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  • Reducing C++ template bloat by factoring out the type-dependent portions of the function, practical exam

    calendar Aug 21, 2026 · devblogs.microsoft.com
    Reducing C++ template bloat by factoring out the type-dependent portions of the function, practical exam

    A short time ago, we observed that there's usually no need to wrap a callable in a lambda, and more recently observed that Link to article: https://devblogs.microsoft.com/oldnewthing/20260821-00/?p=112632


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  • Running AI agents in GitHub Actions with Docker Sandboxes

    calendar Aug 21, 2026 · docker.com
    Running AI agents in GitHub Actions with Docker Sandboxes

    Run AI agents in GitHub Actions with Docker Sandboxes. See how isolated agents can run Testcontainers tests, fix code, and open draft pull requests. Link to article: https://www.docker.com/blog/running-ai-agents-in-github-actions-with-docker-sandboxes/


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  • Specification Pattern With EF Core Without a Repository

    calendar Aug 21, 2026 · devleader.ca
    Specification Pattern With EF Core Without a Repository

    Use the Specification Pattern with EF Core DbContext queries while keeping tracking, result limits, cancellation, SQL checks, and relational tests explicit. Link to article: https://www.devleader.ca/2026/08/21/specification-pattern-with-ef-core-without-a-repository


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  • Spring Boot Configuration Management Best Practices

    calendar Aug 21, 2026 · blog.jetbrains.com
    Spring Boot Configuration Management Best Practices

    Spring Boot provides comprehensive externalized application configuration support. It enables one application artifact to run in different environments by supplying values from various sources such as: In this article, we’ll explore the best practices for managing Spring Boot application configuration.A well-designed …


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  • Introducing cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock

    calendar Aug 20, 2026 · aws.amazon.com/blogs/machine-learning
    Introducing cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock

    Amazon Bedrock now offers OpenAI GPT-5.6 models (Sol, Terra, and Luna) in more than 25 AWS Regions with cross-Region inference. Learn how US geographic and global inference profiles route requests for higher throughput, how to call the models with the OpenAI and Converse APIs, and how to configure IAM, quotas, and …


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  • Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment

    calendar Aug 20, 2026 · aws.amazon.com/blogs/machine-learning
    Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment

    Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your AWS account and Snowflake environment for a no-code ML workflow with Amazon SageMaker Canvas, laying the foundation for building a fraud …


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  • Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas

    calendar Aug 20, 2026 · aws.amazon.com/blogs/machine-learning
    Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas

    In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying the groundwork for interactive dashboards in Part 3. Link to …


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  • Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with Amazon Quick Sight

    calendar Aug 20, 2026 · aws.amazon.com/blogs/machine-learning
    Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with Amazon Quick Sight

    In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashboards, use generative BI to answer questions in natural language, and publish AI-generated executive summaries for stakeholders. Link to …


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  • Vector Search in .NET: The Azure AI Search Query Model

    calendar Aug 20, 2026 · devleader.ca
    Vector Search in .NET: The Azure AI Search Query Model

    Learn Azure AI Search vector search .NET query mechanics, including vector fields, dimension alignment, top-k results, filters, scores, and stable C# APIs. Link to article: https://www.devleader.ca/2026/08/20/vector-search-in-net-the-azure-ai-search-query-model


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  • Docker Verified Publisher Applications Are Now Self-Serve

    calendar Aug 20, 2026 · docker.com
    Docker Verified Publisher Applications Are Now Self-Serve

    Apply to become a Docker Verified Publisher (DVP) now directly through Docker Hub. Get your verified content seen first by devs looking for trusted options. Link to article: https://www.docker.com/blog/docker-verified-publisher-applications-are-now-self-serve/


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  • Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore

    calendar Aug 20, 2026 · aws.amazon.com/blogs/machine-learning
    Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore

