InfoQ Homepage Artificial Intelligence Content on InfoQ
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GitHub Expands Copilot Ecosystem with AgentHQ
GitHub has announced AgentHQ, a new addition to its platform that aims to unify the fragmented landscape of AI tools within the software development process.
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How AI with Prompt Engineering Supports Software Testing
AI is becoming a key QA tool, aiding in faster scenario generation, risk detection, and test planning. Arbaz Surti showed how effective prompting using roles, context, and output format helps to get clear, relevant, and actionable test scenarios. AI can boost testers, but human judgment is needed to ensure relevance and quality.
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Cursor 2.0 Expands Composer Capabilities for Context-Aware Development
Cursor has launched version 2.0 of its AI-driven code editor, featuring Composer, a new model that enables developers to write and modify code through natural language interaction.
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QCon London 2026 Announces Tracks: AI Engineering, Building Teams, Tech of Finance, and More
The QCon London 2026 tracks are live: 15 practitioner-curated deep dives on AI adoption, resilient architectures, distributed systems, performance, modern languages, data, security, and Staff+ leadership, rooted in real production lessons.
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PyTorch Foundation Welcomes Ray, Unveils Monarch for Simplified Distributed AI
At the 2025 PyTorch Conference, the PyTorch Foundation unveiled new initiatives to advance open AI infrastructure, introducing frameworks like Ray and PyTorch Monarch for streamlined distributed workloads. Highlighting transparency in AI development, new projects from Stanford and AI2 aim to enhance reproducibility. The foundation is solidifying its role as a central hub for scalable AI solutions.
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Inside the Architectures Powering Modern AI Systems: QCon San Francisco 2025
Senior engineers face fast-moving AI adoption without clear patterns. QCon SF 2025 brings real-world lessons from teams at Netflix, Meta, Intuit, Anthropic & more, showing how to build reliable AI systems at scale. Early bird ends Nov 11.
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Amazon Timestream for InfluxDB Adds Support for InfluxDB 3 Core and Enterprise
InfluxData has launched InfluxDB 3 Core and Enterprise on Amazon Timestream, offering a high-speed, open-source time-series database for real-time applications. With enhanced security, scalability, and performance, developers can seamlessly integrate with AWS services. InfluxDB 3 redefines data management for AI-driven environments, enabling rapid analytics and decision-making.
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HashiCorp Previews “Agentic Infrastructure” Future with Project Infragraph
At its annual conference, HashiConf 2025, the now-IBM-owned HashiCorp, revealed a new strategic initiative: Project Infragraph, a real-time infrastructure graph designed to underpin an era of agent-driven automation for hybrid clouds.
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Vercel Ship AI 2025 Key Announcements and Technical Updates
Vercel Ship AI 2025 unveiled AI SDK 6 beta, new Marketplace agents and services, workflow support for TypeScript, Vercel Agent for code reviews, Python SDK for FastAPI/Flask, and open-source templates for lead enrichment and Slack-SQL queries.
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Anthropic Introduces Skills for Custom Claude Tasks
Anthropic has unveiled a new feature called Skills, designed to let developers extend Claude with modular, reusable task components.
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PyTorch Monarch Simplifies Distributed AI Workflows with a Single-Controller Model
Meta’s PyTorch team has launched Monarch, a framework that simplifies distributed AI workflows across multiple GPUs and machines. It uses a single-controller model to manage computations across a cluster, making large-scale training and reinforcement learning tasks easier while allowing developers to keep their standard PyTorch coding practices.
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Microsoft Adds Agent Mode and Office Agent to Office Applications
Microsoft has expanded its Microsoft 365 Copilot platform with Agent Mode and Office Agent. The update moves Copilot beyond a conversational assistant into a system capable of running continuous, multi-step workflows across Microsoft 365 applications.
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Researchers Introduce ACE, a Framework for Self-Improving LLM Contexts
Researchers from Stanford University, SambaNova Systems, and UC Berkeley have proposed Agentic Context Engineering (ACE), a new framework designed to improve large language models (LLMs) through evolving, structured contexts rather than weight updates. The method, described in a paper, seeks to make language models self-improving without retraining.
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Google’s Open Source Gemini CLI Extensions Let Developers Build Custom AI-Powered Workflows
Google's Gemini CLI Extensions launch an open-source framework empowering developers to create and share integrations effortlessly. With modular architecture and playbooks for seamless tool interaction, Gemini CLI becomes a central hub for AI-assisted workflows. The platform fosters collaboration with prominent partners, enabling a robust ecosystem for personalized developer tools.
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AWS Launches Amazon Quick Suite, an Agentic AI Workspace
AWS has launched Amazon Quick Suite, a new AI-powered workspace designed to connect company data, automate workflows, and perform actions across business applications.