DX, now part of Atlassian, measures developer experience and AI impact by combining developer surveys with system data. Axify shows whether your AI coding tools are paying off from system data alone, by connecting AI usage and cost to delivery metrics. Here is how they compare, and where each one fits best.
Last updated: · DX details from its public website
The short answer
Choose Axify if…
your main question is “Is AI making us faster, and what does it cost?” and you want the answer from system data, without surveys or software on developer machines. Axify tracks usage, adoption and cost from tools such as GitHub Copilot, Cursor and Claude Code, down to the model and the developer, forecasts your AI spend, and ties it all to cycle time and DORA metrics. Pricing is public, you can start a free trial on your own, and only active contributors are billed.
Choose DX if…
you want a research-backed survey program (quarterly snapshots, the DX Core 4 framework, industry benchmarks) next to system metrics, or an internal developer portal and service catalog from the same vendor, especially if you already buy from Atlassian.
What they share: AI adoption, impact and cost tracking with a spend forecast, DORA metrics, GitHub, GitLab, Bitbucket, Azure DevOps and Jira integrations, no access to source code, and an MCP server so you can ask questions about your data from Claude or Cursor.
Feature by feature, based on DX’s public pages and our own product.
| Capability | Axify | DX |
|---|---|---|
| Focus | ||
| Core focus |
AI usage, cost and impact on delivery, from system data |
Developer experience and AI measurement, from surveys and system data |
| Ownership |
Independent, vendor-neutral |
Part of Atlassian since November 2025 |
| AI | ||
| AI spend by tool, model, team and developer |
Gross cost and tokens, such as GitHub Copilot, Cursor, Claude Code, LiteLLM |
By tool, team and developer, with cost per PR; per-model view not listed |
| AI spend forecast |
Up to 12 months ahead |
Projected spend and token usage from historical trends |
| AI adoption insights |
Adoption score built on reflexive use, reliance and trust |
Usage level per developer and tool, across a wide list of assistants and agents |
| AI impact on delivery |
AI usage tied to cycle time and DORA metrics, from system data |
AI Measurement Framework mixing survey answers and system data; AI code attribution through a daemon on developer machines |
| Delivery | ||
| DORA metrics |
Included, measured automatically |
Yes, self-reported in surveys or from system data |
| Value stream mapping (end-to-end) |
Included |
Not listed as a product |
| Developer surveys |
Not offered (system data only) |
Yes, quarterly snapshots, DevEx benchmarks and experience sampling |
| Developer portal and service catalog |
Not offered |
Yes, catalog, scorecards and self-service workflows |
| Reporting and alerts | ||
| Alerts |
Email and Slack, custom alert preferences |
Proactive Slack alerts from DX AI |
| Scheduled email reports |
Custom reports by email, with an AI-written executive summary |
Not listed (custom reports and SQL in Data Studio) |
| Platform | ||
| MCP server |
Yes |
Yes, read-only, with usage tiers |
| Git providers |
GitHub, GitLab (cloud and self-managed), Bitbucket (cloud and Data Center), Azure DevOps |
GitHub (incl. Enterprise Server), GitLab (incl. self-hosted), Bitbucket (cloud and Data Center), Azure DevOps (Services and Server), Gerrit |
| Issue trackers |
Jira Cloud, Azure DevOps, GitLab; Jira Data Center through custom integration (Enterprise) |
Jira (Cloud and Data Center), Linear, Azure Boards, Asana, ClickUp, Shortcut, GitHub Projects |
| Security and compliance |
SOC 2 Type II, hosted in Canada (AWS), encryption in transit and at rest, privacy officer for Law 25 and GDPR |
SOC 2 Type 2, ISO 27001, ISO 27701, GDPR, CCPA; hosting region not listed |
| Access to your code and prompts |
None. Read-only, metadata only, nothing installed on laptops |
Does not read source code; AI code attribution needs a local daemon, optional transcripts may contain code |
| Enterprise | ||
| SSO and audit log |
Yes (Enterprise) |
SAML SSO, SCIM and audit log |
| Connector for self-hosted tools |
Proxy Agent (Enterprise) |
Reverse tunnel proxy |
| Single-tenant data encryption |
Yes (Enterprise) |
Not listed |
| Custom integration development |
Yes (Enterprise) |
Push and data APIs to bring your own data; custom development not listed |
| Implementation services |
Included in Enterprise, with a dedicated CSM and 24/7 support |
Not listed; extensive published research and frameworks |
“Not listed” means the feature does not appear on the vendor’s public pricing or product pages as of the update date. It may exist or be on its way.
