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Java News Roundup: Jakarta EE 12, GraalVM, Gradle, and More

by Chief Editor
written by Chief Editor

The Java ecosystem continues its shift toward agentic architectures and modular enterprise standards, headlined by the release of the A2A Java SDK 1.0. According to recent project updates, this release enables developers to build interoperable agentic applications, while Jakarta EE 12 development progresses toward milestone releases for its Core, Web, and Platform profiles. These updates, alongside new versions of Micrometer, GraalVM, and Spring, signal a broader industry focus on automated observability and cloud-native performance.

How is the A2A Java SDK impacting agentic development?

The release of A2A Java SDK 1.0 provides a standardized library for implementing the Agent2Agent (A2A) protocol. This allows developers to deploy applications as A2AServers, facilitating direct communication between autonomous software agents. According to the project release notes, the 1.0 version introduces an integration test kit and a Quarkus-based agent to ensure cross-SDK interoperability. A related release candidate, the A2A Java SDK for Jakarta Servers 1.0.0, further extends these capabilities by enabling agentic workflows within established Jakarta EE environments, including support for WindowsOS.

How is the A2A Java SDK impacting agentic development?
Pro Tip: When integrating agentic frameworks, prioritize cross-SDK testing early in the development lifecycle to avoid communication bottlenecks between different agent implementations.

What is the current status of Jakarta EE 12?

Jakarta EE 12 is currently on track, with most specifications within the Core, Web, and Platform profiles reaching milestone status, according to Ivar Grimstad, Jakarta EE Developer Advocate at the Eclipse Foundation. A primary point of discussion is the potential transition of MicroProfile Config into a native Jakarta Config specification to streamline enterprise configuration management. Additionally, the Eclipse GlassFish project has signaled a shift in its certification strategy; by filing Compatibility Certification Requests (CCR) for the Jakarta EE 11 Core Profile, GlassFish is positioning itself as a potential ratifying implementation for the upcoming Jakarta EE 12 Core Profile.

What is the current status of Jakarta EE 12?

How are recent framework updates improving performance?

Infrastructure and observability tools have prioritized efficiency and compatibility in recent weeks. The GraalVM Native Build Tools 1.1.2 release adds support for “grund,” a polyglot reference checker designed to validate ID-based citations across Markdown and source code. Concurrently, Gradle 9.6, currently in its second release candidate, aims to improve build speed by optimizing the Configuration Cache. According to the Gradle release notes, this version improves hit rates by tracking project properties linked to environment variables more accurately.

Ivar Grimstad, Jakarta EE Developer Advocate talks about Core Profile
Tool Key Update
Micrometer Tracing 1.7.0 Upgraded to OpenTelemetry Instrumentation 2.28.0
Eclipse JNoSQL 1.2.0 Deprecated old engine in favor of Jakarta Data

Why are Spring and JNoSQL shifting their repository models?

There is a clear move toward unifying data access patterns across the Java landscape. Eclipse JNoSQL 1.2.0 has officially deprecated its legacy repository engine, encouraging developers to migrate to the Jakarta Data repository model. This aligns with the broader push seen in the Spring ecosystem, which recently delivered a massive wave of point releases including Spring Data 2026.0.0 and Spring AI 2.0.0. By standardizing on Jakarta Data, these projects reduce the friction developers face when switching between NoSQL and relational data stores.

Why are Spring and JNoSQL shifting their repository models?
Did you know? Gradle 9.6 introduces a –non-interactive command line option specifically for automated environments, which disables all console prompting to prevent build hangs in CI/CD pipelines.

Frequently Asked Questions

  • What is the main goal of the A2A Java SDK? It provides a standardized way for agentic applications to communicate using the Agent2Agent protocol.
  • Will Jakarta EE 12 include configuration changes? Yes, the community is actively discussing moving MicroProfile Config into the Jakarta EE specification under the name Jakarta Config.
  • What is the significance of the Gradle 9.6 update? It improves build performance through better Configuration Cache tracking and adds features to support automated, non-interactive environments.

Are you transitioning your infrastructure to support agentic workflows? Share your experiences with the A2A protocol in the comments below or subscribe to our newsletter for deep dives into upcoming Jakarta EE specifications.

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Indonesia’s Mud Volcano Disaster: 20 Years of Ongoing Fallout

by Rachel Morgan News Editor
written by Rachel Morgan News Editor

On the edge of a vast, pungent sludge lake in Sidoarjo, East Java, residents gathered this weekend to mark two decades since their lives were irrevocably altered. It has been 20 years since the earth opened on May 29, 2006, unleashing a relentless torrent of steaming mud that swallowed factories, destroyed at least a dozen villages, and claimed 13 lives following a gas pipeline explosion.

For survivors like 50-year-old Harwati, the anniversary serves as a painful reminder that the disaster is far from resolved. Thousands of people remain displaced, and residents continue to call for government intervention to address the long-term health consequences they attribute to the mudflow, including reports of cancer among those living nearby.

The Struggle for Accountability

The origins of the disaster remain a subject of intense debate. Independent studies have alternated between blaming the oil and gas company PT Lapindo Brantas, which was drilling in the area at the time, and a seismic event that occurred 260 kilometres away two days prior. The company, now operating as Minarak Brantas Gas, has previously stated that investigations found no proven correlation between their drilling and the eruption.

