Apr 01, 2025 | Today’s news and insights developers
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Microsoft’s .NET MAUI lets developers build cross-platform apps in C#, but its use of binary blob files poses new risks by bypassing Android’s DEX-based security checks. |
Anthropic’s Model Context Protocol is effectively a universal language that can be used to develop two-way connections between a wide range of AI models and third-party data sources. |
Dev teams face many hurdles in their quest to write secure code and resolve code security issues. To discover those pain points and learn how companies can better support dev teams, read this report that explores what developers think about AppSec in 2025. |
Boost your organization’s recruitment of a Microsoft Power BI developer with our comprehensive hiring kit. Read More |
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This short survey will help us understand the role that your organization's sustainability concerns plays in IT decision-making and which technologies might help address your IT sustainability goals. Your feedback is invaluable, and your responses will be aggregated with others for reporting purposes, keeping your identity confidential. |
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Compare platform and product design approaches for business needs. Understand their differences and compare them to find the best fit for your use case. |
Essential collection of security and testing tools and framework for your Ansible automation. Reduce the security risk using the tools. |
Enhance your recruitment process with our in-depth 10-page document. Previously priced at $19, this is now available for download at just $9. Read More |
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Discover how DevSecOps enhances security in multi-cloud ecosystems, enabling safe implementation and addressing key challenges with effective strategies. |
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Learn how Microsoft’s AI reasoning agents Researcher and Analyst work and when these tools will be available. |
The business prospect: making it easier for companies to build their own AI agents. The context: Even the most successful AI companies are still working on how to generate revenue that justifies investments. |
By integrating post-processing validation, RAG, and customizable guardrails, developers can bridge the gap between prototyping and production in LLM applications. |
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