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Join us Jan-28 to meet Universal Cache! | “The Precious Eyeblink” | Using AI for troubleshooting build & test failures | Wait, did that Nx attack hit us too? | What AI-based coding is doing downstream | Open DPE and AI positions around the world | Happy new year from Gradle!
Want to connect with Gradle? Email me at [email protected], and have a productive month!
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FEATURED UPCOMING EVENT | 🌐 Jan-28: A first look at Universal Cache (and why you should care) |
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CI infrastructure is hitting a breaking point. Between surging commits and complex architectures, teams lose days re-downloading dependencies and redoing computations, causing slow builds and high costs.
Discover the new Develocity Universal Cache in this webinar with Java Champion and Developer Advocate Brian Demers and Senior Engineering Manager Mirco Dotta. If you want to come prepared with questions for our speakers, check out the details on this new product before joining!
Learn how this globally-distributed, observable caching layer slashes fetch times, eliminates environment drift, and stabilizes pipelines. Stop letting redundant work stall your delivery; register now to reclaim engineering productivity and scale your CI throughput.
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 | EXPERT TAKES |
Kent Beck: “The Precious Eyeblink” |  |
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In “The Precious Eyeblink", industry luminary Kent Beck explores the transformative power of sub-second feedback loops on developer productivity. Beck argues that when build & test feedback cycles respond within an "eyeblink," engineers maintain a state of cognitive flow, turning programming into a continuous dialogue with the code.
Once feedback exceeds a few seconds, the "precious" moment is lost to context switching and mental drift. For engineers looking to level up, Beck highlights that optimizing for speed isn’t just about saving time—it’s about preserving the focus required for high-quality, high-velocity work.
We know how even small interruptions can have an oversized effect on developer productivity—that’s why we created Universal Cache! Learn how Artifact Caching, Setup Caching, and remote Build Caching can not only save you time, but preserve your cognitive prowess…
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BEST PRACTICES |
Develocity now offers Agentic AI troubleshooting! |
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You can now use our new AI-powered Build and Test Failure Grouping across builds and projects feature to organize all your Gradle, Maven, and npm build and test failures for your entire build history. The grouped failure data is exposed via the new Develocity MCP server, meaning you can integrate with your preferred AI agent to directly query your build history to answer critical, high-level questions, like:
What were the most common build failures on CI in the last week? What types of failures happen on the production release branches? Were there infrastructure issues in the last 30 minutes? What problems should be prioritized for fixing first, and what will be the impact?
If you're already a Develocity subscriber, these features are available to you today—just contact your Gradle representative and ask about access (or email me at [email protected]) to get started.
If you're not yet a Develocity user, you can learn more about these features and more with a free guided trial of Develocity for your team.
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BEST PRACTICES | It’s 3AM: Find out if an Nx vulnerability just broke your software toolchain in 30 seconds |
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If you’re not an IT security expert, then you may be astounded to learn that over 20,000 new software security vulnerabilities were disclosed in just the first half of 2025. Expert or not, new vulnerabilities that threaten your production systems and your software supply chain are increasing exponentially.
AI has a role to play here—AI-generated code is far from perfect. A recent study reveals a 10x increase in security incidents for every 4x increase in code delivery speed, driven by larger batch sizes, larger PRs to review, and developers not fully understanding the code that’s being generated by AI.
In this article, we demonstrate using Develocity Analytics to rapidly understand—within 30 seconds—if the ‘s1ngularity’ attack on Nx affected your toolchain, and if so, where and when?
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IDEAS & INSIGHTS | The new calculus of AI-based coding |
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In this article, Joe Magerramov describes the AI developer productivity paradox—where an increase in development speed and commits doesn’t result in faster delivery.
Joe details how agentic coding has enabled his team at Amazon to achieve a 10x increase in throughput. However, he warns that high-velocity output requires a fundamental rethink of engineering rigor.
“When teams ship commits at 10x the rate, the overall math changes. What used to be a production impacting bug once or twice a year, can become a weekly occurrence. Even if most bugs get caught in integration or testing environments, they will still impact the shared code base, requiring investigation and slowing the rest of the team down. Once again, this is not just hyperbole—our team sees signs that these are the challenges that pop up with a step function increase in throughput.”
For productivity-focused engineers, the takeaway is clear: the bottleneck has shifted from writing code to the infrastructure of testing, deployment, and coordination.
Read more about the developer productivity paradox on the Gradle blog!
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CAREER OPPORTUNITIES | DPE (and AI) job openings |
The industry needs you! You might find your dream role among these job openings related to DPE, AI developer productivity, and engineering leadership.
NOTE: These postings are active at the time of sending but are subject to change.
Gradle’s customers are hiring:
Other open positions around the world:
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