InfoQ Homepage AI Development Content on InfoQ
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Inside Claude Code Auto Mode: Anthropic’s Autonomous Coding System with Human Approval Gates
Anthropic has introduced auto mode in Claude Code, enabling multi-step software development workflows with reduced manual intervention. The feature combines automated execution with layered safety mechanisms, including input filtering, action evaluation, and two-stage classification, while maintaining human approval checkpoints for sensitive operations.
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Uber Migrates 75,000+ Test Classes from Junit 4 to Junit 5 Using Automated Code Transformation
Uber engineers migrated over 75,000 test classes from JUnit 4 to JUnit 5 using automated code transformation with OpenRewrite and internal orchestration. By enabling the JUnit Platform for dual execution with Bazel and validating changes through CI, the team modernized testing infrastructure while maintaining correctness at monorepo scale.
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Anthropic Introduces Managed Agents to Simplify AI Agent Deployment
Anthropic introduces Managed Agents on Claude, a managed execution layer for agent-based workflows. It separates agent logic from runtime concerns like orchestration, sandboxing, state management, and credentials. The system supports long-running multi-step workflows with external tools, error recovery, and session continuity via a meta-harness architecture.
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Designing Memory for AI Agents: inside Linkedin’s Cognitive Memory Agent
LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.
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Cursor 3 Introduces Agent-First Interface, Moving beyond the IDE Model
Anysphere released Cursor 3, a redesigned interface built from scratch that shifts the primary model from file editing to managing parallel coding agents. The new workspace supports local-to-cloud agent handoff, multi-repo parallel execution, and a plugin marketplace. Community reaction has been divided, with developers questioning cost overhead and the move away from Cursor's IDE-first identity.
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GitHub Copilot CLI Reaches General Availability
GitHub has launched Copilot CLI into general availability, bringing generative AI directly to the terminal. Integrated with the GitHub CLI, it offers natural language command suggestions and code explanations. Recent updates introduce "agentic" workflows with Autopilot mode and GPT-5.4 support, alongside new enterprise telemetry for tracking usage across development teams.
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GitHub Integrates AI to Improve Accessibility Issue Management and Automate Feedback Triage
GitHub has launched a continuous AI-powered workflow to manage accessibility feedback at scale. Using GitHub Actions, Copilot, and Models APIs, the system centralizes reports, analyzes WCAG compliance, and automates triage while maintaining human validation. Teams now resolve feedback faster, improving inclusion and cross-functional collaboration.
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QCon London 2026: Tools That Enable the Next 1B Developers
At QCon London 2026, Ivan Zarea, director of platform engineering at Netlify, discussed the impact of AI on web development, noting a surge in non-traditional developers among the 11 million users on the platform. He presented three pillars for developer tools: developing expertise, honing taste, and practicing clairvoyance, emphasizing the need for thoughtful architecture in a evolving landscape.
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QCon London 2026: Running AI at the Edge - Running Real Workloads Directly in the Browser
At QCon London 2026, James Hall discussed running AI workloads directly in browsers, highlighting local processing benefits such as enhanced privacy, reduced latency and cost. He examined technologies like Transformers.js and WebGPU, illustrated practical applications, and provided guidelines for browser-based AI implementation, emphasizing appropriate use cases and evaluation principles.
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QCon London AI Coding State of the Game: More Capable, More Expensive, More Dangerous Coding Agents
In her QCon London keynote, Birgitta Böckeler, AI-Coding lead at Thoughtworks, reflected on the changes in the AI coding space over the past year. She emphasised a shift from vibe coding to using autonomous coding agents or swarms of agents. According to her, two major concerns in the field are the worsening security landscape and the rising costs of agent-based development.
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Where Do Humans Fit in AI-Assisted Software Development?
An article on Martin Fowler’s blog by Kief Morris examines the role of humans in AI-assisted software engineering, arguing developers are unlikely to move fully “out of the loop.” Instead, teams may work “on the loop,” designing tests, specifications, and feedback mechanisms to guide AI agents, as industry discussions focus on how such systems should be verified and governed.
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Rspress 2.0: AI-Native Documentation, Faster Startup and a Redesigned Theme
Rspress 2.0 has launched with a revamped theme, boosted performance, and innovative AI features, transforming developer documentation. With enhanced build speeds and a new Static Site Generation to Markdown (SSG-MD) capability, Rspress empowers developers with customizable styling options while simplifying content management. Experience superior documentation with lightning-fast efficiency!
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New Research Reassesses the Value of AGENTS.md Files for AI Coding
Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files entirely and limiting human-written instructions to non-inferable details, such as highly specific tooling or custom build commands.
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Vercel Releases React Best Practices Skill with 40+ Performance Rules for AI Agents
Vercel has launched "react-best-practices," an open-source repository featuring 40+ performance optimization rules for React and Next.js apps. Tailored for AI coding agents yet valuable for developers, it categorizes rules based on impact, assisting in enhancing performance, bundle size, and architectural decisions.
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AI "Vibe Coding" Threatens Open Source as Maintainers Face Crisis
Daniel Stenberg shut down cURL's bug bounty after AI submissions hit 20%. Mitchell Hashimoto banned AI code from Ghostty. Steve Ruiz closed all external PRs to tldraw. Economic research shows "vibe coding" weakens the user engagement that sustains open source. As developers delegate to AI agents, documentation visits and bug reports collapse—threatening the ecosystem's viability.