Feature lists look alike. These are the places where the two tools make different bets.
Axify starts from AI: who uses which assistant, what it costs, and whether delivery actually got faster. DX starts from developer experience: its research-backed frameworks, such as DX Core 4 and its AI Measurement Framework, combine what developers report with what systems record.
Bottom line: pick the tool whose starting question matches the one your leadership is asking.
Axify relies only on system data from the tools your teams already use: no surveys, no manual entry, and numbers that update on their own. DX runs a survey program, typically quarterly, and some of its metrics, including DORA and AI impact, can come from self-reported answers.
Bottom line: want measured data with zero survey fatigue? Axify. Want a structured developer sentiment program? DX.
Both tools track AI spend and project it forward. Axify shows gross cost and token use by tool, model, team, project and developer. DX shows spend by tool, team and developer with cost per pull request; a per-model breakdown is not listed, and it notes that Copilot figures are gross, before discounts.
Bottom line: if you need to see which models drive the AI bill, Axify shows it directly.
Axify connects read-only to your Git, issue tracking and AI tools, and never reads code, prompts or conversations. To attribute AI-written code to commits, DX installs a daemon on developer machines; it sends metadata only, and optional session transcripts are off by default.
Bottom line: want AI measurement with nothing on developer laptops? Axify. Want commit-level AI attribution? DX.
DX joined Atlassian in November 2025 and is now sold within its Software Collection, alongside tools such as Rovo Dev, Bitbucket and Compass; DX says its third-party integrations continue. Axify is an independent, vendor-neutral tool with public pricing. Axify Enterprise includes implementation services, a dedicated customer success manager with 24/7 support, custom integration development and single-tenant encryption, and data is hosted in Canada.
Bottom line: all-in on Atlassian? DX fits that stack. Want a vendor-neutral tool with public pricing and hands-on rollout? Axify.
Axify publishes its prices. DX prices by developer license on annual contracts, on request.
| Terms | Axify Pro | DX |
|---|---|---|
| Terms | ||
| Price per developer / month | $29, billed annually | Not published (demo and quote) |
| What is included | Full platform: AI adoption and cost, delivery and DORA metrics, value stream mapping, Axify Intelligence | Modular purchase, with multi-product discounts; MCP usage tiers |
| Who is billed | Active contributors only (commit, PR or ticket moved in the last 30 days) | Developer licenses |
| Contract | Annual, no seat minimum | Starts at a 1-year term |
| How to start | 14-day free trial, no card | Demo, then a free proof of concept on part of the organization |
How to read this
Axify Pro is $29 per active contributor per month, billed annually. DX does not publish prices, so ask for a quote with the same team size and modules to compare like for like.
Axify Enterprise and large DX deployments are both priced on request, with volume discounts.
Axify is a better fit if you…
DX is a better fit if you…
From DORA metrics and value stream work with Axify.
Axify connects read-only to the Git, issue tracking and AI tools you already use, so you can run it next to DX during your evaluation without changing any workflow.
Everything you need to know about how Axify and DX compare.
Sources: DX information comes from getdx.com and docs.getdx.com (product, pricing, security, connectors and blog) and Atlassian’s public announcements, reviewed November 2, 2026. Axify information reflects our product as of the same date. DX and Atlassian are trademarks of their owners. Spotted something out of date? Tell us and we will fix it.