The Struggle for Accountability
Harwati Sidoarjo mud volcano

While the company was eventually ordered to compensate victims, the process was fraught with delays and protests. The Indonesian government ultimately intervened by loaning the company funds to expedite payments, a move that survivors like 62-year-old Muhammad Irsyad view as an injustice. For many, the focus remains on the company taking full responsibility for the destruction of over 600 hectares of land.

Sidoarjo Mud Volcano

Did You Know?
Efforts to stop the flow of mud have included dropping large concrete balls into the crater, but these attempts have proven ineffective at plugging the volcano, which continues to erupt two decades later.

Expert Insight:
The Sidoarjo mudflow represents a complex intersection of corporate accountability, environmental degradation, and the slow pace of recovery for displaced populations. When public funds are utilized to mitigate damages from a private industrial accident, it often creates a lasting sense of grievance among victims who feel the burden of loss has been socialized rather than borne by the entity responsible. The ongoing health concerns cited by activists suggest that the true cost of this disaster may continue to evolve for years to come.

Looking Ahead

As the mud continues to flow, the path forward for displaced residents remains uncertain. Environmental groups, including the Mining Advocacy Network (JATAM), maintain that the damage to the region’s health and groundwater is an ongoing crisis. We see likely that pressure on the government will persist, with residents continuing to demand thorough health examinations and greater accountability.

Looking Ahead
Sidoarjo

A possible next step may involve increased scrutiny of the long-term environmental impacts on the groundwater surrounding the site. Without a definitive solution to stop the eruption, communities in the vicinity may face continued challenges in adapting to their environment, as families like that of Muhammad Irsyad continue to rebuild their lives in the shadow of the disaster.

Frequently Asked Questions

What caused the Sidoarjo mudflow?
There is no singular consensus. independent studies have alternatively blamed the drilling activities of PT Lapindo Brantas and a distant earthquake that occurred two days before the eruption.

How many people were affected by the disaster?
The eruption destroyed at least a dozen villages and displaced tens of thousands of people, covering an area of over 600 hectares.

Is the mudflow still active?
Yes, the eruptions continue to occur two decades after the initial incident, and efforts to plug the source have been ineffective.

How do you believe governments should balance the need for corporate accountability with the urgent requirement for public assistance in industrial disasters?

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Muddy yet clear-cut: How Chinese investors are turning jungle into Indonesia’s new capital

by Rachel Morgan News Editor
written by Rachel Morgan News Editor

Indonesia is in the process of shifting its seat of government from the gridlocked and sinking metropolis of Jakarta to a brand latest city carved out of the Borneo jungle. Known as Ibu Kota Nusantara, or IKN, the project aims to establish a new administrative center for an archipelago of 287 million people.

A Strategic Shift from Jakarta

The decision to move the capital is driven by severe environmental and urban pressures facing Jakarta. The current capital is plagued by heavy pollution, extreme traffic congestion, and the critical issue of land sinking, which has left much of the city vulnerable to the sea.

The new site in Borneo is currently a landscape of dense jungle, where construction crews must navigate challenges such as bridge washouts and the protection of endangered species, including sun bears. The transition is intended to alleviate the burden on Jakarta while distributing political power across the region.

Did You Know? The new capital is being built in the jungles of Borneo, where roadside warnings are currently in place to prevent the poaching of endangered sun bears.

The Influence of Chinese Investment

As Indonesia navigates a year of budget cuts, Chinese investors have grow a primary pillar for the construction of Nusantara. According to government figures, Chinese firms spent US$29 million in 2025 on development and have committed an additional US$3.08 billion.

The Influence of Chinese Investment
Chinese Indonesia Nusantara

Several major firms are leading specific infrastructure projects:

  • Delonix: The Shenzhen-based group was the first Chinese firm to join the project and is developing a mixed-use commercial site.
  • Huawei Technologies: Working with local partners to implement “smart city” infrastructure.
  • Citic Construction: Focused on the development of residential housing.

Beyond these projects, Chinese firms are involved in mass transit initiatives worth 28 trillion rupiah and road and tunnel construction valued at 27 trillion rupiah (approximately US$1.57 billion).

Expert Insight: The heavy reliance on Chinese capital and technical expertise suggests a strategic trade-off. By integrating foreign investment to offset domestic budget constraints, Indonesia may accelerate its infrastructure timeline, but it also deeply ties the future of its political heart to long-term relations with the Chinese market.

Looking Toward 2028

While the city is currently dominated by forest and construction sites, We see due to start taking over government functions from Jakarta in 2028. The success of this transition may depend on the continued flow of foreign investment and the ability to overcome logistical hurdles in the Borneo interior.

Future developments could include the full realization of the “smart city” vision and the completion of the mass transit networks. However, the pace of growth is likely to be dictated by the balance between available funding and the environmental constraints of the region.

Frequently Asked Questions

Why is Indonesia moving its capital from Jakarta?

The move is intended to save Jakarta from overpopulation, extreme pollution, and the fact that the city is sinking into the sea.

Charlie Munger: Chinese Investors Like to Gamble – That’s Stupid!

What role are Chinese companies playing in Nusantara?

