DORA

🧠 Move beyond the hype AI is transforming developer workflows but is it helping or slowing them down? Hear from experts on measuring AI’s true impact on DevEx and linking it to business outcomes. Meet your Hosts: Nathen Harvey, Jeremy Castile, Bill Harding and Najla Elmachtoub https://lnkd.in/eGNf79ei

Webinar: Understanding AI's Impact on Software Delivery Register now for this webinar hosted by Allstacks, a Silver Sponsor of the 2025 DORA report. The DORA 2025 State of AI-Assisted Software Development Report revealed a fundamental shift: 90% of developers now use AI for a median of 2 hours daily, and this adoption is dramatically changing software delivery outcomes—for better and worse. Join Ben Good, Platform Engineering Technical Lead at Google and DORA researcher, and Jeff Keyes, Field CTO at Allstacks, on December 4th @ 1PM ET/10 AM PT for a practitioner conversation about what the research really means and how organizations are navigating this transformation. Whether you're wrestling with AI-induced instability, trying to move your team up the performance clusters, or seeking to implement the seven AI capabilities, you'll leave with both research-backed validation and practical implementation guidance. https://lnkd.in/eEdhwmAf #DORA #Allstacks #AI #DevEx #GBGB

DORA's State of AI-assisted Software Development is a finalist for Techstrong Group's DevOps Dozen awards. Building on our legacy as the gold standard for DevOps research, the 2025 DORA report tackles AI's impact on software development. Based on nearly 5,000 responses, it provides the critical insight that "AI is an amplifier." The report introduces the DORA AI Capabilities Model a new standard identifying seven practices that unlock AI's potential. This framework allows organizations to track trends and measure themselves, providing data-driven guidance to navigate the industry's biggest shift. Vote today: https://lnkd.in/grbj27pR #DORA #GBGB #DORAReport #DevOpsDozen

In 2018, Google didn't just buy a research group, it absorbed the conscience of modern software performance. DevOps Research and Assessment, better known as DORA , wasn't born from corporate slogans. It came from an obsession shared by Dr. Nicole Forsgren, Jez Humble, and Gene Kim to decode one brutal truth: why some teams ship better, faster, and happier than everyone else. From the first Puppet-backed State of DevOps survey (2013) to Accelerate (2018), DORA turned #engineeringculture into measurable science. Seven years into Google Cloud's stewardship, the team dropped its boldest move yet, the 2025 State of AI-Assisted Software Development Report, and it reshapes how tech talks about AI. Led by Nathen Harvey and Derek DeBellis, the report surveyed nearly 5K tech pros worldwide, conducted 100+ hrs of interviews, and partnered with IT Revolution, GitHub, GitLab, SkillBench & Workhelix. The headline finding? AI isn't the hero, it's the mirror. It doesn't save weak orgs; it scales their chaos. It doesn't fix poor systems; it amplifies them. Strong foundations compound strength; dysfunction compounds dysfunction. 90% of developers now use AI at work (+14 pts YoY). Most cite gains in #productivity & #codequality, spending ~2 hrs daily with AI tools. Yet only 24% trust AI outputs "a lot" or "a great deal." That's the paradox: high adoption, low confidence. AI multiplies judgment, not replaces it. The report's new AI Capabilities Model defines 7 core practices that separate traction from talk: clear AI stance, healthy #dataecosystems, AI-accessible internal data, strong version control, user-centric focus, quality platforms, and working in small batches. Together, they form the blueprint for orgs ready to amplify intelligently, not recklessly. DORA also mapped 7 team archetypes, from Foundational Challenges (10%) and Legacy Bottlenecks (11%) to Pragmatic Performers (20%) and Harmonious High-Achievers (20%). Only 40% of teams hit true high-performance levels. For the rest, AI doesn't close the gap, it widens it. Then there's DORA's newest weapon: Rework Rate, the 5th metric. It measures how much work must be redone due to defects, rework, or misalignment. The hidden tax on every org finally has a number attached. The data kills the myth that speed and stability trade off; top teams achieve both. It reframes AI adoption as systems design, not tooling. It flags risk as #seniorengineers self-serve tasks once training juniors. And it elevates Value Stream Management from buzzword to C-suite priority. DORA’s 2025 report isn’t hype, it’s a mirror. AI isn’t a #differentiator anymore; it’s a diagnostic. The orgs with clarity, data discipline & platform strength will rise. The rest? AI will just help them fail faster. #AI #SoftwareDevelopment #SoftwareEngineering #AITools #Data #DataDriven #Research #Technology #Innovation #TechEcosystem #StartupEcosystem #TechNews If software engineering peace of mind is what you crave, Vention is your zen.

AI as an amplifier: DORA and GitLab on maximizing AI impact. Join us next Tuesday (Nov 18) for a webinar with Nathen Harvey, Emilio Salvador, and Jessie Young who will be sharing new research from GitLab revealing that AI-powered software innovation is the new economic growth engine. They'll also dig into the latest findings from DORA's research. During this interactive fireside chat, we'll cover: • The current state of AI adoption • The AI amplifier effect • The flexibility imperative • The seven capabilities that matter • Platform engineering's critical role • The human-AI partnership paradox • From AI hype to AI value Register now: https://lnkd.in/e4Gmxa9d

Value stream mapping exercises are full of 'ah-ha' moments and I've found they always reveal opportunities for improvement. Perhaps more important than the improvements though are the human connections that get made during the process. Steve Pereira provides some good insights into the practice and the research from DORA here. https://lnkd.in/eD28n-xP #VSM #AI #GBGB