# 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 11](): .NET 11 is a software development platform release with SDKs and runtimes for building and running .NET applications. - [.NET 11 Preview 7](): The seventh preview release of the .NET 11 developer platform, including preview C# 15 features. - [.NET 9](): .NET 9 is a release of the cross-platform, open-source .NET developer platform for building applications, with a focus on cloud-native apps and performance. - [.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. - [10Gbase-T](): 10GBASE-T is a 10 Gb/s Ethernet physical-layer technology for operation over twisted-pair copper. - [1Password in the browser](): 1Password in the browser is a browser extension for managing passwords, passkeys, authentication codes, and other secure information. - [2026.2](): ScyllaDB 2026.2 is a ScyllaDB release adding DynamoDB Streams compatibility, Vector Search, Trie indexes, and experimental strongly consistent tables. - [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 design](): 3D design is a practice and set of tools for creating, modifying, and analyzing computer-modeled objects and environments in three spatial dimensions. - [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 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. - [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. - [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 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 Inference](): The process of applying a trained AI model to input data to generate predictions or responses. - [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 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 Platforms/Deployment](): A technical topic covering platforms and practices for deploying AI systems. - [AI Research](): Research into artificial intelligence technologies, including foundational and applied work. - [AI Routing](): AI routing is the policy-driven selection of an AI model per request based on factors such as cost, latency, quality, or task fit. - [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 for science](): AI for science is research in artificial intelligence, including scientific machine learning, to accelerate scientific discovery. - [AI research agents](): AI systems that autonomously conduct iterative machine-learning research and optimization tasks. - [AI search](): A computing approach that applies artificial intelligence to retrieve, rank, and generate responses from indexed information. - [AI tools for developers](): AI-powered tools used in software development to write code, improve workflows, and support software teams. - [AI, ML & Data Engineering](): Software engineering disciplines focused on artificial intelligence, machine learning, and data engineering. - [AI-Ready Data](): AI-ready data is high-quality, accessible, trusted, governed, and context-rich information prepared for use in artificial intelligence training, initiatives, and advanced AI systems. - [AI-assisted coding](): The use of AI models and agents to assist software-development tasks such as suggesting, explaining, reviewing, testing, and modifying code. - [AI-generated research reports](): Long-form syntheses of multiple sources produced by search-augmented large-language-model agents. - [AIOps](): AIOps applies artificial intelligence and machine learning to maintain IT infrastructure and automate operational tasks. - [ALCHEMI](): GPU-first Python framework for AI-driven atomic simulations. - [ANTLR](): ANTLR is a parser generator that processes structured text or binary files and generates parsers from grammars. - [API](): An API (Application Programming Interface) is a software interface that lets computers request, retrieve, and exchange data in a standardized way. - [API Economy](): The API economy is the economic value created and exchanged through APIs, which enable software components and services to communicate and support developer integrations. - [API Governance](): API governance is the standards, policies, processes, and controls that direct how organizations develop, deploy, secure, and manage APIs throughout their lifecycle. - [API Monetization](): API monetization is the practice of generating revenue from APIs through access, usage, or value-based charges, supported by metering, rate limiting, and billing infrastructure. 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