InfoQ Homepage AI Architecture Content on InfoQ
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Open Practices for Architecture and AI Adoption
Andrea Magnorsky presented on Byte-Sized Architecture at Cloud Native Summit 2025, as a format for building shared understanding through small, recurrent workshops. Ahilan Ponnusamy and Andreas Spanner discussed the Technology Operating Model for AI adoption. Both approaches drew on the Open Practice Library for human-centred collaboration and driving architectural evolution.
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How Netflix is Reimagining Data Engineering for Video, Audio, and Text
Netflix has introduced a new engineering specialization—Media ML Data Engineering, alongside a Media Data Lake designed to handle video, audio, text, and image assets at scale. Early results include richer ML models trained on standardized media, faster evaluation cycles, and deeper insights into creative workflows.
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“A Security Nightmare”: Docker Warns of Risks in MCP Toolchains
A new blog post from Docker warns that AI-powered developer tools built on the Model Context Protocol (MCP) are introducing critical security vulnerabilities — including real-world cases of credential leaks, unauthorized file access, and remote code execution.
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Databricks Agent Bricks Automates Enterprise AI Development with TAO and ALHF Methods
Databricks introduced Agent Bricks, a new product that changes how enterprises develop domain-specific agents. The automated workflow includes generating task-specific evaluations and LLM judges for quality assessment, creating synthetic data that resembles customer data to supplement agent learning, and searching across optimization techniques to refine agent performance.
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Amazon Launches Bedrock AgentCore for Enterprise AI Agent Infrastructure
Amazon announced the preview of Amazon Bedrock AgentCore, a collection of enterprise-grade services that help developers deploy and operate AI agents at scale across frameworks and foundation models. The platform addresses infrastructure challenges developers face when building production AI agents.
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GitHub Unveils Prototype AI Agent for Autonomous Bug Fixing
GitHub unveils a groundbreaking AI coding agent that autonomously identifies bugs and proposes fixes via pull requests, marking a shift towards independent code maintenance. Leveraging advanced semantic analysis and vulnerability libraries, this tool aims to alleviate developers' workload, allowing them to prioritize complex problem-solving.
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AWS Introduces Open Source Model Context Protocol Servers for ECS, EKS, and Serverless
AWS has launched open-source Model Context Protocol (MCP) servers on GitHub to supercharge AI development within Amazon ECS, EKS, and Serverless environments. These specialized tools equip developers with real-time, context-specific insights, enhancing application deployment, troubleshooting, and operational efficiency. Empower your cloud experience today!
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HashiCorp Releases Terraform MCP Server for AI Integration
HashiCorp has released the Terraform MCP Server, an open-source implementation of the Model Context Protocol designed to improve how large language models interact with infrastructure as code.
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OpenAI’s Stargate Project Aims to Build AI Infrastructure in Partner Countries Worldwide
OpenAI has announced a new initiative called "OpenAI for Countries" as part of its Stargate project, aiming to help nations develop AI infrastructure based on democratic principles. This expansion follows the company's initial $500 billion investment plan for AI infrastructure in the United States.
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DeepSeek Launches Prover-V2 Open-Source LLM for Formal Math Proofs
DeepSeek has released DeepSeek-Prover-V2, a new open-source large language model specifically designed for formal theorem proving in Lean 4. The model builds on a recursive theorem proving pipeline powered by the company's DeepSeek-V3 foundation model.
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Scaling Financial Operations: Uber’s GenAI-Powered Approach to Invoice Automation
Uber recently described a GenAI-powered invoice processing system that reduced manual effort by 2x, cut handling time by 70%, and delivered 25–30% cost savings. By leveraging GPT-4 and a modular platform called TextSense, Uber improved data accuracy by 90%, enabling globally scalable, efficient, and highly automated financial operations.
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AWS Promotes Responsible AI in the Well-Architected Generative AI Lens
AWS announced the availability of the new Well-Architected Generative AI Lens, focused on providing best practices for designing and operating generative AI workloads. The lens is aimed at organizations delivering robust and cost-effective generative AI solutions on AWS. The document offers cloud-agnostic best practices, implementation guidance and links to additional resources.
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QCon London 2025 Day 2: the Form of AI, Securing AI Assistants, WASM Components in FaaS
The 19th annual QCon London conference took place at the The Queen Elizabeth II Conference Centre in London, England. This three-day event, organized by C4Media, consists of presentations by expert practitioners. Day Two, scheduled on April 8th, 2025, included a keynote address by Savannah Kunovsky and presentations from five conference tracks.
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Google Releases Open-Source Agent Development Kit for Multi-Agent AI Applications
At Google Cloud Next 2025, Google announced the Agent Development Kit (ADK), an open-source framework aimed at simplifying the development of intelligent, multi-agent applications. The toolkit is designed to support developers across the entire lifecycle of agentic systems — from logic design and orchestration to debugging, evaluation, and deployment.
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AMD’s Gaia Framework Brings Local LLM Inference to Consumer Hardware
AMD has released Gaia, an open-source project allowing developers to run large language models (LLMs) locally on Windows machines with AMD hardware acceleration. The framework supports retrieval-augmented generation (RAG) and includes tools for indexing local data sources. Gaia is designed to offer an alternative to LLMs hosted on a cloud service provider (CSP).