Articles about AI Development

Vibe coding is currently all the rage, with more than 97 percent of respondents to a survey earlier this year reporting having used AI coding tools at work.

The adoption of these tools only continues to grow but it comes with a catch, attackers are also employing the same techniques. We spoke to Pieter Danhieux, co-founder and CEO of Secure Code Warrior, to discuss how vibe coding is redefining the software development landscape, how malicious actors are also leveraging this technology and the need for organizations to implement secure by design strategies from the outset.

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A survey of 800 senior developers has 75 percent of respondents saying they expect AI to significantly transform the industry within the next five years. What’s more 53 percent say they believe large language models can already code better than most humans.

The survey, from Clutch, reveals that AI has already become a daily tool for many software teams. 49 percent of senior developers and team leads say they use AI tools every day. Another 29 percent use them most days, meaning 78 percent rely on AI regularly.

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AI is revolutionizing how software gets built, making the process faster, smarter, and more autonomous. But it also introduces more risk than we’ve ever seen and challenges application security, which wasn’t designed for AI-driven development processes.

In response to this Legit Security is launching Legit MCP (Model Context Protocol) Server. This new offering brings application security posture management (ASPM) to AI-led development, making vulnerability management simpler.

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According to recent projections from Gartner, by 2028 90 percent of enterprise software engineers will use AI code assistants, up from less than 14 percent in early 2024. But relying on AI in development roles also introduces risks.

Snyk is launching a new AI-native agentic platform specifically built to secure and govern software development in the AI Era.

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Microsoft is introducing new features in its AI Copilot program with Copilot Labs, a platform designed to test advanced tools on a limited scale before releasing them widely. The goal is to gather user feedback and refine the features, prioritizing both innovation and safety.

The first feature being rolled out is called “Think Deeper.” This tool allows Copilot to handle more complex tasks, providing detailed, step-by-step responses to queries like math problems or project cost analysis. Think Deeper takes more time to process information and aims to deliver thorough answers. It is currently available to a limited number of Copilot Pro users in the United States, United Kingdom, Australia, and Canada.

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Sony Semiconductor Solutions (SSS) and Raspberry Pi Ltd have teamed up to introduce a new product for AI enthusiasts. The Raspberry Pi AI Camera, compatible with all Raspberry Pi single-board computers, is designed to streamline the development of AI solutions by processing visual data directly at the edge. The AI Camera is available today for $70.

This collaboration is a result of SSS’s minority investment in Raspberry Pi Ltd back in April 2023. Since then, the companies have worked together to create an edge AI platform tailored to Raspberry Pi’s developer community. The key feature of the AI Camera is its use of SSS’s IMX500 intelligent vision sensor. This innovative sensor allows AI processing to happen directly on the chip, eliminating the need for additional hardware like GPUs or accelerators, which are traditionally required for handling large-scale visual data.

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Microsoft and BlackRock's growing partnership on AI infrastructure may raise a few eyebrows, but should it really spark concern? With the recent announcement of the Global AI Infrastructure Investment Partnership (GAIIP), these corporate titans have aligned with Global Infrastructure Partners (GIP) and MGX to dive headfirst into AI development. They plan to pour billions into massive data centers and new energy infrastructure, with the goal of dominating the future of artificial intelligence.

But this alliance could mean more than just advancements in technology. The partnership initially aims to leverage $30 billion in private equity, with an eye toward unlocking a staggering $100 billion in total investment potential. That’s a massive financial influx designed to consolidate power in the hands of a few major players. And who benefits? Microsoft and BlackRock, alongside their global allies, could soon hold an outsized influence on critical AI infrastructure that the world will come to rely on.

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A new survey of 401 tech professionals from Leapwork shows that only 16 percent of businesses think their current testing practices are efficient.

Interestingly, AI could be making this worse, although 85 percent of total respondents have integrated AI apps into tech stacks in the past year, most (68 percent) have experienced issues with their performance, accuracy, and reliability.

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Everyone is keen to embrace AI, but turning an idea into a workable application isn't that easy. B2B commerce platform AppDirect is launching a new marketplace and creation studio that boosts organizations’ ability to create, adopt, and benefit from AI apps.

AppDirect AI allows users to easily transform AI app ideas into reality without needing any coding skills, while also giving them the freedom to choose the most suitable large language model (LLM) provider for their business needs.

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The fear of software developers losing their jobs to AI is a concern for many people in the industry, but are these fears really justified?

Mike Loukides, VP of emerging tech content at O'Reilly Media, believes that AI can enhance the developer role rather than replace it. We spoke to him to find out how, with the right tools and training, the endpoint of this AI revolution won't lead to unemployment, but rather to better software.

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In a powerful collaboration with Accenture, Intel has rolled out an impressive collection of 34 open-source AI reference kits. These kits are potential game-changers, aimed at simplifying and speeding up the process of deploying AI for data scientists and developers.

Think about it, dear readers -- every kit is a treasure chest of AI tools. Inside, you'll find model code, training data, instructions for setting up the machine learning pipeline, libraries, and oneAPI components. All of these are designed to optimize AI and make it more accessible, regardless of whether you're working in an on-premises, cloud, or edge environment.

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