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.
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DX is an engineering intelligence platform designed by industry leading researchers. We give engineering organizations the data they need to take the right actions to drive higher ROI per developer. We are privileged to serve hundreds of the world’s most iconic companies including Dropbox, Amplitude, P&G, and Pfizer. The DX platform integrates data from SDLC tools (such as GitHub, Jira, and others) and self-reported data collected from developers, offering a comprehensive view of engineering productivity and its underlying factors. Our insights cater to every organizational level, from CXOs to platform teams to frontline managers.
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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.
DX data shows newer AI-native IDEs like Claude Code and Cursor are associated with higher PR throughput… but organization size plays a huge role. Windsurf, for example, has taken a strong foothold in the enterprise. So, the lower PR throughput from Windsurf isn’t necessarily due to the tool’s capabilities, but rather who’s using it. More on this from Laura Tacho in the Engineering Enablement newsletter: https://lnkd.in/gKXrSmMF
“The experience, the polish, the ease of use—it was clear this wasn’t just an executive tool. We could hand it to everybody and they’d get value out of it right away.” – Jakub Oleksy, SVP of Engineering at GitHub Read more on why GitHub selected DX to measure and improve developer experience: https://lnkd.in/gVXK5zPZ
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After countless conversations with DevEx leaders asking, "So… how do we actually do this?", Nicole Forsgren and I decided to write the book we wished existed. Frictionless is a practical guide for: - Making the business case for DevEx - Measuring what truly matters—especially with AI changing the landscape - Navigating org politics and executive communication - Driving change that actually sticks It's officially out on Amazon: https://lnkd.in/g87-NUeY
DX reposted this
Today's the day! 🎉 After countless conversations with DevEx leaders asking "okay, but HOW do we actually do this?" - Abi Noda and I wrote Frictionless. It's a practical guide for: * Making the business case for DevEx * Measuring what actually matters (especially with AI in the mix) * Navigating org politics and exec communications * Actually implementing change that sticks We also built 100 pages of FREE workbooks - templates, frameworks, exercises your team can use right away. https://lnkd.in/gXXsR6pH bit.ly/frictionless-book
Next week, join Abi Noda and Laura Tacho for a live virtual discussion on how to run data-driven evaluations of AI engineering tools. They’ll share recommendations for selecting which tools to evaluate, identifying the developers who should be included in the tooling evaluation, and determining what to measure to accurately assess tool performance. Register to join here: https://lnkd.in/gbRF3Z-a
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Big news: DX is officially part of Atlassian. DX began with a focused mission: to help organizations measure and improve developer productivity through research-backed methods. Since then, we've become the leading platform for developer intelligence—tripling ARR each year and empowering engineering teams at companies like Dropbox, GitHub, and Vanguard. Today, we're entering a new chapter: joining Atlassian to help hundreds of thousands of teams accelerate their AI transformation and improve developer experience at scale. By combining DX with Atlassian's solutions, customers can unlock a powerful flywheel: pinpointing bottlenecks with data, then addressing them with targeted, AI-powered solutions. I couldn't be more excited for the next chapter—both for DX and for our customers. Thanks to Mike Cannon-Brookes and the entire team. https://lnkd.in/gx3nyU-S
“We’ve used DX for about half a decade now as our engineering dashboard at the management level. So as soon as DX introduced AI impact metrics, we jumped right in.” For DroneDeploy, the leading reality capture platform, AI was never about chasing trends. Their engineering team built a structured, three-phase playbook to evaluate, adopt, and scale AI tools responsibly. Using DX, they’ve been able to: - Run controlled experiments to identify the most effective AI tools - Measure real adoption and impact across teams - Enable developers to use AI where it truly drives results “We’ve been able to demonstrate responsible stewardship,” explains Joseph Mente, Senior Director of DevOps, Security, and IT. “Using DX, we can show the finance and executive teams that we’re rolling out AI tooling responsibly. We’re utilizing funds wisely. We’re not just jumping on the hype train.” DroneDeploy’s approach is a great example of how engineering orgs can take a systematic approach to turning AI potential into measurable, lasting impact. Read the full story: https://lnkd.in/gGe3aHCh
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Data beats hype every time. So here's data from 135,000+ developers across 435 companies and how they're actually using AI *right now*. Today we released the AI Assisted Engineering Impact Report for Q4 2025. This is a moment-in-time snapshot looking at data from July-Oct 2025. It takes you through high-level trends like overall adoption, answers questions like "how much AI-authored code actually gets merged?" and shares some of the biggest opportunities for acceleration. Read the full report here: https://lnkd.in/df7AKhH5