Written by: Mark Hull, Co-Founder and CEO, Exceeds AI
Key Takeaways
- Over 350 companies use DX after its acquisition by Atlassian, including GitHub, Dropbox, Stripe, ADP, Adyen, and Goldman Sachs.
- DX relies on surveys for productivity insights, with high response rates such as Block’s 90% and ROI like Brex’s $5 million savings, but results skew when survey fatigue sets in.
- Tech, finance, and enterprise teams use DX for developer experience metrics, with most customers already in the Atlassian ecosystem through Jira, Confluence, and Bitbucket.
- DX cannot track AI-generated code across tools or real-time code quality, even as studies show between 27% and 41% of production code is now AI-authored.
- Teams that outgrow survey-only insights move to code-level AI analytics with Exceeds AI, which reads commits and pull requests to prove ROI across the entire toolchain.
How DX Became a Go-To Developer Experience Platform
DX emerged as a leading developer experience platform before its acquisition by Atlassian. Engineering leaders adopted it to measure productivity, understand developer sentiment, and justify investments in tools and process changes. The customer base now spans technology, finance, and large enterprises that want a structured way to track developer experience over time.
These companies share a common pattern. They use DX surveys to uncover friction, then connect those insights to delivery outcomes such as cycle time, build stability, and deployment frequency. The following sections break down which companies use DX, how they report results, and where survey-based approaches now struggle in the AI coding era.
Tech Companies Using DX for Developer Experience
Technology companies form DX’s largest customer segment and use developer surveys to track productivity across engineering teams. The table below highlights how leading tech firms apply DX, from enterprise adoption to post-acquisition integration work.
| Company | Industry | Key Metric | Source |
|---|---|---|---|
| GitHub | Developer Tools | DX Enterprise Customer | Atlassian |
| Dropbox | Cloud Storage | Post-acquisition integration | DX Platform |
| Block (Square) | Fintech | 90% survey response rate | GetDX |
| Vercel | Web Infrastructure | Developer productivity focus | Industry Reports |
- Intercom – Customer messaging platform using DX to measure team productivity and surface friction.
- Gusto – HR software company tracking developer experience metrics across product squads.
- Plaid – Financial infrastructure provider using DX surveys for engineering team insights.
- Zapier – Automation platform measuring developer satisfaction and workflow health.
- Notion – Productivity software company using DX for engineering analytics and sentiment trends.
- Figma – Design platform tracking developer workflow efficiency and collaboration pain points.
- Stripe – Payments company measuring engineering productivity and process friction.
- Twilio – Communications platform using DX metrics to understand developer experience.
- Shopify – E-commerce platform tracking developer experience across large distributed teams.
- Atlassian – Parent company integrating DX across its product suite for internal and customer use.
These tech companies show how DX can capture sentiment and workflow issues through surveys. Teams that now rely on AI coding tools, however, need proof in the code itself, which is where Exceeds analyzes commits to show AI impact across Cursor, Copilot, Claude Code, and other tools.
Finance and Enterprise Companies Using DX
Financial services and enterprise organizations use DX to measure developer productivity and justify technology investments to non-technical stakeholders. The table below highlights firms that report clear business outcomes from DX adoption, including quantified savings and experience improvements.
| Company | Industry | Key Metric | Source |
|---|---|---|---|
| ADP | HR Technology | DX Enterprise Customer | Atlassian |
| Adyen | Payment Processing | DX Enterprise Customer | Atlassian |
| Brex | Corporate Cards | $5M productivity savings | Case Studies |
| TrueLayer | Open Banking | Developer experience tracking | Industry Reports |
- Pfizer – Pharmaceutical company using DX after the Atlassian acquisition to connect surveys with Jira workflows.
- Booking.com – Travel platform tracking AI adoption and developer experience across global teams.
- John Lewis – UK retailer reporting around 40% improvements in coding time from productivity initiatives.
- NIQ – Market research company measuring developer productivity and satisfaction trends.
- OVO Energy – Energy provider reporting roughly $3 million in annual productivity gains.
- Recursion – Biotechnology company tracking engineering metrics and developer experience.
- SiriusXM – Media company using DX to understand team productivity and delivery friction.
- Capital One – Financial services firm measuring developer experience across regulated environments.
- Goldman Sachs – Investment bank tracking engineering productivity and workflow health.
- JPMorgan Chase – Global bank using DX metrics to monitor developer experience.
- American Express – Financial services company measuring developer satisfaction and process friction.
- Visa – Payment network tracking team productivity and engineering sentiment.
These finance and enterprise users highlight DX’s strength in making developer experience visible to executives. They still face a gap when they need hard evidence of AI’s impact on code quality, delivery speed, and risk, which requires analytics beyond surveys.
Atlassian Customers Integrating DX into Their Toolchain
Ninety percent of DX customers were already Atlassian users before the acquisition, which created a natural path to deeper integration. These teams now connect DX survey data with existing Atlassian workflows.
- Confluence users – Documentation teams measuring how knowledge sharing affects developer productivity.
- Jira Software teams – Agile teams tracking developer experience alongside sprint and project metrics.
- Bitbucket organizations – Code repository users pairing DX surveys with repository activity.