Chinese investors are providing significant funding and expertise, including the development of smart city infrastructure by Huawei, housing by Citic Construction, and commercial projects by Delonix, as well as funding for roads and mass transit.

When is the new capital expected to start operations?

Ibu Kota Nusantara is due to start taking over from Jakarta in 2028.

Do you believe moving a capital city to a new location is the most effective way to solve urban decay and environmental sinking?

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Java News Roundup: GraalVM Build Tools, EclipseLink, Spring Milestones, Open Liberty, Quarkus

by Chief Editor
written by Chief Editor

Java’s Evolution: A Deep Dive into Recent Releases and Future Trends

The Java ecosystem is experiencing a period of rapid innovation, with recent releases signaling a strong push towards performance, developer productivity, and broader platform support. From the General Availability of GraalVM Native Build Tools to updates across Spring, Quarkus, and EclipseLink, the landscape is shifting. This article explores these developments and what they mean for the future of Java development.

GraalVM and the Rise of Native Image Technology

GraalVM continues to be a central force in Java’s evolution. The GA release of GraalVM Native Build Tools 1.0.0 streamlines the process of creating native executables from Java code. This is a significant step, as native images offer faster startup times and reduced memory footprint compared to traditional JVM-based applications. The January 2026 Oracle Critical Patch Update for GraalVM Community Edition (25.0.2) underscores Oracle’s commitment to security and stability within the GraalVM ecosystem.

Pro Tip: Consider using GraalVM Native Image for microservices or command-line applications where startup time and resource consumption are critical.

The example project demonstrating JPA with EclipseLink and GraalVM Native Image (available on GitHub) provides a practical starting point for developers looking to explore this technology. However, it’s important to note that Oracle GraalVM for JDK 24 was the last version supported as part of Oracle Java SE products, so users should be aware of licensing implications when considering Enterprise Edition options.

Framework Updates: Spring, Quarkus, and Open Liberty

The Spring ecosystem remains vibrant, with the fourth milestone release of Spring Boot 4.1.0 focusing on improvements to observability and integration with gRPC. Similarly, Spring Modulith and Spring AI are receiving regular updates, indicating a continued investment in modular architectures and AI-powered development tools. The fourth milestone release of Spring AI 2.0.0 adds support for Google Search and custom tooling for Gemini 3 models.

Quarkus 3.34.0 delivers bug fixes and deprecates older internal components, signaling a move towards a more streamlined and modern codebase. Open Liberty 26.0.0.3 introduces enhancements to user management and application startup optimization. These updates collectively demonstrate a commitment to improving developer experience and application performance across different Java frameworks.

Jakarta EE and EclipseLink: Modernizing Enterprise Java

The GA release of EclipseLink 5.0.0 marks a significant milestone, bringing full support for the Jakarta Persistence 3.2 specification under Jakarta EE 11. This includes improvements to the Jakarta Persistence Query Language (JPQL) and platform compatibility. GlassFish 8.0.1, the first maintenance release, further solidifies the Jakarta EE ecosystem with bug fixes and performance optimizations.

Infinispan and the Expanding Data Landscape

The first development release of Infinispan 16.2.0 showcases the project’s commitment to expanding its capabilities, particularly in the realm of data streaming and interoperability. The implementation of the Redis Serialization Protocol (RESP) and OpenAPI v3 in the Infinispan REST API demonstrates a desire to integrate with a wider range of data sources and systems.

Looking Ahead: Key Trends in Java Development

Several key trends are shaping the future of Java development:

  • Native Image Adoption: As GraalVM matures and tooling improves, we can expect to see wider adoption of native image technology, particularly in cloud-native environments.
  • Microservices Architectures: Frameworks like Spring Boot and Quarkus are well-suited for building microservices, and their continued development will drive innovation in this area.
  • AI Integration: The emergence of frameworks like Spring AI signals a growing interest in integrating AI capabilities into Java applications.
  • Jakarta EE Evolution: The Jakarta EE ecosystem is undergoing a modernization process, with recent specifications and implementations driving innovation in enterprise Java.
  • Observability and Monitoring: Improvements in observability, as seen in the Spring Boot 4.1.0 release, will develop into increasingly important as applications become more complex.

FAQ

Q: What is GraalVM Native Image?
A: GraalVM Native Image compiles Java code ahead of time into a standalone executable, resulting in faster startup times and reduced memory usage.

Q: What is Jakarta EE?
A: Jakarta EE is the open-source evolution of Java EE, providing a set of specifications for building enterprise Java applications.

Q: Is Oracle GraalVM still supported?
A: Oracle GraalVM for JDK 24 was the final version licensed and supported as part of Oracle Java SE products. Users should explore Oracle Software Delivery Cloud for updates to previously released versions.

Q: Where can I find more information about Spring Boot?
A: Visit the Spring Boot project website for documentation, tutorials, and release notes.

Did you realize? The Java ecosystem is one of the largest and most active open-source communities in the world, with a vast network of developers and contributors.

We encourage you to explore these new releases and consider how they can benefit your Java projects. Share your thoughts and experiences in the comments below!

