Gradle Technologies

The race for AI supremacy won't be won by the team that writes code the fastest...it will be won by the team that validates and ships it the fastest. 🏁 Organizations that treat their build infrastructure as a strategic asset out-learn and out-deliver competitors. They're closing the gap between writing code and shipping it—and that gap is where AI ROI either compounds or disappears. The choice is simple: Treat your infrastructure as a utility and hit the velocity wall, or treat it as a strategic asset and lead the market. 🔗 https://lnkd.in/deSRrMie #Develocity #EngineeringLeadership #CICD #BuildPerformance #GenAI

Speed is a liability if you can't trust the source. 🛡️ As GenAI floods your supply chain with generated code, the "provenance" of your artifacts becomes a multi-million dollar concern. Lack of observability in the software supply chain isn't just a technical debt—it’s a compliance nightmare. A Build Artifact CDN like Develocity doesn't just accelerate; it governs. It provides: ✅ Centralized observability of all build inputs ✅ Strict provenance for AI-generated artifacts ✅ Mitigation of "poisoned" dependency risks The teams leading on AI delivery aren’t just moving fast. They’re moving fast with full visibility into every build input. 🔗 https://lnkd.in/deSRrMie #Develocity #EngineeringLeadership #BuildPerformance #CICD #DeveloperProductivity

AI is generating pull requests faster than your team can review them. Your CI pipeline is reviewing them even slower. ⛓️ That mismatch has a compounding cost. As commit volume grows, build times extend. As build times extend, feedback loops slow. As feedback loops slow, engineers context-switch, lose momentum, and your delivery cadence quietly degrades — even as your AI investment grows. The bottleneck isn’t the code. It’s the infrastructure designed to validate it. Continuous Delivery in the GenAI era requires Continuous Verification at scale — build tooling that accelerates alongside AI output, not tooling that was sized for a pre-AI world. 📥 Download the whitepaper: https://lnkd.in/dRXFWHeC #Develocity #EngineeringLeadership #CICD #DeveloperProductivity #BuildPerformance

Don’t let an external registry outage dictate your release schedule. 🛑 Most engineering organizations treat their build pipeline like electricity—invisible until it fails. But when your CI depends on external registries like Maven Central or npm, that’s not infrastructure resilience, it’s a single point of failure. One upstream outage. One throttled connection. Your entire AI-accelerated team grinds to a halt — mid-sprint, mid-release, mid-deadline. A Build Artifact CDN isolates you from external disruptions. It’s not just a performance upgrade. It’s operational insurance. https://lnkd.in/deSRrMie #Develocity #EngineeringLeadership #BuildPerformance #CICD #DeveloperProductivity

Legacy build infrastructure doesn't just slow your engineers down. It cancels out your AI investment. ❌ 🤖 Every dollar you spend on GenAI tooling is producing a return only as fast as your pipeline can validate and ship. If that pipeline wasn't built for today's commit volume, you're not accelerating — you're just spending more. Develocity Universal Cache and Predictive Test Selection move teams from capacity-bound to velocity-driven: ✅ Lower Cost per Change: Drop wasted compute by only running the tests that matter. ✅ Higher Throughput: Ship more deployable value without increasing headcount. ✅ Predictable Delivery: Turn AI-generated code into shipped value—faster. Don’t let legacy build infrastructure cancel out your AI gains. 🔗 https://lnkd.in/dJyNbg57 #Develocity #EngineeringLeadership #CICD #BuildPerformance #DeveloperProductivity #AI #GenAI #AgenticAI

📣 Gradle 9.5.0 RC1 is out and ready for testing 🔬 https://lnkd.in/dtBzcTRe Bug fixes and… 📋 #Task provenance in reports and failure messages 🧷 Type-safe accessors for precompiled #Kotlin Settings plugins 🔧 Build authoring improvements Please report any 🐛 on #GitHub!

Your CI pipeline is re-doing work it already did yesterday. And the day before. And last week. 🔁 In many enterprise systems, 50–80% of build time is wasted on redundant computation — re-downloading the same dependencies, re-executing unchanged tasks, re-running tests that can't possibly have broken. As GenAI drives commit volumes toward a projected 5x increase, that waste doesn't stay constant. It compounds. Every redundant job is now running more often, on more branches, against more code. Develocity Universal Cache acts as a "Build Artifact CDN" to attack this at every layer—caching dependencies, toolchain setup, and build outputs—so your infrastructure scales with AI-driven volume without scaling your costs to match. Build once. Use everywhere. Scale without the bill. 🌐 🔗 https://lnkd.in/deSRrMie #Develocity #EngineeringLeadership #BuildPerformance #CICD #DeveloperProductivity

"Just add more CI runners." 💸 As GenAI increases code volume, the knee-jerk reaction is to scale infrastructure. But this creates two major risks for engineering leaders: 1️⃣ Diminishing ROI: Skyrocketing cloud costs for the same amount of shipped value. 2️⃣ The "Context Switch" Tax: Engineers waiting 45+ minutes for test results lose momentum, driving up the "cost per change." In the GenAI era, the answer isn't more hardware — it's smarter infrastructure. The teams winning on delivery aren't the ones who threw more runners at the problem. They're the ones who stopped re-running work that didn't need to be run. 🔗 https://lnkd.in/dJyNbg57 #Develocity #EngineeringLeadership #CICD #BuildPerformance #DeveloperProductivity

The true cost of GenAI isn't the seat license. It's the hidden price of infrastructure that can't keep up. 💸 Take a look to see where the bill actually shows up. 📥 https://lnkd.in/dRXFWHeC #Develocity #EngineeringLeadership #DeveloperProductivity #CICD #BuildPerformance

Your team doubled its code output with GenAI. Your build pipeline didn’t get the memo. 🚧 If you increase code volume by 2x but your build and test pipeline remains "utility plumbing," you haven’t accelerated—you’ve just created a massive bottleneck. This is the AI Productivity Paradox. The organizations that will capture the real ROI of AI aren’t just the ones buying the best models. They’re the ones whose infrastructure can validate and ship that code at the same speed it’s being written. The ceiling on your AI investment is your pipeline. Raise it. 🔗 https://lnkd.in/deSRrMie #Develocity #EngineeringLeadership #CICD #BuildPerformance #GenAI