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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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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 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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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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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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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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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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With a fixed deadline and design resources committed elsewhere, Stampli used Codex and ChatGPT Work to compress weeks of launch production into days. Link to article: https://openai.com/index/stampli
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Web Search on Amazon Bedrock AgentCore now supports runtime domain and published-date filtering. New per-request filters give developers per-call control over which web sources their agents consult and how fresh those sources must be, all enforced server-side. This release also expands Web Search to the Europe …
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Classifying, extracting, and validating high volumes of documents is a challenge across banking, insurance, healthcare, and the public sector. See how a mid-size mortgage lender automates its entire document intake pipeline, from email to validated data, using the AWS GAIIC IDP Accelerator and Amazon Quick Automate. …
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In this post, you learn three serverless patterns (task-token callback, direct service integration, and durable functions) for invoking Amazon Bedrock AgentCore agents asynchronously from AWS Step Functions pipelines, eliminating idle compute costs while your AI agent processes requests. Link to article: …
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If you’ve been building local prototypes, internal tools, web backends, or lightweight services on SQL Server Express, you know the routine: it’s free, familiar, and gets the job done – until you hit hardware limits or spend weekends manual backup scripts and handling OS patches. Learn how to upgrade from SQL Server …
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Fanatics Betting and Gaming built a multi-agent customer support system on AWS to handle the complexity of sports betting: state-specific rules, real-time responsible gaming, and traffic spikes during major sporting events. This post walks through the architecture, the AWS services involved, and the patterns for your …
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KnowledgeForge mines resolved ITSM incident tickets into new knowledge base articles and automatically curates the existing library by deduplicating, quality-scoring, and improving content, using Amazon Bedrock, Amazon S3 Vectors, and AWS Step Functions in a multi-tenant, closed-loop pipeline. Link to article: …
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OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data privacy. Link to article: https://openai.com/index/offering-zero-data-retention-for-frontier-models
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So, you broke apart your monolith. You introduced a message broker. You’re using event driven architecture. Events are flying everywhere. You’re decoupled now, right? But somehow nothing feels any better because your system is still really brittle. YouTube Check out my YouTube channel, where I post all kinds of content …
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