InfoQ Homepage Agents Content on InfoQ
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Google Brings its Developer Documentation into the Age of AI Agents
Google has announced the public preview of the Developer Knowledge API. It comes with a Model Context Protocol (MCP) server. This gives AI development tools a simple, machine-readable way to reach Google's official developer documentation.
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Apple Researchers Introduce Ferret-UI Lite, an On-Device AI Model for Seeing and Controlling UIs
Apple's Ferret-UI Lite is a 3B-parameter model optimized for mobile and desktop screens, designed to interpret screen images, understand UI elements such as icons and text, and interact with apps by, e.g., reading messages, checking health data, and more.
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Anthropic Study: AI Coding Assistance Reduces Developer Skill Mastery by 17%
Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding libraries, though productivity gains were not statistically significant. Those who used AI for conceptual inquiry scored 65% or higher, while those delegating code generation to AI scored below 40%.
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Rivet Launches the Sandbox Agent SDK to Solve Agent API Fragmentation
Rivet Sandbox Agent SDK provides a universal API for coding agents, allowing developers to work with different agent runtimes like Claude Code, Codex, OpenCode, and Amp without rewriting their integration for each one. It addresses the fragmentation across agent APIs, session handling, and streaming formats that has historically made agent integrations complex and difficult to maintain.
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OpenAI Introduces Harness Engineering: Codex Agents Power Large‑Scale Software Development
OpenAI introduces Harness Engineering, an AI-driven methodology where Codex agents generate, test, and deploy a million-line production system. The platform integrates observability, architectural constraints, and structured documentation to automate key software development workflows.
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OpenAI Launches Frontier, a Platform to Build, Deploy, and Manage AI Agents across the Enterprise
OpenAI Frontier is an enterprise platform for building, deploying, and managing AI agents, designed to make AI agents reliable, scalable, and integrated into real company systems and workflows.
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GitHub Agentic Workflows Unleash AI-Driven Repository Automation
Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository tasks using coding agents that understand context and intent, GitHub says. This enables workflows such as automatic issue triage and labeling, documentation updates, CI troubleshooting, test improvements, and reporting.
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Moonshot AI Releases Open-Weight Kimi K2.5 Model with Vision and Agent Swarm Capabilities
Moonshot AI released Kimi K2.5, their latest open-weight multimodal LLM. K2.5 excels at coding tasks, with benchmark scores comparable to frontier models such as GPT-5 and Gemini. It also features an agent swarm mode, which can direct up to 100 sub-agents for attacking problems with parallel workflow.
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OpenAI Publishes Codex App Server Architecture for Unifying AI Agent Surfaces
OpenAI has recently published a detailed architecture description of the Codex App Server, a bidirectional protocol that decouples the Codex coding agent's core logic from its various client surfaces. The App Server now powers every Codex experience, including the CLI, the VS Code extension, and the web app, through a single, stable API.
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Does AI Make the Agile Manifesto Obsolete?
Capgemini's Steve Jones argues AI agents building apps in hours have killed the Agile Manifesto, as its human-centric principles don't fit agentic SDLCs. While Forrester reports 95% still find Agile relevant, Kent Beck proposes "augmented coding" and AWS suggests "Intent Design" over sprint planning. The debate: Is Agile dead, or evolving for AI collaboration?
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Agoda’s API Agent Converts Any API to MCP with Zero Code and Deployments
Agoda engineers developed API Agent, enabling a single MCP server to access any internal REST or GraphQL API with zero code and zero deployments. The system reduces overhead from multiple APIs, supports AI-assisted queries, and uses in-memory SQL post-processing for safe, scalable data handling across internal services.
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Google Explores Scaling Principles for Multi-Agent Coordination
Google Research tried to answer the question of how to design agent systems for optimal performance by running a controlled evaluation of 180 agent configurations. From this, the team derived what they call the "first quantitative scaling principles for AI agent systems", showing that multi-agent coordination does not reliably improve results and can even reduce performance.
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From Paging to Postmortem: Google Cloud SREs on Using Gemini CLI for Outage Response
A recent article by Google Cloud SREs describes how they use the AI-powered Gemini CLI internally to resolve real-world outages. This approach improves reliability in critical infrastructure operations and reduces incident response time by integrating intelligent reasoning directly into the terminal-based operational tools.
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GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps
Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub Copilot CLI into their own apps, making it easier to build agentic workflows.
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Next Moca Releases Agent Definition Language as an Open Source Specification
Moca has open-sourced Agent Definition Language (ADL), a vendor-neutral specification intended to standardize how AI agents are defined, reviewed, and governed across frameworks and platforms. The project is released under the Apache 2.0 license and is positioned as a missing “definition layer” for AI agents, comparable to the role OpenAPI plays for APIs.