Itamar Friedman discusses how architects and engineering leaders can break through the AI productivity ceiling using adaptive ...

AI agents such as OpenClaw are turning developer workstations into always-on edge servers. We test whether the Dell Pro Max ...

Multi-agent AI systems require strict AWS Cedar policies to prevent unchecked privilege escalation during automated ...

Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

Omp (oh-my-pi) is a batteries-included terminal coding agent with LSP, debugger, subagents and hash-anchored edits. Here's ...

Overview: LangGraph currently leads advanced AI workflow development with strong memory and execution control.CrewAI and ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

Microsoft has launched a four-part developer series explaining how to build a CLI-style AI agent that can plan tasks, use tools, retain information, and ...

Abstract: As a new and disruptive technology, the introduction of large language models (LLMs) may be the first step into a paradigm shift of how we develop and deploy software-intensive systems.

Google DeepMind is funding research into the potential dangers of situations where millions of different AI agents interact with each other online. According to Rohin Shah, who directs the company’s ...

midscene-python/ ├── midscene/ # Core framework │ ├── core/ # Core framework │ │ ├── agent/ # Agent system │ │ ├── insight/ # AI inference engine │ │ ├── ai_model/ # AI model integration │ │ ├── yaml ...