- Trello Enterprise – Project management teams measuring developer satisfaction across boards and projects.
- Bamboo users – CI/CD teams tracking build and deployment experience for engineering groups.
Additional enterprise customers include Salesforce, Microsoft, Oracle, IBM, SAP, Adobe, VMware, ServiceNow, Workday, and Snowflake. These organizations span software, healthcare, retail, and manufacturing, yet share the same goal of connecting developer experience to business outcomes.
DX Case Studies and Reported ROI
Leading DX customers report measurable productivity improvements when they act on survey findings. These case studies show how teams translate developer feedback into concrete delivery gains.
Block (Square) achieved a 90% survey response rate, which gave leaders a comprehensive view of team productivity. The developer experience program then identified workflow bottlenecks and raised engineering satisfaction scores by 25% year over year.
Brex documented $5 million in annual productivity savings after addressing friction points uncovered through DX surveys. The company reduced build times by 40% and shortened code review cycles by 30%, which directly improved delivery speed.
Dropbox and Pfizer are using post-acquisition Jira integrations to connect developer experience metrics with project delivery outcomes. Their teams now view experience scores and delivery metrics in unified productivity dashboards.
Intercom reported roughly 20% productivity improvements after addressing context switching and tool fragmentation issues surfaced through DX developer surveys. The company focused on simplifying workflows and reducing unnecessary interruptions.
These outcomes show how survey-based platforms can drive change. Teams that now depend on AI coding tools, however, also need to measure AI’s direct impact on code changes, which requires commit-level analytics that DX does not provide.
DX Limitations in the AI Coding Era
DX’s survey-based approach now faces clear limits as AI reshapes how software gets written. Survey fatigue creates systematic bias, with the highest-output contributors least likely to respond, which skews insights toward less productive team members.
The platform also misses actual delivery speeds and pull request patterns because it focuses on perceptions instead of quantitative Git data. Studies show that between 27% and 41% of production code is now AI-generated, depending on team maturity and tool adoption, yet surveys cannot separate AI contributions from human work or track code quality outcomes over time.
DX provides periodic snapshots, typically quarterly, which means emerging bottlenecks stay hidden between survey cycles. This delayed visibility becomes critical as AI adoption accelerates across tools such as Cursor, Claude Code, GitHub Copilot, and Windsurf. Leaders need immediate code-level data to prove AI ROI and manage technical debt risks that survey responses, by their retrospective nature, cannot capture.
Upgrade from DX Surveys to Code-Level AI Analytics with Exceeds AI
DX users rely on survey data to prove metadata-level ROI, while Exceeds measures AI impact directly in the code through repository-level visibility. This repository-first approach enables AI Usage Diff Mapping and multi-tool detection, which deliver insights in hours instead of the weeks required for survey cycles.
Exceeds AI provides commit and pull request fidelity across Cursor, Claude Code, GitHub Copilot, and new AI tools as they appear. Engineering leaders receive board-ready proof of AI ROI, and managers gain actionable insights for scaling adoption, rather than only sentiment scores or perception trends.
Teams that once depended solely on DX surveys now pair or replace them with Exceeds AI to see what actually changed in the codebase. See how Exceeds tracks AI impact across your toolchain and compare survey-based insights with commit-level analytics tailored to AI development.
DX FAQ
What companies use DX?
Over 350 companies use DX following its acquisition by Atlassian. Customers include major tech firms like GitHub, Dropbox, and Block, financial services companies such as ADP and Adyen, and enterprises like Pfizer and Booking.com. DX serves organizations from startups to Fortune 500 companies across technology, finance, healthcare, retail, and manufacturing.
Who owns DX?
Atlassian acquired DX for $1 billion in cash and stock in November 2025. DX’s developer productivity measurement capabilities now sit inside Atlassian’s product portfolio, including Jira, Confluence, and Bitbucket, which enables unified developer experience and project management workflows.
Which Atlassian customers use DX?
Most DX customers were already Atlassian users before the acquisition, which created strong integration opportunities. These customers use DX alongside Jira Software for agile planning, Confluence for documentation productivity, Bitbucket for repository insights, and other Atlassian tools to build a comprehensive view of developer experience.
What is DX’s purpose after the Atlassian acquisition?
After the acquisition, DX focuses on measuring developer productivity and experience within Atlassian’s ecosystem. The platform combines developer surveys with workflow analytics to identify friction points, improve team performance, and support technology investment decisions, while staying tightly integrated with Atlassian’s project management and collaboration tools.
How does DX handle AI coding tools?
DX measures developer experience with AI tools through surveys and workflow data but cannot distinguish AI-generated code from human contributions at the commit level. Studies show that between 27% and 41% of production code is now AI-generated, which makes this limitation significant because teams cannot prove AI ROI or track code quality outcomes over time using surveys alone.
DX customer lists show value for more than 50 companies, yet AI-era engineering leaders now need code-level truth. Exceeds AI delivers commit-level visibility across every AI tool your team uses. Request your team’s AI productivity analysis to evaluate DX’s survey successes and upgrade to code-level AI analytics that prove ROI to executives and guide scalable adoption.