A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

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The Draw.io MCP server is a Model Context Protocol (MCP) implementation that brings powerful diagramming capabilities to AI agentic systems. This integration enables: As an MCP-compliant tool, it ...

Abstract: Prompt engineering is crucial for optimizing large language models in code generation. This paper explores a synergistic prompt engineering approach that integrates complementary prompting ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — some as demo attacks and others already a threat in the wild.

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, and workflow without added complexit ...

Abstract: Large Language Models (LLMs) are increasingly used by software engineers for code generation. However, limitations of LLMs such as irrelevant or incorrect code have highlighted the need for ...

According to @godofprompt, the Chain-of-Verification (CoVe) standard introduces a multi-step prompt process where large language models first answer a question, generate verification questions, answer ...