Prompt engineering is the practice of writing clear, purposeful inputs that guide AI models to deliver accurate and context-aware outputs. It’s become a foundational skill across AI-assisted workflows ...

GitHub detailed a set of updates to GitHub Spark, including changes aimed at enterprise readiness, cost management, agent behavior, and UI quality. The update is outlined in a Dec. 10 GitHub changelog ...

According to God of Prompt (@godofprompt), selecting one prompt engineering technique from a curated thread and consistently applying it in the next 10 prompts can dramatically improve AI output ...

Developers can now integrate large language models directly into their existing software using a single line of code, with no manual prompt engineering required. The open-source framework, known as ...

Cybersecurity researchers have disclosed details of an npm package that attempts to influence artificial intelligence (AI)-driven security scanners. The package in question is eslint-plugin-unicorn-ts ...

According to God of Prompt (@godofprompt), leveraging Elon Musk’s first principles thinking framework as AI prompts has transformed problem-solving processes by deconstructing challenges to their ...

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Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a new technique in prompt ...

GitHub announced during its annual GitHub Universe 2025 event a new addition to its platform called AgentHQ, designed to let developers create and deploy AI agents that work directly within GitHub’s ...

Cybersecurity researchers have disclosed a new set of vulnerabilities impacting OpenAI's ChatGPT artificial intelligence (AI) chatbot that could be exploited by an attacker to steal personal ...

Generative AI has quickly become part of how we search, code, write, and make decisions. Yet users are puzzled when the AI misses the mark. The reason is deceptively simple: AI is quite literal. The ...

Abstract: Advancements in large language models (LLMs) have led to a surge of prompt engineering (PE) techniques that can enhance various requirements engineering (RE) tasks. However, current LLMs are ...