SD Times

The leading site for software developers and development managers, offering news, analysis, podcasts, and live webinars on a range of topics.

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AI Budgets allows organizations to set spending limits by team, developer, model or project. @Harness

https://t.co/AJMRe9E6jG

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A roundup of the day's news focused around AI development with PyTorch, building AI agents, and controlling the costs of AI.
@AMD @Intel @SnapLogic @Flexera

https://t.co/rtUTb0RY04

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Nexus Repository Pro+ screens every open source package, AI model, and MCP server the moment a developer or AI agent requests it. Anything malicious, vulnerable or out-of-policy is automatically blocked or quarantined before it reaches a build. @sonatype
https://t.co/RQsNjnq9v2

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The question is no longer whether engineering teams can build software quickly enough. The question is whether organizations can consistently identify the most valuable opportunities to pursue. @Gartner
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Here's this week's episode of "What the Dev?" looking at the issue of enterprise metadata management, with Christian Bremeau, founder and CEO of
@Meta Integration

https://t.co/bQwQ4c9guY

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A new employee’s first weeks are spent getting access to tools, systems, and data. Agent onboarding is the same. @Solace

https://t.co/hJY7dsXqg9

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The npm v12 release includes security that blocks malicious package life cycle scripts from being introduced at installation. That just means that attacks will now move to the runtime. @checkmarx

https://t.co/AasfL8JRYj

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These capabilities, GitLab said, help create a governed system “for orchestrating, securing and optimizing software development” and move organizations beyond shadow software factories. @GitLab

https://t.co/M5OCXw7IZG

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Appfire’s latest products address distinct challenges across security, software development, and enterprise workflows — each rooted in real challenges Appfire encountered across its own engineering teams. @Appfire
https://t.co/ulbKu0BRB2

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Organizations are facing a fundamental challenge: gaining the visibility needed to understand where technology investments are going, who owns them and whether they’re delivering meaningful business value. @flexera
https://t.co/nOpAp8b1ez

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There is an AI confidence gap between leaders who have a lot or complete trust in AI testing its own code, and the developers who see things differently. @smartbear
https://t.co/49o6FPDxca

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While quantum hardware keeps evolving, quantum software has gone much further than many realize. @classsiq

https://t.co/C9MuR6A2Fi

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A more secure, cost-friendly Opus family model? Yes, please! @anthropic

https://t.co/2neGVyrXH3

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This gives users more model choice to which to delegate their work, and according to Microsoft’s announcement, GPT-6 Astra will enable users to delegate larger tasks, while the users can review the work and make decisions that can move work forward.
https://t.co/bbMvkr80LS

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For years, AI on the mainframe was often experimental. Companies now view AI as an operational tool. However, they want AI to provide insight and advice, but they are not ready to give it full control. @BMC
https://t.co/kEIp9ENufD

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Wrapping a REST API as a Model Context Protocol server takes about 20 minutes. Wrapping it so that an agent uses it correctly takes considerably longer, and the difference is almost entirely in decisions that do not look like code decisions. @melissa

https://t.co/LFS8gZssIs

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Platform Engineering 2.0 extends the self-service, paved-road model of traditional platform engineering to support autonomous AI agents alongside human developers.
https://t.co/5k8f1Matgj

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One of the big complaints engineers working with AI have is that it has no memory, so users basically have to start from scratch every day. It was Groundhog Day for engineering. @Anthropic
https://t.co/VzxFaNcogD

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Modern distributed systems break the old rules of API testing, and static mocks simply can't keep up with today's complexity. Join us to see how service virtualization gives engineering and QA teams the ability they need to test with confidence.@Parasoft

https://t.co/6y3G03rk6e

[SD Times @sdtimes]

Maestro Flow closes that gap. Builders can use the coding agents they already rely on—including Claude Code, Cursor, GitHub Copilot, and Codex—to design, run, observe, and govern complete business processes as a single artifact @UiPath
https://t.co/lHTnvKyRyV