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QCon London 2026: Behind Booking.com’s AI Evolution: The Unpolished Story

by Chief Editor
written by Chief Editor

Booking.com’s AI Journey: Lessons for the Future of Data-Driven Platforms

Booking.com’s evolution from Perl scripts and MySQL databases to a sophisticated AI platform, as detailed at QCon London 2026 by Senior Principal Engineer Jabez Eliezer Manuel, offers valuable insights into the challenges and triumphs of scaling AI within a large organization. The presentation, “Behind Booking.com’s AI Evolution: The Unpolished Story,” highlighted a 20-year journey marked by pragmatic experimentation and a willingness to adapt.

The Power of Data-Driven DNA

In 2005, Booking.com began extensive A/B testing, running over 1,000 experiments concurrently and accumulating 150,000 total experiments. Despite a less than 25% success rate, the company prioritized rapid learning over immediate results, fostering a “Data-Driven DNA” that continues to shape its approach to innovation. This early commitment to experimentation laid the groundwork for future AI initiatives.

From Hadoop to a Unified Platform: A Migration Story

Booking.com initially leveraged Apache Hadoop for distributed storage and processing, building two on-premise clusters with approximately 60,000 cores and 200 PB of storage by 2011. However, limitations such as noisy neighbors, lack of GPU support, and capacity issues eventually led to a seven-year migration away from Hadoop. The migration strategy involved mapping the entire ecosystem, analyzing usage to reduce scope, applying the PageRank algorithm, migrating in waves, and finally phasing out Hadoop. A unified command center proved crucial to this complex undertaking.

The Evolution of the Machine Learning Stack

The company’s machine learning stack has undergone significant transformation, evolving from Perl and MySQL in 2005 to agentic systems in 2025. Key technologies along the way included Apache Oozie with Python, Apache Spark with MLlib, and H2O.ai. 2015 marked a turning point with the resolution of challenges in real-time predictions and feature engineering. As of 2024, the platform handles over 400 billion predictions daily with a latency of less than 20 milliseconds, powered by more than 480 machine learning models.

Domain-Specific AI Platforms

Booking.com has developed four distinct domain-specific machine learning platforms:

  • GenAI: Used for trip planning, smart filters, and review summaries.
  • Content Intelligence: Focused on image and review analysis, and text generation for detailed hotel content.
  • Recommendations: Delivering personalized content to customers.
  • Ranking: A complex platform optimizing for choice and value, exposure and growth, and efficiency and revenue.

The initial ranking formula, a simple function of bookings, views, and a random number, proved surprisingly resilient to machine learning replacements due to infrastructure limitations. The company adopted an interleaving technique for A/B testing, allowing for more variants with less traffic, followed by validation with traditional A/B testing.

Future Trends: What Lies Ahead?

Booking.com’s journey highlights several key trends likely to shape the future of AI-powered platforms:

  • Unified Orchestration Layers: The convergence of domain-specific AI platforms into a unified orchestration layer, as demonstrated by Booking.com, will become increasingly common. This allows for greater synergy and efficiency.
  • Pragmatic AI Adoption: The emphasis on learning from failures and iterating quickly, rather than striving for perfection, will be crucial for successful AI implementation.
  • Infrastructure as a Limiting Factor: Infrastructure limitations can significantly impact the effectiveness of even the most sophisticated algorithms. Investing in scalable and robust infrastructure is paramount.
  • The Importance of Data Management: Effective data management, including strategies for handling large datasets and ensuring data quality, remains a foundational element of any successful AI initiative.

FAQ

Q: What was the biggest challenge Booking.com faced during its AI evolution?
A: Migrating away from Hadoop proved to be a significant undertaking, requiring a seven-year phased approach.

Q: What is the current latency of Booking.com’s machine learning inference platform?
A: Less than 20 milliseconds.

Q: What is “interleaving” in the context of A/B testing?
A: A technique where 50% of experiments are interwoven into a single experiment, allowing for more variants with less traffic.

Q: What technologies did Booking.com use in its machine learning stack?
A: Perl, MySQL, Apache Oozie, Python, Apache Spark, MLlib, H2O.ai, deep learning, and GenAI.

Did you realize? Booking.com’s initial A/B testing experiments had a less than 25% success rate, but the focus was on learning, not immediate results.

Pro Tip: Don’t be afraid to experiment and fail quick. A culture of learning from mistakes is essential for successful AI adoption.

Want to learn more about the latest trends in AI and machine learning? Explore our other articles or subscribe to our newsletter for regular updates.

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Java News Roundup: Lazy Constants, TornadoVM 3.0, NetBeans 29, Quarkus, JReleaser, Open Liberty

by Chief Editor
written by Chief Editor

Java’s Evolution: AI Acceleration, Performance Tweaks, and a Streamlined Developer Experience

The Java ecosystem continues its rapid evolution, with recent updates signaling a strong focus on performance, developer productivity, and emerging technologies like AI. February 23rd, 2026, marked a significant checkpoint with releases and advancements across several key projects, from core JDK improvements to specialized tools like TornadoVM and NetBeans.

Lazy Constants: A Step Towards More Efficient Java

OpenJDK’s JEP 531, now a Candidate release after previously being known as StableValues, introduces Lazy Constants. This feature aims to optimize performance by delaying the initialization of constants until they are actually needed. The latest preview removes the isInitialized() and orElse() methods, streamlining the interface and focusing on core functionality. A recent ofLazy() factory method allows for the creation of stable, pre-defined elements for Lists, Sets, and Maps. This subtle but impactful change promises to reduce application startup times and memory footprint.

