# DevFeed topics Public entries with published articles. This directory is paginated. - [.NET](): .NET is a free, open-source, cross-platform developer platform for building applications and cloud services. - [.NET Conf](): An annual virtual conference focused on .NET development, product announcements, tools, frameworks, and technical sessions. - [.NET Framework](): .NET Framework is a Windows-only version of .NET for building client and server applications. - [.NET MAUI](): .NET MAUI is a .NET framework for building native, cross-platform desktop and mobile apps from a shared C# codebase. - [.env](): .env is a file format for storing environment-variable configuration separately from application code. - [1.1.1.1](): 1.1.1.1 is Cloudflare's public DNS resolver, supporting DNS over HTTPS and DNS over TLS. - [10 Gigabit Ethernet](): 10GBe networking is 10 Gigabit Ethernet networking involving high-speed links between network interfaces and switches. - [1Password](): 1Password in the browser is a browser extension for managing passwords, passkeys, authentication codes, and other secure information. - [3D](): 3D technology is used in a wide range of fields, including film, video games, architecture, engineering, and product design. It allows designers to create digital models of objects that can be manipulated and rendered in three dimensions. 3D modeling software is used to create and manipulate 3D models, and 3D animation software is used to create movement and effects within those models. 3D technology has also been adopted for use in 3D printing, where physical objects can be created from digital models. - [3D graphics](): 3D graphics is a computing discipline involving three-dimensional geometric representations, modeling, animation, and rendering. - [3D modeling](): 3D modeling is the computer-based process of creating mathematical, three-dimensional representations of physical objects using CAD software. - [3D rendering](): 3D rendering is the process of converting a three-dimensional scene representation into a two-dimensional frame, commonly using graphics hardware and rendering pipelines. - [3D visualization](): The process of creating three-dimensional images of objects, environments, or data using computer-generated graphics, including modeling, lighting, texturing, and rendering. - [3D web development](): 3D web development uses WebGL and related web technologies to create interactive 3D graphics and applications in browsers. - [3dmark](): 3DMark is a cross-platform benchmarking application for testing gaming and graphics performance on PCs, smartphones, tablets, and other devices. - [4g lte](): 4G LTE is a fourth-generation mobile networking technology, also called Long Term Evolution, that provides high-speed wireless data and voice services. - [5G](): 5G is a fifth-generation mobile telecommunications system with radio access, core-network, and standalone/non-standalone network architectures. - [64GB RAM](): 64GB RAM is a computer memory capacity consisting of 64 gigabytes of random access memory used for fast, temporary data storage. - [802.15.4](): IEEE 802.15.4 is a standard defining PHY and MAC specifications for low-data-rate wireless connectivity among fixed, portable, and moving devices. - [90s web design](): Web design practices and aesthetics associated with the 1990s, including table-based layouts, animated GIFs, blink tags, Flash, and Java applets. - [A/B Testing](): A/B testing compares two or more versions or configurations by assigning participants to variants and analyzing results to determine which performs better against a defined goal. - [A2A protocol](): A2A (Agent2Agent) is an open standard protocol that enables communication and collaboration between AI agents. - [ABAP](): ABAP is an SAP programming language for programming applications and enhancing SAP systems. - [ACR](): Automatic content recognition (ACR) is technology that identifies audio or visual media using fingerprints or watermarks and can deliver associated information or content. - [ADB Wi-Fi 2.0](): ADB Wi-Fi 2.0 is a wireless Android Debug Bridge feature introduced with adb 37.0.0 to improve usability, including automatic workstation connections on trusted wireless networks. - [AI Agent](): An AI agent is a goal-directed software system that autonomously plans and executes tasks by dynamically using tools and evaluating results. - [AI Architecture](): AI architecture is the design of layered, modular AI systems, including orchestration, model inference, data retrieval, monitoring, security, and storage. - [AI Bots](): AI-powered automated software agents and crawlers that access web content or act on users' behalf. - [AI Chat](): AI chat software combines conversational interfaces with artificial intelligence models to generate responses, answer questions, and support interactive tasks. Projects in this topic include web and desktop chat applications, developer libraries for building chat interfaces, self-hosted assistants, and integrations that connect language models with tools, data, and multimodal input. - [AI Context Management](): AI context management is the practice of deciding what an AI system remembers, retrieves, and forwards into each model call so that multi-turn conversations stay coherent. - [AI Context Switching](): A technique for switching an AI agent's conversational