Low code development platform
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Low code development platform
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Overview of Low-code 
Overview of Low-code KyanonDigitalOfficia This document discusses low-code development platforms. It defines low-code as a visual approach to software development that abstracts and automates the application development lifecycle. The document outlines key benefits of low-code like greater productivity, decreased costs, and easy maintenance. It also examines the large and growing low-code market, identifying industries that commonly use low-code and leaders in the low-code platform space. Analyst predictions suggest over 65% of applications will use low-code by 2024 due to the speed and efficiency it provides compared to traditional development.
Low code application platforms
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Low code application platforms accelerate app delivery by dramatically reducing the amount of hand coding required. Faster delivery is the primary benefit of these application platforms; they also help firms respond more quickly to customer feedback after initial software releases.
While to benefits are clear - this does not mean they are always the best choice for your business. Equally, it should not always be an either/or choice between one platform or another.
These slides describe some of the things to consider when choosing a development platform. Please get in touch if you would like an unbiased discussion on how to choose the best platform for your needs.
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Low code platform and Outsystems 
Low code platform and Outsystems Dzung Nguyen Low code development platforms allow users to create web applications using drag-and-drop tools and metadata models with some code additions. Outsystems is a leading low code platform that offers built-in services and handles deploying, running, scaling, and managing applications. It focuses on visual configuration of data models, declarative business logic and workflows, drag-and-drop user interfaces, and development process guardrails.
Low Code Application Development Platform
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Societal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
Explaining GitHub Actions Failures with Large Language Models Challenges, In...
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185 GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
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Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
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How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...
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Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
Secure Test Infrastructure: The Backbone of Trustworthy Software Development
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Exploring Wayland: A Modern Display Server for the Future
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Interactive odoo dashboards for sales, CRM , Inventory, Invoice, Purchase, Pr...AxisTechnolabs Interactive Odoo Dashboard for various business needs can provide users with dynamic, visually appealing dashboards tailored to their specific requirements. such a module that could support multiple dashboards for different aspects of a business
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Meet the Agents: How AI Is Learning to Think, Plan, and Collaborate
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Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)
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