GPU Acceleration Gains Momentum with TornadoVM 3.0

TornadoVM, a plugin for OpenJDK and GraalVM, is making significant strides in bringing Java applications to heterogeneous hardware. The recent 3.0 release focuses on stability and usability, with refactors to the IntelliJ project generation and GitHub Actions workflows. TornadoVM targets CPUs, GPUs (Intel, NVIDIA, AMD), and FPGAs, enabling developers to leverage the power of these accelerators for demanding workloads. It supports OpenCL, NVIDIA CUDA PTX assembly, and SPIR-V binary, offering flexibility in hardware choices.

Pro Tip: TornadoVM doesn’t replace the Java Virtual Machine (JVM); it complements it, allowing you to offload specific code sections to GPUs for faster processing. This is particularly useful for computationally intensive tasks like machine learning and data analysis.

NetBeans 29: Enhanced Developer Tools

Apache NetBeans 29 delivers a suite of improvements focused on stability and performance. Updates to the LazyProject class improve initialization speed, while fixes address warnings related to the NotificationCenterManager. Support for Codeberg projects has been added to the DefaultGitHyperlinkProvider class, expanding the IDE’s integration with popular code hosting platforms.

Quarkus, Micronaut, JReleaser, Chicory, and Jox: A Thriving Ecosystem

Beyond the major releases, several other projects saw updates. Quarkus 3.32 integrates with Project Leyden for improved service registration. Micronaut 4.10.9 provides bug fixes and updates to core modules. JReleaser 1.23.0 introduces path filtering for changelog generation. Chicory 1.7.0 advances WebAssembly support with GC and multi-memory proposals. Jox 1.1.2-channels adds non-blocking methods for integration with frameworks like Netty and Vert.x. These updates demonstrate the vibrant and active nature of the Java development community.

The Rise of WebAssembly and JVM Native Runtimes

Chicory’s advancements in WebAssembly support highlight a growing trend: bringing the power of the JVM to the web and beyond. WebAssembly offers a portable, efficient execution environment, and projects like Chicory are making it easier for Java developers to target this platform. This opens up new possibilities for building high-performance web applications and serverless functions.

Looking Ahead: AI, Heterogeneous Computing, and Developer Experience

These recent updates point to several key trends shaping the future of Java. AI acceleration, as exemplified by TornadoVM, is becoming increasingly important as developers seek to leverage GPUs for machine learning and data science. Heterogeneous computing, utilizing diverse hardware architectures, is gaining traction as a way to optimize performance and energy efficiency. Finally, a continued focus on developer experience, through tools like NetBeans and streamlined frameworks like Quarkus and Micronaut, is essential for attracting and retaining Java developers.

Did you know? TornadoVM supports multiple vendors, including NVIDIA, Intel, AMD, ARM, and even RISC-V hardware accelerators, offering developers a wide range of options for optimizing their applications.

FAQ

Q: What is JEP 531?
A: JEP 531, Lazy Constants, aims to improve Java performance by delaying the initialization of constants until they are actually used.

Q: What does TornadoVM do?
A: TornadoVM allows Java programs to run on GPUs and other specialized hardware, accelerating computationally intensive tasks.

Q: What is the benefit of using NetBeans 29?
A: NetBeans 29 offers improved performance, stability, and integration with popular code hosting platforms like Codeberg.

Q: What is WebAssembly and why is it important?
A: WebAssembly is a portable, efficient execution environment that allows Java applications to run in web browsers and other environments.

Explore the latest advancements in Java development and share your thoughts in the comments below! Don’t forget to subscribe to our newsletter for more in-depth analysis and updates on the Java ecosystem.

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Java’s Giant Sea Wall Project Begins with State and Private Funds

by Rachel Morgan News Editor
written by Rachel Morgan News Editor

Construction is slated to initiate on a massive sea wall project along the northern coast of Java, spanning approximately 535 kilometers across Banten, Jakarta, Central Java, and East Java. The North Java Coastal Authority Agency (BOPPJ) is currently developing the master plan for the project, which aims to protect the region from declining groundwater levels and tidal floods.

Protecting People and Assets

According to BOPPJ Head Didit Herdiawan, the project is critical to safeguarding both the population and national assets. He stated on February 23, 2026, that the sea wall is needed to protect 17-20 million people and approximately US$368 billion in national assets.

Did You Know? This project has been included in the National Development Planning Agency (Bappenas) files since 1995.

The planned coastal defenses will utilize an integrated system, combining offshore and onshore dikes with nature-based solutions, including mangrove ecosystem reinforcement.

Financing and Implementation

The estimated cost of the giant sea wall ranges from US$800 billion to US$1 trillion. The government intends to fund the project through the State Budget and various investments, including foreign capital. President Prabowo Subianto has stated that construction “will commence immediately,” and has opened the door to potential investors from China, South Korea, Japan, Europe, and the Middle East.

