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Assuming you haven’t been living under a rock, you’ve probably noticed that topics related to Artificial Intelligence (AI) are pretty well dominating most conversations about software development right now. I’d like to lay out the Critter Stack community and JasperFx‘s strategy is for AI assisted software development …
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The Agentic Data Operations Platform (ADOP) is a reference architecture on Amazon Bedrock that uses specialized AI agents to automate the full Bronze-to-Silver-to-Gold data pipeline lifecycle, compressing new-source onboarding from weeks to hours while keeping data governance and compliance controls inline. Link to …
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Give your AI agents governed, auditable access to enterprise tools without consolidating infrastructure. This post walks through a four-scope maturity model (Connect, Control, Catalog, and Harden) for building a governed tool gateway with Amazon Bedrock AgentCore, advancing only when real governance pain demands it. …
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Today I will modernize a .NET Framework application to .NET 10 using the GitHub Copilot modernization tooling built-in to Visual Studio. The tooling helps us upgrade applications running on legacy versions of .NET and also mig Link to article: …
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Input tokens are often a meaningful part of the cost of running Retrieval Augmented Generation (RAG) at scale. This post describes a query-aware context compression pattern on Amazon Bedrock: after retrieval, a smaller model filters retrieved chunks against the query before the primary model answers, reducing input …
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Panasonic Avionics worked with AWS and the AWS Generative AI Innovation Center to build an agentic AI system on Amazon Bedrock, Amazon SageMaker, and AWS Glue that diagnoses in-flight entertainment and connectivity (IFEC) issues across a global fleet, reducing diagnosis time from hours to minutes while maintaining …
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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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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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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 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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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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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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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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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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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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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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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 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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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 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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