DX’s cover photo
DX

DX

Software Development

Salt Lake City, UT 27,503 followers

The engineering intelligence platform designed by leading researchers.

About us

DX is an engineering intelligence platform designed by leading researchers. We give engineering leaders and platform teams the data they need to lead with confidence and drive higher impact per developer. We serve hundreds of the world’s most iconic companies including Dropbox, Amplitude, P&G, and Pfizer.

Website
http://getdx.com
Industry
Software Development
Company size
51-200 employees
Headquarters
Salt Lake City, UT
Type
Privately Held
Specialties
Developer productivity, Engineering productivity, Engineering intelligence, Engineering analytics, Engineering metrics, and Platform engineering insights

Products

Locations

Employees at DX

Updates

  • DX reposted this

    View profile for Abi Noda

    Co-Founder, CEO at DX, Developer Intelligence Platform

    Today we’re announcing DX Annual, our flagship conference for developer productivity leaders. Since DX’s founding, customers have asked us for a venue to learn from each other and study what the best companies are doing. With AI transforming the SDLC at an unprecedented rate, the need for a gathering like this is more important than ever. The inaugural DX Annual will be held on April 16th in San Francisco, bringing together a curated group of ~400 senior engineering leaders from companies like Pinterest, Nationwide, Dropbox, Netflix, and Dell. If you’re a leader focused on developer productivity and AI transformation, I’d love to see you there. Request an invite: https://dxannual.com

    • No alternative text description for this image
  • DX reposted this

    View profile for Navid Farzinnia

    AI Product TPM | 0→1 & 1→N GenAI /Agents launches | +NPS, ↓latency, ↑adoption | APIs, Microservices, MLOps, Platforms

    Thank you DX for the invitation. I truly enjoyed the conversation. - AI is reshaping pricing models. Some teams are moving away from seat-based pricing as it limits experimentation and does not reflect how AI is consumed in real workflows. Flexibility is becoming increasingly important. - Full automation isn’t always the solution. One organization discovered that fully automated Java upgrades failed in practice; however, when engineers owned the workflow, AI still accelerated migrations by approximately 10%. Finding the right balance between automation and human involvement is essential. - Tool sprawl is emerging as a significant productivity tax. With the increasing number of AI surfaces, developers are becoming overwhelmed by the volume of AI review comments. Some companies are even creating custom assistants because off-the-shelf tools cannot manage the scale of their codebase. - Adoption is fragile without awareness. A single internal workshop enabled one team to transition from zero to thousands of connections in just one day. This illustrates how quickly adoption can change—and how easily it can fail—when developers are unaware of the available resources. #DeveloperExperience #extensibility #dataIO #DevEx #AI #ProductManagement #PlatformEngineering #SoftwareEngineering #EngineeringProductivity #DeveloperTools #TechLeadership

    • No alternative text description for this image
    • No alternative text description for this image
  • View organization page for DX

    27,503 followers

    We recently hosted a panel discussion in San Francisco with Developer Productivity leaders from Snowflake, Atlassian, Yelp, and Gusto. A few takeaways: - One organization is shifting away from seat-based pricing because it blocks experimentation and no longer matches how AI is used - Another org tested fully automated Java upgrades, and it failed. When engineers drove the workflow, AI sped up about 10% of migrations - Tool sprawl and growing AI surface area are creating friction, with developers overwhelmed by high volumes of AI review comments, and some teams even building custom assistants after standard tools broke under the scale of their codebase - One team saw a single internal workshop take usage from zero to thousands of connections in one day, showing how quickly adoption breaks when developers don’t know features exist Another thank you to Stephan Hagemann, Rebecca Fitzhugh, Mitali Parthasarathy, and Nathan Hunt for sharing what you’ve tried and are learning with respect to rolling out AI tools. Photo by Sam Khedr

    • No alternative text description for this image
  • View organization page for DX

    27,503 followers

    “If I hadn’t discovered DX’s CapEx report, I probably would have been stuck doing this manually for months or even years. It would’ve been a painful process. Instead, it’s just a few clicks.” - Chris Caselas, Head of Technology Provide, a division of Fifth Third Bank and a leader in tech-enabled financial services for small business owners, needed a better way to manage R&D cost capitalization. That’s when Caselas discovered DX’s CapEx reporting functionality. With DX, Provide was able to: - Automate monthly CapEx reporting with a single click - Categorize engineering investment across innovation, maintenance, and other areas - Free up hours of manual work for more strategic initiatives “Getting set up took just a few hours,” Caselas says. “Now it’s a 10-minute process each month. Our finance team loves it, and I can finally rely on the numbers.” Read the full story: https://lnkd.in/gWH59t8w

  • View organization page for DX

    27,503 followers

    Engineering organizations need CapEx reporting that’s accurate, audit-ready, and requires as little manual effort as possible… But most teams today still piece this together manually. DX’s CapEx reporting already automates the hard parts of tracking and categorizing engineering work using your own capitalization rules. Now it’s become an even stronger fit for finance and engineering teams with a set of major upgrades: - Save your CapEx rule sets and report options as account-level defaults so reporting stays consistent every month - Customize export columns to match what finance needs without reformatting downstream - Automatically generate clean, finance-friendly exports, complete with a cover sheet and glossary for reviewers - Upload salary data to pre-populate reports and eliminate manual reconciliation

    • No alternative text description for this image
  • DX reposted this

    View profile for Laura Tacho

    CTO @ DX, executive advisor, Austrian Innovator of the Year

    2025 was a defining year for AI in software engineering. Not just in how teams write code, but in how organisations drive productivity, apply AI in developer workflows, and support adoption at scale. On December 11, I’m hosting a year-in-review roundtable with developer productivity researchers from Microsoft, Google, and GitHub. We’ll dig into the most important insights, trends, and shifts from the past year and what engineering leaders should expect in 2026. We’ll cover: → Where AI is proving most effective in the SDLC (and where tools still fall short) → What the research says about the tactics that actually drive adoption → What researchers are studying now, and where the field is heading next If you want a clear view of what really changed in 2025 and what’s coming next, join us: https://lnkd.in/dQYUPrpM 

    This content isn’t available here

    Access this content and more in the LinkedIn app

  • DX reposted this

    View profile for Ben Burbank

    Passionate about improving the developer experience through product management, agility, and DevOps

    Exploring the Real Impact of AI on Developer Experience at American Airlines It’s been exciting to demystify how AI is shaping developer workflows. A few early observations from our experiments: - PR cycle time: Significantly faster with AI assistance ✅ - PR size: Larger than before — an area we need to improve! - Review/comment density: Lower overall - also an area that we need to improve! - Review pushback: Higher (quality concerns are real!) With DX, we’re finally able to have meaningful conversations with both executives and developers about what AI is actually changing—and what needs to happen to maximize its value. I’m thrilled about where this journey can take us when we use these tools thoughtfully and responsibly. The potential is incredible!

  • DX reposted this

    View profile for Greyson Junggren

    Co-Founder at DX, Engineering Intelligence Platform

    Last month, DX released Team SLAs. At DX, it’s important to me that we help drive impact, not just more insight. SLAs make metrics actionable by alerting teams about what they need to know, when they need to know it. And because those alerts appear where engineers and managers already work (in Slack or Teams), the data is immediately actionable.

    • No alternative text description for this image

Similar pages

Browse jobs