Digital.ai

That's a wrap on DevOpsCon NYC 👋 Congratulations to our winner on taking home the LEGO giveaway! 🎉 & A big thanks to everyone who stopped by our booth, listened in on Ankur's session, and talked shop with Trey Doescher, Ankur Trivedi, and Fernando Vázquez. See you at the next one! #DevOpsConNYC

Last day at DevOpsCon NYC — make it count! Stop by our booth in the expo hall, and don't miss Ankur Trivedi's session this afternoon on predicting release risk before it hits production. #DevOpsCon #DevOpsConNYC #CICD #AI

We're live at DevOpsCon NYC! 🎉 Come find us in the expo hall—and while you're there, enter our live raffle for a chance to win a LEGO Technic Mercedes-AMG F1 W14 E Performance Model Car Kit. ���️ Winners will be announced on Day 2 at lunch time, so be sure to enter before then! Stop by our booth to enter, meet the team, and see what Digital.ai's AI-powered delivery platform can do for your pipeline. And mark your calendar for Ankur Trivedi's talk: "AI-Accelerated Delivery: Predicting Release Risk Before Production" 🗓️ Wednesday, Sept 30 @ 4:45 - 5:30pm | Room: Coney Island Trey Doescher Fernando Vázquez #DevOpsCon #DevOpsConNYC #Raffle #DevOps

Another big launch leaked a day before release. I'm not going to pile on - I have seen enough release cycles to know that protection is the first thing squeezed when the ship date doesn't move. But the detail worth noticing: the build went out with store-level DRM and no real anti-tamper. That's not a studio failure. That's what happens when hardening is a manual, pre-launch scramble instead of something the pipeline does on every build. This is the part our customers have changed. With agentic AI in the release process, protection isn't a checklist someone gets to on Friday — agents decide what to obfuscate and harden, apply it at build time, and watch for tampering in the wild the moment the app ships. Same deadlines. Higher bar. If your release date is fixed, your protection can't be optional. Read the full article. https://lnkd.in/gWfNRHUa

It's the final day of StarWest—and what a week it has been! 🌟 Huge congratulations to Suposh Dandamudi from ERCOT—our Giveaway Winner! 🏆 Thanks for stopping by Booth #42! Today is your last chance to catch us in Anaheim. Our team would love to connect with you before we wrap up. Stop by Booth #42 to chat about QA innovation and software testing. Thanks for an amazing conference! See you next time! 👋 #StarWest2026 #QA #SoftwareTesting Tyler Joiner Mike Miginsky, MS Joe Valdez Justin L. Joseph Hurley

Atlassian's State of AI SDLC laid out a clear direction: the future of software is AI-native, and it's being built in the cloud. That's good news for most enterprises. For regulated ones, it's a problem. Jira Data Center reaches end of life on March 28, 2029, after which all instances go read-only. But the date that belongs on your roadmap isn't 2029. It's March 2028, when license expansions stop for existing customers. That's 18 months to make a platform decision, not three years. And "just move to Jira Cloud" isn't a decision every enterprise can make. If you operate air-gapped, under FedRAMP, or inside data sovereignty requirements that rule out public cloud, the cloud migration path doesn't exist for you. Digital.ai Agility was built for that constraint. Team and portfolio-level Agile planning, deployable on-prem, air-gapped, and in FedRAMP environments. And because Agility integrates with Jira, you can phase the transition; run in parallel, migrate program by program, and keep teams delivering the entire way. As AI changes the SDLC, the question isn't where to move Jira. It's whether your Agile planning platform can operate where your business is required to operate. If March 2028 is closer than your migration plan, start with an assessment — current Jira instances, workflows, fields, integrations, and hosting constraints mapped against a phased wave plan. 👉 Request a migration assessment: https://lnkd.in/ep_bajD3 #StateOfAISDLC #JiraDataCenter #EnterpriseAgile #AgilePlanning #FedRAMP 

For decades, build vs. buy has been one of the defining questions in enterprise software. In the AI era, that debate has reached a new level. Vibe coding and AI-assisted development are making it faster and cheaper than ever to build software—raising the bar for what enterprise software providers need to deliver. Clear ROI. Faster time to value. Accelerated and ongoing innovation. World-class support. Differentiated capabilities that are difficult to replicate and more.... The question for software companies is increasingly simple: In the AI era are we delivering enough differentiated value to make buying the obvious choice over building? On October 2, I’m joining a 30-minute lightning talk with Carrie Osman of Cruxy and Mike Slater from The Carlyle Group to dig into how enterprise software companies can make "buy" the clear choice. We’ll explore: -Where build vs. buy is changing—and what buyers are really weighing -How pricing and positioning need to evolve as the cost of building falls -What software companies need to do to continually earn the “buy” -What these shifts could mean for software valuations and exit stories 👉 Join the conversation: https://luma.com/uyd7dfj8

The EAA has been enforced for a year. U.S. accessibility lawsuits just hit a record high (On pace to top 6,000 filings in 2026.) Here's the pattern behind it: running a scan isn't the same as proving one ran. When results sit in a disconnected dashboard, "which scan, which build, which device" turns into a reconstruction project instead of a quick answer. AI now writing 40-50% of enterprise code only widens that gap sprint over sprint. Compliance debt compounds quietly — until an audit, a lawsuit, or a stalled deal forces the question. More on what's driving the gap, and what closing it actually requires -> link in comments. #Accessibility #EAA #WCAG