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In this post, we share how msg automated data harmonization for msg.ProfileMap, using Amazon Bedrock to power its large language model (LLM)-driven data enrichment workflows, resulting in higher accuracy in HR concept matching, reduced manual workload, and improved alignment with compliance requirements under the EU AI …
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As engineers we know how frustrating it can be to chase and fix performance issues without clear guidance. That’s why we built Application Insights Code Optimizations — to give you actionable insights, reduce the guesswork, and help you focus on what you do best: building great softwar Link to article: …
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Wolverine has long had some ability to schedule some messages to be executed at a later time or schedule messages to be delivered at a later time. The Wolverine 4.12 release last night added some probably overdue test automation helpers to better deal with scheduled messaging within integration testing against …
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Some time ago, people noticed that buried in the Windows Bluetooth drivers is the hard-coded name of the Microsoft Wireless Notebook Presenter Mouse 8000. What's going on there? Does the Microsoft Wireless Notebook Presenter Mouse 8000 receive favorable treatment from the Microsoft Bluetooth drivers? Is this some sort …
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That study claiming "95% of AI POCs fail" has been making the rounds. It's clickbait nonsense, and frankly, it's not helping anyone. The real number? Nobody knows, because nobody's tracking it properly. But here's what I do know after years of watching teams build AI systems: the study masks a much more …
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Codex just got faster, more reliable, and better at real-time collaboration and tackling tasks independently anywhere you develop—whether via the terminal, IDE, web, or even your phone. Link to article: https://openai.com/index/introducing-upgrades-to-codex
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“Not a constant expression.” You’ve seen the diagnostics and the note trail, but never the actual state. Until now. Modern C++ pushes more logic into constexpr/consteval: parsers, tables, DSLs, hashing – real code with real branches. When code fails at compile time, you can either try to guess the reason from the …
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New research from the largest study of ChatGPT use shows how the tool creates economic value through both personal and professional use. Adoption is broadening beyond early users, closing gaps and making AI a part of everyday life. Link to article: https://openai.com/index/how-people-are-using-chatgpt
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This addendum to the GPT-5 system card shares a new model: GPT-5-Codex, a version of GPT-5 further optimized for agentic coding in Codex. GPT-5-Codex adjusts its thinking effort more dynamically based on task complexity, responding quickly to simple conversational queries or small tasks, while independently working for …
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Use auto model selection in VS Code to get faster responses, reduced rate limiting, and a 10% discount on premium requests for paid users. Read the full article Link to article: https://devblogs.microsoft.com/vscode-blog/introducing-auto-model-selection-(preview)
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DistinctConcurrentBag in Spargine is a thread-safe, unordered collection that ensures uniqueness of elements, preventing duplicates. It offers methods for adding, removing, checking, and enumerating items, making it ideal for concurrent programming in .NET. For blocking behavior with uniqueness, …
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Welcome to another issue of Dev Leader Weekly! In this issue, I discuss how I approach software engineering interviews as the interviewer. Link to article: https://devleader.ca/2025/09/13/the-other-side-of-engineering-interviews-dev-leader-weekly-109
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Check out this week from Dev Leader! Here's a list including articles and videos on software engineering, career development, and programming in C#! Link to article: https://devleader.ca/2025/09/13/weekly-recap-20250912
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Learn how Vertical Slice Architecture organizes .NET code by business features instead of technical layers, keeping related functionality together and making your codebase easier to navigate and maintain. Link to article: https://www.milanjovanovic.tech/blog/vertical-slice-architecture-is-easier-than-you-think
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In this post, we walk through how to streamline your RAG development lifecycle from experimentation to automation, helping you operationalize your RAG solution for production deployments with Amazon SageMaker AI, helping your team experiment efficiently, collaborate effectively, and drive continuous improvement. Link …
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In this post, we explore how log probabilities work with imported models in Amazon Bedrock. You will learn what log probabilities are, how to enable them in your API calls, and how to interpret the returned data. We also highlight practical applications—from detecting potential hallucinations to optimizing RAG systems …
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This post provides a systematic approach to migrating from Anthropic’s Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock. We examine the key model differences, highlight essential migration considerations, and deliver proven best practices to transform this necessary transition into a strategic advantage that …
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Have you given a talk before – maybe at a meetup, online event, or a smaller conference – and wondered if you’re ready for a bigger stage like KotlinConf? This supportive and practical webinar is designed for people from underrepresented groups in tech who already have some speaking experience and are ready to level …
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A customer had an app with a plugin model based on vendor-supplied COM objects that are loaded into the process via CoCreateInstance. Main process Link to article: https://devblogs.microsoft.com/oldnewthing/20250912-00/?p=111589
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OpenAI shares progress on the partnership with the US CAISI and UK AISI to strengthen AI safety and security. The collaboration is setting new standards for responsible frontier AI deployment through joint red-teaming, biosecurity safeguards, and agentic system testing. Link to article: …
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