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TechCrunch+ roundup: No-code MVP strategy, hiring under scrutiny, A/B growth testing

TechCrunch

Use discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription. In a comprehensive article that weighs development costs and technical debt against time to market , Chopra encourages readers to consider factors like product defensibility and risk before deciding whether to build or buy. .

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5 ways to maximize your cloud investment

CIO

To gain that insight he monitors ongoing usage and meets weekly or biweekly with internal business leaders — and with Microsoft, the city’s primary cloud service provider, to review current and future needs. The solution lies in making those teams understand they’re getting involved in innovation, not just a cost-cutting exercise.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

What operational and technical best practices can I integrate into how my organization builds generative AI LLM applications to manage risk and increase confidence in generative AI applications using LLMs? What are some ways to implement security and privacy controls in the development lifecycle for generative AI LLM applications on AWS?

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Matching Incident Management Roles and Responsibilities to Process

xmatters

At xMatters, like any other SaaS platform, our technology and software evolve often. We also moved to a service-based software architecture (SOA), which can scale to limit the impact of an incident to certain services and customers, leaving others unaffected. We had to clearly define the severity criteria for each incident type.

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ChatGPT for Developers: Key Use Cases in Software Development

Apiumhub

This language model can help you with coding, email creation, and essay writing and answer your inquiries. While AI can provide coding examples at present, in the future, AI models might aid engineers in answering questions about architectures and design patterns.

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AoAD2 Practice: Whole Team

James Shore

To share your thoughts, join the AoAD2 open review mailing list. Modern software development takes a lot of skills. Technical skills. A great team can produce technically excellent software without on-site customers, but to truly succeed, your software must also bring value to real customers, users, and your organization.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

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