Construction is expected to take 15 to 20 years. Chairperson of the Indonesian Chamber of Commerce and Industry (Kadin) Anindya Bakrie emphasized the need for a clear plan for cooperation and returns to attract private sector involvement, particularly given the project’s scale and duration. He noted that constructing the sea wall along the Jakarta coastline alone is estimated to cost around US$8 billion and take at least eight years.

Expert Insight: The sheer scale of this project, coupled with the long construction timeline, presents significant logistical and financial challenges. Securing both public and private investment will be crucial, and a transparent framework for returns will be essential to attract long-term commitment from the private sector.

Frequently Asked Questions

How long is the planned sea wall?

The giant sea wall is planned to span approximately 535 kilometers along the northern coast of Java.

Why is this project considered urgent?

According to BOPPJ Head Didit Herdiawan, the urgent construction is necessary to protect Java’s northern coast from declining groundwater levels and tidal floods.

What is the estimated cost of the project?

The construction of the giant sea wall is estimated to require approximately US$800 billion to US$1 trillion.

As the project moves forward, the government will need to balance the urgency of coastal protection with the complexities of securing funding and ensuring long-term sustainability. Will the government be able to attract sufficient investment to realize this ambitious undertaking?

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TornadoVM 2.0 Brings Automatic GPU Acceleration and LLM support to Java

by Chief Editor
written by Chief Editor

Java Gets a Speed Boost: TornadoVM 2.0 and the Rise of Heterogeneous Computing

The open-source TornadoVM project has hit a significant milestone with the release of version 2.0, promising a new era of performance for Java applications. But this isn’t just about faster code; it’s about fundamentally changing where Java code runs, and unlocking the potential of diverse hardware like GPUs and FPGAs. This is particularly exciting for developers tackling the resource-intensive world of Large Language Models (LLMs).

Beyond the JVM: Offloading for Performance

For years, Java has been largely tied to the Java Virtual Machine (JVM). TornadoVM doesn’t replace the JVM; instead, it acts as a powerful extension. It intelligently offloads portions of your Java code to specialized hardware accelerators – CPUs, GPUs, and FPGAs – handling the complex task of memory management between these systems. Think of it as a smart traffic controller, directing tasks to the best lane for optimal speed.

This approach is crucial for modern workloads. Cloud computing and machine learning, especially LLMs, demand massive computational power. Traditional CPU-only solutions are often hitting their limits. According to a recent report by Gartner, AI infrastructure spending is projected to reach $198 billion in 2024, highlighting the urgent need for efficient hardware utilization.

How Does it Work? A Developer’s Perspective

TornadoVM functions as a Just-In-Time (JIT) compiler, translating Java bytecode into code that can run on different backends: OpenCL C, NVIDIA CUDA PTX, and SPIR-V binary. Developers choose the backends based on their hardware setup. The beauty lies in the fact that you don’t need to rewrite your Java code from scratch.

The project offers two main ways to leverage this power:

  • Loop Parallel API: Simple annotations like @Parallel and @Reduce can automatically parallelize loops, ideal for tasks where iterations don’t depend on each other.
  • Kernel API: Provides more granular control, allowing developers to write GPU-style code with concepts like thread IDs and local memory.

Here’s a simple example of the Loop Parallel API in action:

public static void vectorMul(FloatArray a, FloatArray b, FloatArray result) {
    for (@Parallel int i = 0; i < result.getSize(); i++) {
        result.set(i, a.get(i) * b.get(i));
    }
}

While the Kernel API offers more control, it requires a more explicit approach, building a TaskGraph to define data transfers and computations.

GPULlama3.java: LLMs in Pure Java, Accelerated

Perhaps the most exciting development is the accompanying GPULlama3.java library. This complete LLM inference library, built entirely in Java and leveraging TornadoVM, allows developers to run LLMs on GPUs without relying on external dependencies like Python or native CUDA libraries. This simplifies deployment and reduces potential compatibility issues.

The latest v0.3.0 release boasts a 30% performance boost on NVIDIA GPUs, optimized FP16 and Q8 kernel generation, and easier setup thanks to new SDKs. It supports a growing list of models, including Llama 3, Mistral, and Qwen3, in the single-digit billion parameter range. Quarkus and LangChain4j integration further streamlines development.

Did you know? The ability to run LLMs entirely in Java, accelerated by TornadoVM, opens up possibilities for deploying AI models in environments where traditional Python-based solutions are impractical or undesirable.

The Future of Heterogeneous Java

TornadoVM’s impact extends beyond LLMs. Any Java application with computationally intensive tasks – scientific simulations, financial modeling, image processing – could benefit from hardware acceleration. The trend towards heterogeneous computing, where applications leverage the strengths of different processors, is only going to accelerate.

Several key trends are shaping this future:

  • Increased Adoption of FPGAs: FPGAs offer unparalleled flexibility and can be customized for specific workloads, providing even greater performance gains.
  • Rise of Apple Silicon: TornadoVM’s early support for Apple Silicon indicates a growing recognition of the importance of diverse hardware platforms.
  • Simplified Developer Experience: Tools like TornadoInsight, a plugin for IntelliJ IDEA, are making it easier for developers to harness the power of heterogeneous computing.
  • Standardization Efforts: The development of standardized APIs and frameworks will further lower the barrier to entry for developers.

The Beehive lab, the driving force behind TornadoVM, is actively working on making the project more accessible through SDKman integration and improving its core architecture.

