DX vs IBM

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.

Protects enterprise data across AI agents, applications and endpoints against agentic-AI, regulatory and post-quantum risks.

Full-stack application and infrastructure observability powered by agentic AI, including automatic discovery/mapping of GenAI workflows and AI-driven Smart Alerts to reduce alert fatigue.

AI-driven robotic process automation for building intelligent bots that automate business processes, with AI-embedded resilience built into the RPA runtime.

Visual data-science and machine-learning platform for building predictive models, with advanced algorithms, model deployment and open-source framework integration.

Document intelligence platform using OCR, NLP enrichments (entity/sentiment/emotion/category extraction) and LLM integration to automate information discovery from enterprise documents.

Deep-learning text analytics service extracting entities, sentiment, emotion, concepts, semantic roles and custom classifications from unstructured text.

A speech recognition API that converts audio into real-time or batch text for transcription, captioning and voice-analytics use cases.

A text-to-speech API that converts text into multilingual synthesized speech using neural voices.

An AI coding agent that automates planning, code generation, review and verification across the software development lifecycle, including IBM Z mainframe modernization workflows.

A generative AI assistant for IBM Z mainframe application discovery, code generation, refactoring and modernization.