Kotlin

Kotlin at Beyond Market Intelligence is a file of 8 stories. The newest of them: “JDK 28 JEPs, Apache Camel fixes, and new Java releases lead this week's roundup”, “Java's Fall Moves Forward with JobRunr 9, OpenXava 8, and the New Lathe Server”, and “How AI tipped the scales from cross-platform to native mobile development”. Three new JDK 28 JEPs are targeting structured concurrency for formalization, and that alone makes this week's roundup worth your attention. Java's ecosystem is showing real momentum this week. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every Kotlin story on Beyond Market Intelligence, newest first.

JDK 28 JEPs, Apache Camel fixes, and new Java releases lead this week's roundup
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JDK 28 JEPs, Apache Camel fixes, and new Java releases lead this week's roundup

Three new JDK 28 JEPs are targeting structured concurrency for formalization, and that alone makes this week's roundup worth your attention. The October 12th, 2026, edition also brings point releases for Gatherers4j and Yupiik Fusion, alongside 38 resolved CVEs in Apache Camel. For teams already on JDK 27, the upgrade path is refreshingly clean. Our related coverage on JDK 28's structured concurrency offers more depth.

Java's Fall Moves Forward with JobRunr 9, OpenXava 8, and the New Lathe Server
InfoQ

Java's Fall Moves Forward with JobRunr 9, OpenXava 8, and the New Lathe Server

Java's ecosystem is showing real momentum this week. JobRunr 9.0 and OpenXava 8.0 have reached GA, bringing practical improvements for those building data-heavy applications. We're also watching Lathe, a new Java language server entering the field. Quarkus, Micronaut, and LangChain4j received point releases worth exploring. If you're curious how engineering leaders are shaping production systems for an agentic future, our coverage from QCon San Francisco 2026 offers deeper insight.

How AI tipped the scales from cross-platform to native mobile development
InfoQ

How AI tipped the scales from cross-platform to native mobile development

Shopify's decision to drop React Native for Swift and Kotlin signals a pragmatic shift in mobile strategy. Mustafa Ali's recalculation, driven by AI's improved quality, flips the cost-benefit equation toward native codebases. It's a telling moment for cross-platform development, where abstraction layers no longer hold automatic sway. For teams weighing similar tradeoffs, this move invites a fresh look at long-held assumptions. If you're exploring how AI reshapes developer choices, our piece on Zig's creator and his AI ban offers a complementary perspective worth reading.

Java's Fall Momentum: JEPs, CDI 5.0, and Kotlin Tooling Advance
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Java's Fall Momentum: JEPs, CDI 5.0, and Kotlin Tooling Advance

This week's roundup leads with two promising OpenJDK JEPs targeting ahead-of-time compilation and structured concurrency. These are the kind of foundational moves that make Java's future feel more deliberate. We also see Jakarta CDI 5.0 and ADK for Kotlin 1.0 reach GA, alongside fresh updates from Open Liberty, TornadoVM, and Micronaut. Groovy 6.0 and Gradle 9.8 are nearing completion. For a deeper look at how modern tooling is evolving, our piece on Vercel's scriptc offers a useful parallel.

Machine Learning

Discover how ARPL adapts llama.cpp to your device's true capabilities

Your phone already knows what chip it's running. Why shouldn't llama.cpp? ARPL tackles that gap head-on, reading the Snapdragon 8 Elite's actual ISA extensions and core layout at runtime, then tuning thread counts and context params to match. No per-device builds, no guesswork. Testing on a Samsung S25 Ultra shows real gains. It's a smart, practical step for ARM AI, even if the NPU partitioning is still pending.

Embabel 1.0 Lets Java Developers Define AI Agents as Typed Objects
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Embabel 1.0 Lets Java Developers Define AI Agents as Typed Objects

Java developers have long watched the AI agent space from the sidelines, waiting for tools that fit their stack. Embabel's 1.0 release changes that calculus. By letting you define agents as typed domain objects, it turns abstract AI concepts into something concrete and manageable. Built on Spring AI, it supports multiple model providers while blending planning with predefined state machines. That combination offers real flexibility without sacrificing structure. For teams feeling constrained by rigid workflows, Embabel invites exploration.

Build portable serverless logic without sacrificing native cloud power
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Build portable serverless logic without sacrificing native cloud power

Vendor lock-in feels like a price you pay for using the cloud, but Elena van Engelen thinks you can have it both ways. In her presentation, she lays out how Clean Architecture, Spring Cloud Function, and Gradle modules keep business logic portable across AWS and Azure. The payoff is a live demo deploying Kotlin services with Terraform CDK. It's a practical path to flexibility. For more on reducing cloud constraints, check out our piece on stateless deployments with the Model Context Protocol.

How Rust's compile-time safety reshaped our thinking on delivery speed
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How Rust's compile-time safety reshaped our thinking on delivery speed

Rust's borrow checker often gets framed as a barrier, but Ruth Linehan's talk flips that assumption. She shows how migrating high-performance caching services from Kotlin to Rust actually shortens the developer feedback loop, turning compile-time safety into a daily advantage. It's a practical look at how the language reshapes delivery velocity, not just runtime performance. For those exploring how modern infrastructure choices ripple outward, this pairs well with our coverage of Perplexity's move to CobbleDB.