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1000 results for “infoq”
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Software development is entering a new wave of automation. With over 600+ AI-native dev tools flooding the landscape, the real challenge isn’t the technology itself - it’s the shift in our mental models.
According to DevOps pioneer Patrick Debois, we are moving toward 4 distinct AI-native development patterns:
1️⃣ Producer → Manager
2️⃣ Implementation → Intent
3️⃣ Delivery → Discovery
4️⃣ Content → KnowledgeAI isn’t replacing developers - it is fundamentally reshaping where engineering value is created!
🎬 Watch the #InfoQ video or read the #transcript here: https://bit.ly/4uAyonM
#SoftwareEngineering #DevOps #AINative #GenerativeAI #TechLeadership
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#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.
By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.
🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K
#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps
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#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.
By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.
🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K
#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps
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#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.
By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.
🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K
#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps
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#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.
By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.
🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K
#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps
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#Uber updated its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model.
By moving from hand-crafted features to a transformer-based sequence model, the system reduces feature freshness latency from ~24 hours to seconds.
🔗 Learn more about the update and the architecture behind it on #InfoQ ⇨ https://bit.ly/4dCly1K
#SoftwareArchitecture #DistributedSystems #MachineLearning #MLOps
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Platform Engineering Labs has announced a major update to formae - its #opensource #IaC platform.
New capabilities include:
➤ Full Kubernetes support
➤ Native Helm integration
➤ Direct .tfvars compatibility
➤ A new public plugin hubMore details on #InfoQ ➤ https://bit.ly/4dM6hKC
#PlatformEngineering #DevOps #InfrastructureAsCode #Kubernetes #CloudNative
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Platform Engineering Labs has announced a major update to formae - its #opensource #IaC platform.
New capabilities include:
➤ Full Kubernetes support
➤ Native Helm integration
➤ Direct .tfvars compatibility
➤ A new public plugin hubMore details on #InfoQ ➤ https://bit.ly/4dM6hKC
#PlatformEngineering #DevOps #InfrastructureAsCode #Kubernetes #CloudNative
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#TamboUI - the first modern Java TUI library.
It promises support ranging from low-level terminal drawing to high-level APIs, including components and event handling.
Now at v0.3.0, it’s already being adopted by major projects like Maven & Spring.
🔗 Learn more: https://bit.ly/49nNrIm
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#TamboUI - the first modern Java TUI library.
It promises support ranging from low-level terminal drawing to high-level APIs, including components and event handling.
Now at v0.3.0, it’s already being adopted by major projects like Maven & Spring.
🔗 Learn more: https://bit.ly/49nNrIm
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#TamboUI - the first modern Java TUI library.
It promises support ranging from low-level terminal drawing to high-level APIs, including components and event handling.
Now at v0.3.0, it’s already being adopted by major projects like Maven & Spring.
🔗 Learn more: https://bit.ly/49nNrIm
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#TamboUI - the first modern Java TUI library.
It promises support ranging from low-level terminal drawing to high-level APIs, including components and event handling.
Now at v0.3.0, it’s already being adopted by major projects like Maven & Spring.
🔗 Learn more: https://bit.ly/49nNrIm
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#TamboUI - the first modern Java TUI library.
It promises support ranging from low-level terminal drawing to high-level APIs, including components and event handling.
Now at v0.3.0, it’s already being adopted by major projects like Maven & Spring.
🔗 Learn more: https://bit.ly/49nNrIm
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A flurry of activity hit the #OpenJDK ecosystem this week!
Quick highlights:
🔹 3 JEPs moved from Proposed to Targeted, while another 3 advanced from Candidate to Proposed to Target for JDK 27
🔹 The proposed release schedule has also been finalizedRead the roundup on #InfoQ ➤ https://bit.ly/3RsPDZ7
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A flurry of activity hit the #OpenJDK ecosystem this week!
Quick highlights:
🔹 3 JEPs moved from Proposed to Targeted, while another 3 advanced from Candidate to Proposed to Target for JDK 27
🔹 The proposed release schedule has also been finalizedRead the roundup on #InfoQ ➤ https://bit.ly/3RsPDZ7
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A flurry of activity hit the #OpenJDK ecosystem this week!
Quick highlights:
🔹 3 JEPs moved from Proposed to Targeted, while another 3 advanced from Candidate to Proposed to Target for JDK 27
🔹 The proposed release schedule has also been finalizedRead the roundup on #InfoQ ➤ https://bit.ly/3RsPDZ7
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A flurry of activity hit the #OpenJDK ecosystem this week!
Quick highlights:
🔹 3 JEPs moved from Proposed to Targeted, while another 3 advanced from Candidate to Proposed to Target for JDK 27
🔹 The proposed release schedule has also been finalizedRead the roundup on #InfoQ ➤ https://bit.ly/3RsPDZ7
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A flurry of activity hit the #OpenJDK ecosystem this week!
Quick highlights:
🔹 3 JEPs moved from Proposed to Targeted, while another 3 advanced from Candidate to Proposed to Target for JDK 27
🔹 The proposed release schedule has also been finalizedRead the roundup on #InfoQ ➤ https://bit.ly/3RsPDZ7
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1 Billion Row Challenge creator Gunnar Morling is back with #Hardwood - a zero-dependency, ultra-fast #Java parser for #ApacheParquet.
