InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
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.
-
Sixteen Claude Agents Built a C Compiler without Human Intervention... Almost
In an effort to probe the limits of autonomous software development Anthropic used sixteen Claude Opus 4.6 AI agents to build a Rust-based C compiler from scratch. Working in parallel on a shared repository, the agents coordinated their changes and ultimately produced a compiler capable of building the Linux 6.9 kernel across x86, ARM, and RISC-V, as well as many other open-source projects.
-
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.
-
Firestore Adds Pipeline Operations with over 100 New Query Features
Google has overhauled Firestore’s query engine, introducing "Pipeline operations" that enable complex server-side aggregations and array unnesting. The update shifts Firestore Enterprise toward an optional indexing model, allowing architects to prioritize write speed and lower costs. While it brings parity with MongoDB-style aggregations, the preview currently lacks real-time and emulator support.
-
VillageSQL Launches as an Extension-Focused MySQL Fork
A new open-source project, VillageSQL, has been introduced as a tracking fork of MySQL aimed at expanding extensibility and addressing feature gaps increasingly relevant to AI and agent-based workloads.
-
OpenAI Scales Single Primary PostgreSQL Instance to Millions of Queries per Second for ChatGPT
OpenAI described how it scaled PostgreSQL to support ChatGPT and its API platform, handling millions of queries per second for hundreds of millions of users. By running a single-primary PostgreSQL deployment on Azure with nearly 50 read replicas, optimizing query patterns, and offloading write-heavy workloads to sharded systems, OpenAI maintained low-latency reads while managing write pressure.
-
Pandas 3.0 Introduces Default String Dtype and Copy-on-Write Semantics
The pandas team has released pandas 3.0.0, a major update that changes core behaviors around string handling, memory semantics, and datetime resolution, while removing a substantial amount of deprecated functionality. The release introduces several changes to core behaviors in the library’s API.
-
Kubernetes Drives AI Expansion as Cultural Shift Becomes Critical
A new CNCF report identifies Kubernetes as the primary engine for AI growth, with 82% production adoption. However, technical maturity has outpaced organisational change. Human factors, such as siloed team structures and a lack of cross-functional collaboration, now serve as the leading barriers to successful deployment, making cultural transformation the decisive factor for AI scaling.
-
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.
-
QCon Previews 20th Anniversary Conferences: Production AI, Resilience, and Staff+ Engineering
Celebrating its 20th anniversary, QCon’s 2026 conferences in London and San Francisco will focus on the engineering realities of agentic AI, resilient architectures, and platform ROI. The programs continue the series' two-decade tradition of practitioner-led content, curated by senior engineers from companies like Zoox, UBS, and LinkedIn.
-
Windsurf Introduces Arena Mode to Compare AI Models During Development
Windsurf has introduced Arena Mode inside its IDE allowing developers to compare large language models side by side while working on real coding tasks. The feature is designed to let users evaluate models directly within their existing development context, rather than relying on public benchmarks or external evaluation websites.
-
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.
-
Cloudflare Demonstrates Moltworker, Bringing Self-Hosted AI Agents to the Edge
Cloudflare has introduced Moltworker, an open-source solution for running Moltbot—a self-hosted personal AI agent—on its Developer Platform, eliminating the need for local hardware, such as Mac minis. Rebranded from Clawdbot, Moltbot serves as a personal assistant in chat applications, integrating with AI models, browsers, and third-party tools while maintaining user control.
-
Google Supercharges Gemini 3 Flash with Agentic Vision
Google has added agentic vision to Gemini 3 Flash, combining visual reasoning with code execution to "ground answers in visual evidence". According to Google, this not only improves accuracy, but more importantly unlocks entirely new AI-driven behaviors.
-
Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing
Conductor Quantum has announced Coda, a natural language interface for running quantum programs on real quantum hardware. The system is positioned as a software layer that translates high-level user intent into executable quantum circuits.