FAQ

  • What is TornadoVM? A runtime system that accelerates Java programs on CPUs, GPUs, and FPGAs.
  • Does TornadoVM replace the JVM? No, it extends the JVM by offloading code to hardware accelerators.
  • Is GPULlama3.java easy to use? Yes, the latest release simplifies setup and offers seamless integration with popular frameworks like Quarkus and LangChain4j.
  • What types of models does GPULlama3.java support? Currently supports several FP16 and 8-bit quantized models in the single-digit billion parameter range, including Llama 3, Mistral, and Qwen3.
  • Where can I find more information? Visit the TornadoVM website and the GitHub repository.

Pro Tip: Start by experimenting with the Loop Parallel API. It’s the easiest way to get started with TornadoVM and see immediate performance improvements.

Ready to explore the potential of heterogeneous computing for your Java applications? Share your thoughts and experiences in the comments below! Don’t forget to check out the TornadoVM website for the latest updates and documentation.

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News

New IESR study suggests policies to curb individual carbon footprints – Society

by Chief Editor
written by Chief Editor

Urban Living’s Hidden Cost: How Cities in Java are Driving Climate Change

A recent study sheds light on a concerning trend: urban dwellers in Java, Indonesia, are contributing significantly more to carbon dioxide (CO2) emissions than their rural counterparts. This raises important questions about sustainable urban development and the lifestyle choices that impact our planet.

The Urban Footprint: A Deep Dive into Java’s Emissions

The Institute for Essential Services Reform (IESR) conducted a survey across nine urban, semi-urban, and rural areas in Java, meticulously tracking the daily habits of 423 individuals. Their platform, jejakkarbonku.id, allowed participants to record their mobility, food consumption, and electricity usage, painting a detailed picture of their individual carbon footprints.

The findings were stark. Residents of major urban centers like South Jakarta, Bandung, and Yogyakarta emitted approximately 3.4 tonnes of carbon annually – a staggering 45% higher than those in rural Cianjur and Purworejo. Even compared to smaller cities like Bogor and Serang, urban emissions were 21% higher.

Why the Disparity? Unpacking Urban Consumption Patterns

Several factors contribute to this emissions gap. Urban lifestyles often involve:

  • Increased Transportation Needs: Longer commutes, reliance on private vehicles, and frequent air travel.
  • Higher Consumption Levels: Greater access to consumer goods, processed foods, and energy-intensive appliances.
  • Infrastructure Demands: Energy-intensive buildings, extensive road networks, and waste management systems.

Did you know? The carbon footprint of your food choices can vary dramatically. Locally sourced, plant-based diets generally have a lower impact than those heavily reliant on imported or processed foods.

The Ripple Effect: Implications for Indonesia and Beyond

This study’s implications extend far beyond Java. As urbanization continues globally, understanding and mitigating the environmental impact of cities becomes crucial. Indonesia, with its rapidly growing urban population, faces a particular challenge.

Failure to address these issues could exacerbate climate change, leading to more frequent extreme weather events, rising sea levels, and disruptions to agriculture and ecosystems. This could negatively affect Indonesia’s economy, infrastructure, and the well-being of its citizens.

Policy Recommendations: Steering Towards a Sustainable Future

The IESR report emphasizes the need for targeted policies aimed at modifying urban dwellers’ behavior. Some potential strategies include:

  • Promoting Sustainable Transportation: Investing in public transportation, cycling infrastructure, and pedestrian-friendly zones.
  • Encouraging Energy Efficiency: Implementing building codes that prioritize energy conservation and incentivizing the adoption of renewable energy sources.
  • Raising Awareness: Educating the public about the environmental impact of their consumption choices and promoting sustainable lifestyles.
  • Supporting Local and Sustainable Food Systems: Encouraging urban agriculture, farmers markets, and reducing food waste.

Pro Tip: Calculate your own carbon footprint using online tools and identify areas where you can make a difference. Small changes, like switching to LED lighting or reducing meat consumption, can have a significant impact over time.

Beyond Individual Action: Systemic Change is Key

While individual actions are important, systemic changes are necessary to achieve meaningful reductions in urban emissions. This includes:

  • Green Infrastructure Development: Integrating green spaces, parks, and urban forests into city planning to absorb CO2 and mitigate the urban heat island effect.
  • Circular Economy Initiatives: Promoting waste reduction, reuse, and recycling to minimize resource consumption and pollution.
  • Smart City Technologies: Utilizing data and technology to optimize energy consumption, traffic flow, and resource management.

Real-life example: Curitiba, Brazil, is often cited as a model for sustainable urban planning. Its integrated bus rapid transit system, extensive green spaces, and emphasis on pedestrian-friendly design have significantly reduced its environmental impact.

The Role of Technology: Innovation for a Greener Tomorrow

Technological innovation holds immense potential for reducing urban emissions. From electric vehicles and smart grids to carbon capture technologies and alternative building materials, advancements are constantly emerging that can help cities become more sustainable.

Reader Question: What innovative technologies do you think will have the biggest impact on reducing urban carbon emissions in the next decade? Share your thoughts in the comments below!

