Microsoft continues to bet big on AI and the company has created a new artificial intelligence engineering division called CoreAI. The new development-focused unit is headed by Jay Parikh -- once Meta's VP and global head of engineering -- and the intention is to speed up AI infrastructure and software development at Microsoft.

CEO Satya Nadella describes 2025 as being "about model-forward applications that reshape all application categories". Nadella clearly wants to power forward in what he says is the "next innings of this AI platform shift".

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GraphQL -- in case you haven't heard of it -- is a rapidly rising query and manipulation language for APIs. It's designed to make APIs fast, flexible and developer-friendly, and it moves the complexity of data fetching from the client to the server side.

We spoke to Pete Crocker, director of solutions engineering at OpsMill, to learn why it's increasingly being employed as an alternative to the more established REST API.

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Newly released usage data from the O'Reilly online learning platform reveals that interest in AI-related skills has surged dramatically, with the most pronounced usage increases seen in topics like prompt engineering (456 percent increase), AI principles (386 percent increase), and generative AI (289 percent increase).

Use of content about GitHub Copilot has seen a dramatic increase too, by an impressive 471 percent, reflecting developers’ enthusiasm for tools that enhance productivity.

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Citing an “unexpected change”, Microsoft has issued a warning to software developers to update their .NET Install links.

Microsoft is describing the situation as “critical”, and it comes after the bankruptcy of Edgio, a company responsible for hosting some .NET-related Content Delivery Network (CDN) instances. Developers are being told to take immediate action in order to avoid problems.

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In the past year economic and business pressures, the rise of AI technologies talent shortages and more have put a strain on code pipelines and increased demands on developer teams. This in turn leads to fears around developer strain, product launch timescales and cybersecurity risks.

So what might 2025 have in store for developers? Here's what some industry experts think.

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With the increasing importance of observability in digital operations, businesses need to ensure the reliability and relevance of their telemetry data in order to maintain system and application performance, debug, troubleshoot, respond to incidents and keep their systems secure.

We spoke to Tucker Callaway, CEO of Mezmo, to discuss the strategic considerations and concerns enterprises face in managing and optimizing their telemetry data.

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The use of container images is growing fast thanks to their flexibility and convenience, but they can also represent a weak cybersecurity link in software supply chains.

A new report from NetRise looks at the scope and scale of the components and risks found across 70 of the most commonly downloaded Docker Hub container images.

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Free and Open Source Software (FOSS) has become a critical part of the modern economy and it's estimated that up to 96 percent of codebases now include it.

In order to understand the impact of open source The Linux Foundation, in collaboration with the Laboratory for Innovation Science at Harvard, commissioned its latest study into the space and today announces the release of the Census III of Free and Open Source Software -- Application Libraries report.

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Generative AI (GenAI) holds a lot of promise for software developers: an ability to help them ship code faster, improve productivity, and reduce time spent on menial and repetitive tasks. But how much of that promise are GenAI coding tools actually delivering -- and how much is hype?

We spoke with Matt Hoffman, product manager and data analyst at Uplevel, an engineering intelligence platform that uses data from across developer tools and collaboration platforms to help engineering leaders drive organizational improvements. Uplevel's data science team, Uplevel Data Labs, recently studied the impact of Copilot usage on developer productivity.

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The open source software supply chain shows signs of 'AppSec exhaustion,' with organizations showing diminished engagement in security practices and struggling to meet vulnerability management goals, according to a new report.

The study from Snyk, based on a survey of 453 professionals across application development and security, shows that open-source security is more important than ever, as hackers have recognized the efficiency of targeting open-source software as a single entry point to multiple orgs.

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High-quality retrieval is key to delivering the best user experience in AI search and retrieval-augmented generation (RAG) applications.

Knowledge platform Pinecone has announced new vector database capabilities combined with proprietary AI models to help developers build more accurate AI applications, faster and more easily.

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You may have heard of RISC-V -- usually pronounced 'risk-five' -- it's an instruction set architecture originally designed to support computer architecture research and education but which has evolved to become a standard open architecture for industry.

We spoke to Calista Redmond, CEO of standards body RISC-V International to find out more about the latest developments.

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Most developers (85 percent) and security teams (75 percent) have security concerns over relying on GenAI to develop software.

A report from Legit Security, based on a survey of over 400 security professionals and software developers across North America, finds 96 percent of security and software development professionals report that their companies use GenAI-based solutions for building or delivering applications.

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Most organizations now recognize that some form of cybersecurity breach is a matter of when rather than if. So why not just assume that the site has been breached in the first place?

That’s exactly what Tide Foundation has done with its new platform. TideCloak is an identity, immunity, and access management system that starts with a 'breach assumed' approach.

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Many in the industry believe that AI is degrading because it's being starved of human-generated data. This leads to models being trained on the output of older models which increases the risk of hallucinations and errors.

But how big an issue is this and what can we do to fix it? We spoke to Persona CEO and co-founder, Rick Song to find out.

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