• Uses page-level parallelization with Java Virtual Threads to maximize CPU core usage & scalable concurrency
• Built AI-natively, where strong documentation accelerated development - while human oversight remained critical for code quality, API design & regression prevention🎧 Listen to the #InfoQ #podcast to learn more about Hardwood’s architecture, parallelization & performance optimization ⇨ https://bit.ly/4wP8jlR
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1 Billion Row Challenge creator Gunnar Morling is back with #Hardwood - a zero-dependency, ultra-fast #Java parser for #ApacheParquet.
• Uses page-level parallelization with Java Virtual Threads to maximize CPU core usage & scalable concurrency
• Built AI-natively, where strong documentation accelerated development - while human oversight remained critical for code quality, API design & regression prevention🎧 Listen to the #InfoQ #podcast to learn more about Hardwood’s architecture, parallelization & performance optimization ⇨ https://bit.ly/4wP8jlR
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1 Billion Row Challenge creator Gunnar Morling is back with #Hardwood - a zero-dependency, ultra-fast #Java parser for #ApacheParquet.
• Uses page-level parallelization with Java Virtual Threads to maximize CPU core usage & scalable concurrency
• Built AI-natively, where strong documentation accelerated development - while human oversight remained critical for code quality, API design & regression prevention🎧 Listen to the #InfoQ #podcast to learn more about Hardwood’s architecture, parallelization & performance optimization ⇨ https://bit.ly/4wP8jlR
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1 Billion Row Challenge creator Gunnar Morling is back with #Hardwood - a zero-dependency, ultra-fast #Java parser for #ApacheParquet.
• Uses page-level parallelization with Java Virtual Threads to maximize CPU core usage & scalable concurrency
• Built AI-natively, where strong documentation accelerated development - while human oversight remained critical for code quality, API design & regression prevention🎧 Listen to the #InfoQ #podcast to learn more about Hardwood’s architecture, parallelization & performance optimization ⇨ https://bit.ly/4wP8jlR
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1 Billion Row Challenge creator Gunnar Morling is back with #Hardwood - a zero-dependency, ultra-fast #Java parser for #ApacheParquet.
• Uses page-level parallelization with Java Virtual Threads to maximize CPU core usage & scalable concurrency
• Built AI-natively, where strong documentation accelerated development - while human oversight remained critical for code quality, API design & regression prevention🎧 Listen to the #InfoQ #podcast to learn more about Hardwood’s architecture, parallelization & performance optimization ⇨ https://bit.ly/4wP8jlR
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#Google has introduced Middleware for Genkit, its open-source framework for building AI-powered and agentic apps.
The update adds a programmable interception layer around model calls, tool execution, and generation loops - giving developers more control over reliability, safety, and orchestration in production AI systems.
🔗 Learn more: https://bit.ly/4v51ECo
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It’s been a big week across the #Java ecosystem!
New releases include:
• WildFly 40
• Micronaut 5.0
• Maven Embedded GlassFish Plugin 8.0
• Apache Fory 1.0
• Open Liberty May 2026 edition
• Updates for Gatherers4j, Apache Kafka, and Spring AI 2.0 M7🔗Catch the #InfoQ News Roundup: https://bit.ly/4uy0O12
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It’s been a big week across the #Java ecosystem!
New releases include:
• WildFly 40
• Micronaut 5.0
• Maven Embedded GlassFish Plugin 8.0
• Apache Fory 1.0
• Open Liberty May 2026 edition
• Updates for Gatherers4j, Apache Kafka, and Spring AI 2.0 M7🔗Catch the #InfoQ News Roundup: https://bit.ly/4uy0O12
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It’s been a big week across the #Java ecosystem!
New releases include:
• WildFly 40
• Micronaut 5.0
• Maven Embedded GlassFish Plugin 8.0
• Apache Fory 1.0
• Open Liberty May 2026 edition
• Updates for Gatherers4j, Apache Kafka, and Spring AI 2.0 M7🔗Catch the #InfoQ News Roundup: https://bit.ly/4uy0O12
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It’s been a big week across the #Java ecosystem!
New releases include:
• WildFly 40
• Micronaut 5.0
• Maven Embedded GlassFish Plugin 8.0
• Apache Fory 1.0
• Open Liberty May 2026 edition
• Updates for Gatherers4j, Apache Kafka, and Spring AI 2.0 M7🔗Catch the #InfoQ News Roundup: https://bit.ly/4uy0O12
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It’s been a big week across the #Java ecosystem!
New releases include:
• WildFly 40
• Micronaut 5.0
• Maven Embedded GlassFish Plugin 8.0
• Apache Fory 1.0
• Open Liberty May 2026 edition
• Updates for Gatherers4j, Apache Kafka, and Spring AI 2.0 M7🔗Catch the #InfoQ News Roundup: https://bit.ly/4uy0O12
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#AWS has made its managed #ModelContextProtocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation & operational workflows through a standard interface.
It offers a safer, more auditable way to connect AI agents to AWS services without exposing broad credentials.
Learn more: https://bit.ly/49PyxL6