context during a call by applying a new system prompt, user prompt, and context-consolidation behavior. - [AI Development](): The practice of developing machine-learning and artificial-intelligence applications, models, tools, and frameworks. - [AI Engineering](): An emerging engineering discipline that combines systems engineering, software engineering, computer science, and human-centered design to create scalable, robust, and secure AI systems. - [AI Factory](): Specialized computing infrastructure optimized for the AI lifecycle, including data ingestion, training, fine-tuning, and high-volume inference. - [AI Foundation Models](): AI foundation models are models trained on vast or broad datasets with substantial computing resources, then adapted or fine-tuned for a wide range of downstream tasks. - [AI Infrastructure](): AI infrastructure comprises the compute, data, orchestration, and control-plane layers used to run training and inference workloads, along with tooling to provision, govern, and operate them. - [AI Integration Strategies](): AI integration strategies are structured methods and architectural decisions for embedding artificial intelligence into existing systems, applications, processes, and workflows, including data pipelines, APIs, infrastructure, and model lifecycle management. - [AI Models](): AI models are programs trained on data to recognize patterns and make predictions or decisions, using algorithms and computing resources. - [AI Networking](): AI networking integrates AI and machine learning with networking systems to improve network performance, security, automation, and support for AI workloads at scale. - [AI Platform](): A computing platform that integrates tools and infrastructure for developing, deploying, and operating AI workloads. - [AI Prompt Templates](): Reusable text structures with variable slots that define instructions, context, output format, and constraints for AI tasks. - [AI Research](): Research into artificial intelligence technologies, including foundational and applied work. - [AI Sandbox](): An AI sandbox is an isolated execution environment used to run untrusted code, including code generated by large language models. - [AI Shell](): Interactive command-line shell with a chat interface for AI language models and assistance providers. - [AI Strategy](): An organizational approach for planning, prioritizing, and governing the adoption and development of artificial intelligence systems. - [AI Trends](): An AI trend is an emerging pattern in how artificial intelligence solves problems or creates possibilities in business and technology. - [AI agent hallucinations](): AI agent hallucinations are instances where an AI agent generates or states information that is unsupported, fabricated, or factually incorrect, including incorrect developer-facing API guidance. - [AI agents in autonomous vehicles](): AI agents in autonomous vehicles are intelligent software systems that use sensor data and algorithms to interpret driving environments, make decisions, and control functions such as steering, braking, and obstacle detection. - [AI chatbot continuity](): A mechanism that enables AI chatbots to retain and recall conversation information across sessions. - [AI connector platforms](): AI connector platforms connect AI assistants to external applications and provide terminology, administration, and capability models for managing those connections. - [AI for SQL query generation](): AI for SQL query generation uses natural language processing to convert plain-language requests into structured SQL code for querying relational databases. - [AI for customer service automation](): The use of artificial intelligence technologies, including natural language processing, machine learning, and generative or agentic AI, to automate customer interactions, assist human agents, and analyze contact-center data. - [AI for data automation](): The use of artificial intelligence to automate data entry, processing, extraction, transformation, reporting, and related workflows. - [AI for interactive applications](): AI for interactive applications is the integration of AI capabilities into user-facing applications to create dynamic, responsive experiences that adapt to user input and preferences. - [AI for science](): AI for science is research in artificial intelligence, including scientific machine learning, to accelerate scientific discovery. - [AI in IT operations](): AI in IT operations, also discussed as AIOps, applies machine learning, analytics, and automation to monitor, operate, and improve IT services and infrastructure. - [AI in cybersecurity](): The application of machine learning and advanced algorithms to detect, predict, and automatically respond to cyber threats at scale. - [AI in frontend development](): The use of artificial intelligence tools and agents to assist frontend software development tasks such as code generation, UI design, debugging, refactoring, testing, and accessibility checks. - [AI interaction best practices](): Design guidelines and best practices for how AI systems should behave during user interactions. - [AI response quality](): The quality of responses produced by AI systems, studied in relation to users' emotional-valence transitions during human-GenAI interaction. 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