large Language Models (LLMs) are widely adopted for automated code generation with promising results. Although prior research has assessed LLM-generated code and identified various quality ...

Abstract: With the advent of generative LLMs and their advanced code generation capabilities, some people already envision the end of traditional software engineering, as LLMs may be able to produce ...

The post OpenClaw Explained: The Good, The Bad, and The Ugly of AI’s Most Viral New Software appeared first on Android Headlines.

Discover Claude Opus 4.6 from Anthropic. We analyze the new agentic capabilities, the 1M token context window, and how it outperforms GPT-5.2 while addressing critical trade-offs in cost and latency.

Ragas async llm_factory uses max_tokens instead of max_completion_tokens model arg for open ai gpt 5.2. Im using ragas to evalute answers of our chatbot based on answer faithfulness and relevancy.

The code (as well as the README) of Claude Code Mate is mainly vibe coded by Claude Code, with some adjustments and enhancements made by the author. 🤖 The models ...