Month: January 2026

The White House has rescinded software security compliance mandates due to concerns about administrative overhead. The Office of Management and Budget (OMB) issued Memorandum M-26-05 (PDF) which officially revokes the 2022 policy known as M-22-18 and its 2023 companion policy, M-23-16. This reversal alters the governance landscape for enterprise architects and platform engineers who service …

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Microsoft has made a large set of quantum development tools open source, bringing familiar programming environments like Visual Studio Code and GitHub Copilot into the early world of quantum computing. The update to the Quantum Development Kit is meant to help developers work with quantum systems without having to start from scratch with unfamiliar tools, …

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Malicious activity within software supply chains has evolved from opportunistic abuse into “sustained, industrialised” threats. This shift is creating a “systemic risk” to economic stability, national infrastructure, and public trust. Shane Barney, CISO of Keeper Security, suggests that for enterprises and public sector organisations, this reality “directly challenges traditional assumptions about software provenance, trust, and …

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In 2025, open-source consumption hit 9.8 trillion downloads across the four largest registries—a 67 percent increase year-over-year. This volume reflects a consumption model where CI/CD pipelines, ephemeral build environments, and aggressive caching strategies pull dependencies relentlessly. However, while shared building blocks accelerate delivery, the sheer weight of this consumption is cracking the commons. Brian Fox, …

Read more “Sonatype: Open-source consumption jumps 67%”

With the release of Ai2’s open coding agents, developers have a new method for writing and testing software that promises to slash costs. Coding agents allow engineering teams to automate debugging, refactoring, and even the submission of pull requests. However, most high-performance agents are proprietary, expensive to train, and unable to interact securely with private …

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Software teams inside large companies have been testing AI coding tools for more than a year, but many of those efforts stayed limited to pilots or optional experiments. That appears to be changing inside Microsoft, where Anthropic’s Claude Code is now being used more widely across internal engineering teams for everyday development work. The wider …

Read more “Microsoft’s engineers are treating AI coding tools as standard practice”

AI-generated code is not experimental. It is actively running in production environments in SaaS platforms, fintech systems, marketplaces, internal tools, and customer-facing applications. From AI copilots assisting developers to autonomous agents opening pull requests, the volume of machine-generated code entering production has increased dramatically. The shift has created a new operational challenge: how do you …

Read more “Best 5 tools for monitoring AI-generated code in production environments”

For years, Android developers have had to work around one hard reality: platform updates move unevenly. New versions arrive, but adoption can take months, if not longer. Security patches, system changes, and API updates frequently land in fragments, leaving teams to support a mix of Android versions at the same time. That pattern is starting …

Read more “Android updates are changing, and developers will feel it in 2026”

HackerOne has released a new framework designed to provide the necessary legal cover for researchers to interrogate AI systems effectively. As generative models become integrated into enterprise stacks, the line between helpful stress-testing and malicious exploitation has blurred. For software engineers and security teams, this lack of definition presents a practical hurdle: how to test …

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Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance. The latest release from the Burn team, version 0.20, attempts to address this friction by unifying CPU and GPU execution models. This consolidation offers a path to reduce technical debt while potentially increasing inference speed on commodity hardware. Deep learning frameworks have …

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