InfoQ Homepage Artificial Intelligence Content on InfoQ
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Growing Yourself as a Software Engineer, Using AI to Develop Software
Sharing your work as a software engineer inspires others, invites feedback, and fosters personal growth, Suhail Patel said at QCon London. Normalizing and owning incidents builds trust, and it supports understanding the complexities. AI enables automation but needs proper guidance, context, and security guardrails.
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Google Introduces Nano Banana Pro with Grounded, Multimodal Image Synthesis
Google has released Nano Banana Pro. The system moves beyond conventional diffusion workflows by tightly coupling image generation with Gemini’s multimodal reasoning stack. The result: visuals that are not only aesthetically pleasing, but structurally, contextually, and informationally accurate.
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Docker Releases Desktop 4.50, Adds Free Debugging Tools and AI-Native Enhancements
Docker recently announced the release of Docker Desktop 4.50, marking another update for developers seeking faster, more secure workflows and expanded AI-integration capabilities.
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KubeCon NA 2025 - Robert Nishihara on Open Source AI Compute with Kubernetes, Ray, PyTorch, and vLLM
AI workloads are growing more complex in terms of compute and data, and technologies like Kubernetes and PyTorch can help build production-ready AI systems to support them. Robert Nishihara from Anyscale recently spoke at KubeCon + CloudNativeCon North America 2025 Conference about how an AI compute stack comprising Kubernetes, PyTorch, VLLM and Ray technologies can support these new AI workloads.
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Amazon Adds A2A Protocol to Bedrock AgentCore for Interoperable Multi-Agent Workflows
Amazon announced support for the Agent-to-Agent (A2A) protocol in Amazon Bedrock AgentCore Runtime, enabling communication between agents built on different frameworks. The protocol allows agents developed with Strands Agents, OpenAI Agents SDK, LangGraph, Google ADK, or Claude Agents SDK to "share context, capabilities, and reasoning in a common, verifiable format."
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Buoyant Announces MCP Support for Linkerd, Extending Service Mesh Capabilities to Agentic AI Traffic
Buoyant, the company behind the open-source Linkerd service mesh, announced that Linkerd now supports the Model Context Protocol (MCP), making it the first service mesh to natively manage, secure, and observe agentic AI traffic in Kubernetes environments.
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LinkedIn’s Migration Journey to Serve Billions of Users by Nishant Lakshmikanth at QCon SF
Engineering Manager Nishant Lakshmikanth showcased LinkedIn's transformation at QCon SF 2025, detailing a shift from legacy batch-based systems to a real-time architecture. By decoupling recommendations and leveraging dynamic scoring techniques, LinkedIn achieved a 90% reduction in offline costs, enhanced session-level freshness, and improved member engagement while future-proofing its platform.
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SAM 3 Introduces a More Capable Segmentation Architecture for Modern Vision Workflows
Meta has released SAM 3, the latest version of its Segment Anything Model and the most substantial update to the project since its initial launch. Built to provide more stable and context-aware segmentation, the model offers improvements in accuracy, boundary quality, and robustness to real-world scenes, aiming to make segmentation more reliable across research and production systems.
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Sauce Labs Launches AI Tool for Faster Test Analysis
Sauce Labs has launched Sauce AI for Insights, an AI-driven tool that accelerates test analysis by providing natural-language explanations, visual summaries and faster root cause detection. The company claims that it reduces debugging time, improves release readiness, and addresses the growing complexity of test data.
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New Token-Oriented Object Notation (TOON) Hopes to Cut LLM Costs by Reducing Token Consumption
The recently released Token-Oriented Object Notation (TOON) aims to be a schema-aware alternative to JSON that significantly reduces token consumption at a similar level of accuracy. While the existence and importance of token saved depend on the data shape, some benchmarks show TOON may use in some cases 40% fewer tokens than JSON, possibly resulting in LLM and inference cost savings.
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Olmo 3 Release Provides Full Transparency into Model Development and Training
The Allen Institute for AI has unveiled Olmo 3, an open-source language model family that empowers developers with full access to the model lifecycle, from training datasets to checkpoints. Featuring reasoning-focused variants and robust tools for post-training modifications, Olmo 3 promotes transparency, experimentation, and community collaboration, driving innovations in AI.
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QConSF 2025: Humans in the Loop: Engineering Leadership in a Chaotic Industry
At QCon SF 2025, Michelle Brush of Google explored the evolving landscape of software engineering in her keynote “Humans in the Loop: Engineering Leadership in a Chaotic Industry.” She highlighted the complexities engineers face amid automation and AI, stressing the importance of conscious competence, higher-level problem-solving, and effective leadership in navigating today's challenges.
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Google Launches Code Wiki, an AI-Driven System for Continuous, Interactive Code Documentation
Google has introduced Code Wiki, a new platform designed to keep software documentation continuously synchronized with the code it describes. The system generates a structured wiki for each repository, automatically updates it after every change, and powers an integrated chat interface that understands the entire codebase.
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QConSF 2025 - Developing Claude Code at Anthropic at AI Speed
At QCon San Francisco 2025, Adam Wolff showcased Claude Code at Anthropic, where AI powers 90% of production code. With a focus on speed over planning, Claude Code's design evolved through experimentation, addressing challenges like Unicode issues and shell command bottlenecks. Discover successful iterations and lessons learned in real-time software development.
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Google Announces Gemini 3
Google's Gemini 3, unveiled on November 18, 2025, sets a new standard for multimodal AI, integrating seamlessly across platforms like Search and Vertex AI. With capabilities for text, code, and rich media, it empowers both consumer and enterprise applications. Gemini 3 Pro and its advanced Deep Think mode enhance reasoning and task execution, revolutionizing workflows and analytics.