DX vs New Relic
Relationship
Overlaps on data analysis, evaluation and observability and knowledge retrieval; scale not recorded for either.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 shared capabilities — Across all their products, both list data analysis, evaluation and observability and knowledge retrieval.
Ludbee capability tags · every product each company sellsShared product type — Both ship application.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for New Relic · 3
Recorded for DX. New Relic’s product records say nothing either way — a missing record is not a missing capability.
New Relic has no capability DX lacks, among the 3 recorded here.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
DX
Application
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.
Uses AI to weight pull requests by complexity to measure engineering output.
New Relic
Application
New Relic AI analyzes telemetry data and answers questions about monitored systems.
New Relic Applied Intelligence detects anomalies and helps engineers understand and resolve incidents.
No counterpart
DX sells these in a stack layer with no product recorded for New Relic yet — nothing on the other side to compare them against.
API service
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.
Developer tool
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.
New Relic sells these in a stack layer with no product recorded for DX yet — nothing on the other side to compare them against.
AI agent
New Relic Autopilot investigates incidents, identifies likely root causes and recommends next actions.
Platform
Observability for AI applications: LLM performance, error and cost, token and quality metrics, MCP server call lifecycle, and maps of multi-agent interactions.
Data service
New Relic Ground Truth combines telemetry, dependencies, incidents and changes into operational context for AI agents.