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In Cursor, you can connect any LLM via API that is compatible with the OpenAI request format. This means you can connect Claude via API and pay for tokens. However, if you have a Claude subscription, you can only use it in Claude Code. There, the request format is Anthropic, which differs from OpenAI. You cannot take your Claude subscription and add it to Cursor because the request formats are incompatible. You cannot make requests to the Claude […]

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In a spirit of openness and with radical thinking, the followers or”deadheads” of the band the Grateful Dead took recordings of concerts and shared them freely. This was encouraged by the band members and “deadheads” are still active in this to this day. Open Source, I believe, has a similar ethos. In my experience as a systems engineer and programmer early on I, perceived infrastructure as something that could by its nature be expressed as code. I sought […]

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I love my job because, surprisingly, over the years it keeps becoming more and more non-trivial and engaging. My story of implementing automatic eSIM installation was interesting because it was developed blindly, without any possibility to test the functionality at the time of development. This article will discuss both eSIM itself and my curious story around it. Core Concepts Starting from Android 9 (API level 28), it became possible to work with eSIM. This functionality can be implemented […]

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Ultrasonic metal welding (UMW) is widely used in industrial applications but is sensitive to tool wear, surface contamination, and material variability, which can lead to unexpected process faults and unsatisfactory weld quality. Conventional monitoring systems typically rely on supervised learning models that assume all fault types are known in advance, limiting their ability to handle previously unseen process faults. To address this challenge, this paper proposes an adaptive condition monitoring approach that enables unknown fault detection and few-shot […]

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Effective IT change management is important for businesses that depend on software and services, particularly in highly regulated sectors such as finance, where operational reliability, auditability, and explainability are essential. A significant portion of IT incidents are caused by changes, making it important to identify high-risk changes before deployment. This study presents a predictive incident risk scoring approach at a large international bank. The approach supports engineers during the assessment and planning phases of change deployments by predicting […]

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Before you can govern agentic identities, you have to see them. All of them. The rise of Microsoft Copilot Studio and Power Virtual Agents has quietly created a new class of identity problem. Every agent an employee builds gets its own Entra ID object — sometimes two. At scale, a large enterprise can accumulate thousands of these registrations before anyone in the security or identity team has written a single governance policy for them. The instinct is to jump straight to policy: […]

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A central challenge in continual learning is forgetting, the loss of performance on previously learned tasks induced by sequential adaptation to new ones. While forgetting has been extensively studied empirically, rigorous theoretical characterizations remain limited. A notable step in this direction is citet{evron2022catastrophic}, which analyzes forgetting under random orderings of a fixed task collection in overparameterized linear regression. We shift the perspective from order to distribution. Rather than asking how a fixed task collection behaves under random orderings, […]

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arXiv:2604.09868v1 Announce Type: new Abstract: Industrial standards and normative documents exhibit intricate hierarchical structures, domain-specific lexicons, and extensive cross-referential dependencies, which making it challenging to process them directly by Large Language Models (LLMs). While Retrieval-Augmented Generation (RAG) provides a computationally efficient alternative to LLM fine-tuning, standard “vanilla” vector-based retrieval may fail to capture the latent structural and relational features intrinsic in normative documents. With the objective of shedding light on the most promising technique for building high-performance RAG […]

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arXiv:2604.09866v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have shown the promise to significantly accelerate the workflow by automating structural modeling and analysis. However, existing studies primarily focus on enabling LLMs to operate a single structural analysis software platform. In practice, structural engineers often rely on multiple finite element analysis (FEA) tools, such as ETABS, SAP2000, and OpenSees, depending on project needs, user preferences, and company constraints. This limitation restricts the practical deployment of […]

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arXiv:2604.09863v1 Announce Type: new Abstract: The goal of domain adaptation is to make predictions for unlabeled samples from a target domain with the help of labeled samples from a different but related source domain. The performance of domain adaptation methods is highly influenced by the choice of source domain and pre-trained feature extractor. However, the selection of source data and pre-trained model is not trivial due to the absence of a labeled validation set for the target domain […]

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