FAQ: Understanding Urban Emissions in Java

Why are urban dwellers in Java emitting more CO2?
Urban lifestyles in Java tend to involve higher consumption levels, increased transportation needs, and greater reliance on energy-intensive infrastructure.
What can be done to reduce urban emissions in Java?
Promoting sustainable transportation, encouraging energy efficiency, raising awareness about sustainable lifestyles, and supporting local food systems are some effective strategies.
What is the role of the government in addressing this issue?
The government can implement policies that incentivize sustainable behavior, invest in green infrastructure, and promote technological innovation.
How can individuals contribute to reducing urban emissions?
Individuals can make conscious choices to reduce their carbon footprint by adopting sustainable transportation options, conserving energy, and reducing their consumption of resource-intensive products.

The challenge of reducing urban emissions in Java, and globally, is significant. However, by embracing sustainable practices, investing in innovative technologies, and fostering a culture of environmental awareness, we can create cities that are not only vibrant and prosperous but also environmentally responsible.

Want to learn more about sustainable living? Explore our other articles on renewable energy and eco-friendly practices. Don’t forget to subscribe to our newsletter for the latest updates!

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Tech

Windows 11 AI Updates: Paint, Notepad & Snipping Tool Get Smart!

by Chief Editor
written by Chief Editor

Microsoft’s Windows 11 Update: A Glimpse into the AI-Powered Future of Everyday Tools

Microsoft is injecting fresh innovation into its core Windows 11 applications, signaling a significant shift toward AI-driven features. Paint, Snipping Tool, and Notepad – the familiar stalwarts of the Windows ecosystem – are getting a makeover. This update is not merely a cosmetic refresh, but a strategic move to integrate artificial intelligence and reshape how we interact with these essential tools.

Paint’s AI Transformation: Beyond Simple Editing

Paint is no longer just for basic image editing; it’s becoming a creative powerhouse, especially on Copilot+ PCs. The most notable addition is the AI-powered sticker generator. Imagine turning text descriptions into custom stickers instantly! Type “a cat wearing sunglasses,” and Paint generates a selection of stickers ready for your projects. This capability streamlines content creation and injects fun into the process. It’s a taste of the future, where AI empowers everyday users.

Another notable feature is the “Object select” tool, which intelligently isolates elements within an image. This tool, already popular in other applications, will greatly enhance the ease of editing. It allows you to make changes without the need for tedious manual selections. For those new to Paint, a welcome screen is available that introduces the new features. Did you know that similar tools are already a hit in apps like Adobe Photoshop? The shift towards intelligent selections is a trend that continues.

Snipping Tool: Precision and Color Selection at Your Fingertips

The Snipping Tool is also getting a boost, catering to those who work with images, colors, and interface design. This update brings the ‘Perfect Screenshot’ feature, which automatically identifies the optimal area to capture, saving users valuable time. Also, the new color picker will allow users to select any color on the screen and get the code in HEX, RGB, or HSL format, perfect for designers and developers who need to replicate a specific tone. These tools will become essential for professionals and students.

Pro tip: Use the zoom feature (mouse wheel or Ctrl + / -) in the Color Picker for pinpoint accuracy.

Notepad Gets a Writing Companion: AI-Powered Text Generation

Notepad is embracing the future with a “Write” feature, which leverages AI to generate text from simple prompts. This feature assists those who are starting from scratch or want to expand existing text. Simply right-click within your document or select a block of text and choose the “Write” command. This innovative feature is not free: It requires a Microsoft account and a Microsoft 365 subscription (Personal, Family, Business, or Copilot Pro), since the feature uses AI credits.

Write is designed to streamline the writing process, and it’s very useful for business tasks such as drafting emails or creating reports. For those who wish to stay in control, the AI features can be turned off in the settings. The integration of AI writing assistants in everyday applications like Notepad hints at a broader trend of AI assistance infiltrating all aspects of our digital workflow.

The Future Trends: AI Everywhere

The integration of AI in these core Windows 11 apps signifies a broader industry trend. The use of AI to simplify tasks is a common theme. We’re seeing this in other applications as well. For example, Adobe has introduced AI-powered features across its Creative Cloud suite, including tools for image editing and content creation.

The accessibility of these tools to everyday users is also changing. No longer just for experts, AI is being made accessible to everyone, streamlining creative workflows and increasing productivity. The key is ease of use, and Microsoft’s updates are designed to be intuitive. As AI algorithms improve, we can expect even more sophisticated features that allow users to do things that were once impossible.

Did you know? The shift towards AI assistance is not just about automation. It’s also about enhancing user creativity and providing new ways to interact with technology.

FAQ: Your Questions Answered

What is Copilot+? Copilot+ PCs are a new category of Windows PCs designed for AI-powered experiences. They have specific hardware requirements.

Are these AI features free? Some features require a Microsoft 365 subscription and utilize AI credits.

Can I disable AI features? Yes, AI features can be disabled in the settings of each application.

When will these updates be available? The updates are rolling out now.

Will these features be available on all PCs? Some features, like the AI-powered sticker generator in Paint, are designed specifically for Copilot+ PCs.

Will the other apps follow the same trends? Yes, the shift towards AI assistance is a common theme across the industry.

Interested in learning more about how AI is reshaping the tech landscape? Explore our other articles on AI in Productivity and the future of Content Creation.

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