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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. That’s what we call an AI software engineering agent.

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AI coding agents come with legal risk

CIO

AI coding agents are poised to take over a large chunk of software development in coming years, but the change will come with intellectual property legal risk, some lawyers say. The same thing could happen with software code, even though companies don’t typically share their source code, he says.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. The chatbot wave: A short-term trend Companies are currently focusing on developing chatbots and customized GPTs for various problems. An overview. An overview.

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Empower Developers to Secure AI Applications Through Code

Palo Alto Networks

Some customers have told us they want to stop threats at the network layer with no app changes, while others want to detect and prevent threats in app code without changing their network, and ​​some want to do defense-in-depth with both options. Sample code template generated for developers to embed.

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Use Git data to optimize your developers’ annual reviews

TechCrunch

Summarizing the performance of 10, 20 or 50 developers over the past 12 months, offering personalized advice and having the facts to back it up — is no small task. So here’s a run down of why you need data to set up a fair annual review process; if not this year, then you can kick-start it for 2021. Use data to set next year’s goals.

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Integrate foundation models into your code with Amazon Bedrock

AWS Machine Learning - AI

These powerful models, trained on vast amounts of data, can generate human-like text, answer questions, and even engage in creative writing tasks. However, training and deploying such models from scratch is a complex and resource-intensive process, often requiring specialized expertise and significant computational resources.

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Digital transformation 2025: What’s in, what’s out

CIO

Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. CIOs must also drive knowledge management, training, and change management programs to help employees adapt to AI-enabled workflows.