InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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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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Etsy Migrates 1000-Shard, 425 TB MySQL Sharding Architecture to Vitess
The Etsy engineering team recently described how the company migrated its long-running MySQL sharding infrastructure to Vitess. The transition moved shard routing from Etsy’s internal systems to Vitess using vindexes, enabling capabilities such as resharding data and sharding previously unsharded tables.
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Google Cloud Highlights Ongoing Work on PostgreSQL Core Capabilities
Google Cloud has outlined its recent technical contributions to PostgreSQL, emphasizing improvements in logical replication, upgrade processes, and overall system stability. The update reflects ongoing collaboration with the upstream community and focuses on enhancements to the core engine aimed at addressing scalability, replication, and operational challenges.
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AAIF's MCP Dev Summit: Gateways, gRPC, and Observability Signal Protocol Hardening
The MCP Dev Summit North America 2026, held on April 2-3 at the New York Marriott Marquis, gathered about 1,200 attendees. Hosted by the Linux Foundation's Agentic AI Foundation, discussions focused on the Model Context Protocol's evolution and enterprise adoption, particularly by Amazon and Uber, emphasizing security, interoperability, and scaling for production.
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Google Brings MCP Support to Colab, Enabling Cloud Execution for AI Agents
Google has released the open-source Colab MCP Server, enabling AI agents to directly interact with Google Colab through the Model Context Protocol (MCP). The project is designed to bridge local agent workflows with cloud-based execution, allowing developers to offload compute-intensive or potentially unsafe tasks from their own machines.
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Cloudflare and ETH Zurich Outline Approaches for AI-Driven Cache Optimization
Cloudflare and ETH Zurich highlight how AI-driven crawler traffic challenges traditional caching in CDNs and databases. They propose AI-aware strategies including separate cache tiers, adaptive algorithms, and pay-per-crawl models to balance performance for human users and AI services while maintaining cache efficiency and system stability.
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Google Open Sources Experimental Multi-Agent Orchestration Testbed Scion
Designed to manage concurrent agents running in containers across local and remote compute, Scion is an experimental orchestration testbed that enables developers to run groups of specialized agents with isolated identities, credentials, and shared workspaces.
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Anthropic Accidentally Exposes Claude Code Source via npm Source Map File
Anthropic's Claude Code CLI had its full TypeScript source exposed after a source map file was accidentally included in version 2.1.88 of its npm package. The 512,000-line codebase was archived to GitHub within hours. Anthropic called it a packaging error caused by human error. The leak revealed unreleased features, internal model codenames, and multi-agent orchestration architecture.
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Dynamic Languages Faster and Cheaper in 13-Language Claude Code Benchmark
A 600-run benchmark by Ruby committer Yusuke Endoh tested Claude Code across 13 languages, implementing a simplified Git. Ruby, Python, and JavaScript were the fastest and cheapest, at $0.36- $0.39 per run. Statistically typed languages cost 1.4-2.6x more. Adding type checkers to dynamic languages imposed 1.6-3.2x slowdowns. Full dataset available on GitHub.
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Anthropic Designs Three-Agent Harness Supports Long-Running Full-Stack AI Development
Anthropic introduces a three-agent harness separating planning, generation, and evaluation to improve long-running autonomous AI workflows for frontend and full-stack development. Industry commentary highlights structured approaches, iterative evaluation, and practical methods to maintain coherence and quality over multi-hour AI coding sessions.
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TigerFS Mounts PostgreSQL Databases as a Filesystem for Developers and AI Agents
TigerFS is a new experimental filesystem that mounts a database as a directory and stores files directly in PostgreSQL. The open source project exposes database data through a standard filesystem interface, allowing developers and AI agents to interact with it using common Unix tools such as ls, cat, find, and grep, rather than via APIs or SDKs.
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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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PyPI Supply Chain Attack Compromises LiteLLM, Enabling the Exfiltration of Sensitive Information
Discovered by FutureSearch researcher Callum McMahon, a supply chain attack against LiteLLM on PyPI resulted in over 40 thousand downloads of a compromised version that installed a malicious payload capable of harvesting and exfiltrating sensitive information. LiteLLM is downloaded roughly 3 million times per day.
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Agentic AI Patterns Reinforce Engineering Discipline
Paul Duvall recently discussed his library of engineering patterns for AI assisted development and practices that ground high quality delivery. Related discussions from Paul Stack and Gergely Orosz highlight a shift toward remixing and specification driven development.
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Google Unveils AppFunctions to Connect AI Agents and Android Apps
In a move to transform Android into an "agent-first" OS, Google has introduced new early beta features to support a task-centric model in which apps provide functional building blocks users leverage through AI agents or assistants to fulfill their goals.