DX vs Microsoft

DX AI is a conversational interface for exploring an organization's engineering data held in DX, described by the vendor as 'the copilot for engineering leaders.' It answers natural-language questions with generated charts, summarizes qualitative snapshot data into themes and sentiment, and diagnoses the drivers behind metric changes. Its data can also be streamed into external LLM clients via the DX MCP server.

The DX MCP server exposes a customer's DX data to MCP-compatible AI clients such as Claude, Cursor and Devin Desktop. It is deliberately read-only, offering tools to list and retrieve software catalog entities, scorecards and initiatives, and teams, plus execution of SQL queries against the DX Data Cloud PostgreSQL database. It is available as a DX-hosted remote endpoint at ai.getdx.com/mcp or run locally from DX's open-source dx-mcp-server repository.

AI Code Insights measures what AI coding agents produce inside an engineering organization, tracking AI-generated code by commit, PR, team, agent and repo from IDE to production. It attributes authorship by monitoring supported coding agents' edits and links them to commits, pull requests and deployments, reporting adoption, delivery velocity, code-quality signals and session-level agent performance. It includes the Agent Experience report, which scores requirements clarity, steering and task scope from the agent's perspective.

Command-line interface to a DX instance, built so coding agents can drive it: it ships an agent skill telling an agent when and how to call the CLI, and covers the same catalog, scorecard and self-service operations a human uses the dashboard for.

Fabric is DX's context layer for AI agents, marketed as 'the context engine for AI-native engineering.' It turns an organization's software catalog into structured, live context that agents can query, and adds scorecards and self-service automation so agents can create services, provision infrastructure and resolve failing standards checks. Context is exposed to any MCP-compatible agent via the DX MCP server.

Integrated development environment for building conversational bots, integrating with Microsoft Copilot Studio for low-code bot building.

AI assistant embedded in Word, Excel, PowerPoint, Outlook and Teams that grounds its answers in a customer's own business data and ships with pre-built agents.

Microsoft's assistant for chat, search and work inside Windows and the Microsoft 365 apps.

Security-operations assistant that summarises threat signals and helps analysts detect, investigate and respond to incidents in natural language.

Image-recognition service for building custom image classification and object-detection models; distinct from the general-purpose Azure AI Vision service.

Embeddable reading-comprehension tool that improves text readability for users of all ages and abilities.

Extracts insights from video and audio — transcription, face/object detection, sentiment, topics — via API.

Multimodal Azure AI service that extracts structured insights from unstructured content (documents, images, audio, video) into custom-defined schemas.

Extracts text, structure and key-value pairs from documents (invoices, receipts, forms, ID cards) via prebuilt and custom models.

NLP service for sentiment analysis, key phrase extraction, entity recognition, summarization, question answering and conversational language understanding.

End-to-end platform for building, training, deploying and managing machine-learning models at enterprise scale.

Hosted access to OpenAI's GPT, embedding and image models with Azure enterprise security, networking and compliance, under Microsoft Foundry's current branding.

Speech-to-text, text-to-speech, speech translation and speaker recognition as an Azure API service.

Real-time and batch text translation API supporting 100+ languages.

Image analysis, OCR, spatial analysis and face detection as an Azure API service.

Detects harmful text/image content (hate, violence, sexual, self-harm) for generative-AI applications, billed per text/image record analyzed.

Managed service for building, deploying and orchestrating enterprise AI agents with tool calling, state management and multi-turn conversations.

Context-engineering platform giving AI agents agentic retrieval across enterprise data sources (SharePoint, Blob Storage, the web) with permission-aware security.

Model catalog (11,000+ models from Azure, Anthropic, Meta, Mistral, Hugging Face and others) with managed-compute and serverless per-token deployment.

AI assistant for clinicians that combines ambient conversation capture, clinical documentation and voice-driven EHR/order workflows into one product.

Evaluation, production monitoring and distributed tracing for generative-AI applications, billed by consumption per the Foundry observability pricing page.

Coding assistant and agent inside the editor, the CLI and GitHub itself.