    AI agents can take actions that do not match your organization's policies. Policy in Amazon Bedrock AgentCore lets teams enforce controls across agents, now including time-based constraints. This post shows how Policy Authoring turns natural-language policy documents into correct Dogwood policies, with worked examples …


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  • Scaling agentic AI: Enterprise patterns without vendor lock-in

    calendar Aug 20, 2026 · aws.amazon.com/blogs/machine-learning
    Scaling agentic AI: Enterprise patterns without vendor lock-in

    Scaling agentic AI across an enterprise requires patterns that preserve flexibility while avoiding vendor lock-in. In this second post of our multi-agent series, we examine how ML teams operate many agentic AI systems across a multi-everything environment of frameworks, models, and providers, and the principles that …


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  • Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore

    calendar Aug 20, 2026 · aws.amazon.com/blogs/machine-learning
    Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore

    Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-built AI agents handle discovery, infrastructure as code generation, portfolio governance, and post-migration operations, reducing IaC development time from …


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  • AWS vector solutions: Build agentic AI where your data lives

    calendar Aug 20, 2026 · aws.amazon.com/blogs/machine-learning
    AWS vector solutions: Build agentic AI where your data lives

    AWS offers a broad portfolio of vector search built directly into the databases and storage services you already use, with no standalone vector database or data migration required. This post covers six purpose-built services, a decision framework for choosing the right engine, and customer proof points for each. Link …


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  • Build intelligent security for healthcare APIs with Amazon Bedrock

    calendar Aug 20, 2026 · aws.amazon.com/blogs/machine-learning
    Build intelligent security for healthcare APIs with Amazon Bedrock

    Learn how to add context-aware security monitoring to FHIR APIs using Amazon Bedrock. This post shows how to detect anomalous access patterns, classify data sensitivity automatically, and generate compliance reports in natural language, all without adding latency to clinical workflows. Link to article: …


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  • CritterWatch 1.0 is live!

    calendar Aug 20, 2026 · jeremydmiller.com
    CritterWatch 1.0 is live!

    CritterWatch 1.0 dropped yesterday, and you can read the official release on the JasperFx Software site. This blog post is just me being thankful for all the folks who helped build CritterWatch or test it along the way: And to Oskar Dudycz for all his contributions across the Critter Stack as much of CritterWatch are … …


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  • PyCharm for AI-assisted Django Workflows

    calendar Aug 20, 2026 · blog.jetbrains.com
    PyCharm for AI-assisted Django Workflows

    The 2026 Django Developers Survey (results coming soon!) found that AI is part of the weekly or daily workflow for 90% of respondents. AI can write code quickly, but Django developers still need to understand the application, evaluate what the agent produces, and be accountable for what ships. That makes your IDE more …


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  • Ready for Go 1.27 on Day One

    calendar Aug 20, 2026 · blog.jetbrains.com
    Ready for Go 1.27 on Day One

    Go 1.27 is here, and the release notes have plenty to explore. Language updates include generic methods, promoted field names in struct composite literals, and improved function type inference. Beyond the language itself, Go 1.27 expands go fix with new modernizers and adds a profile for finding goroutine leaks. These …


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  • Go 1.27.0-1 Microsoft build now available

    calendar Aug 20, 2026 · devblogs.microsoft.com
    Go 1.27.0-1 Microsoft build now available

    A new release of the Microsoft build of Go is now available for download. For more information about this release and the changes included, see the table below: Microsoft Release Upstream Tag Link to article: https://devblogs.microsoft.com/go/go-1-27-0-1-microsoft-build-now-available


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  • Go 1.26.7-1 and 1.25.14-1 Microsoft builds now available

    calendar Aug 20, 2026 · devblogs.microsoft.com
    Go 1.26.7-1 and 1.25.14-1 Microsoft builds now available

    A new release of the Microsoft build of Go is now available for download. These minor releases include a fix to address a breakage affecting unencrypted HTTP/2 (h2c) connections caused by a security patch included in last week’s release. See Link to article: …


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