InfoQ Homepage Development Content on InfoQ
-
.NET 10 RC 1: Introduces Persistent State in Blazor, Enhanced Validation, and Production-Ready Tools
Last week, Microsoft announced the release of .NET 10 RC 1, the first of two release candidates ahead of the final version. As stated by the .NET team, this build comes with a go-live license, allowing developers to use it in production environments with official support. It is available alongside Visual Studio 2026 Insiders and is supported in Visual Studio Code through the C# Dev Kit.
-
Improved Application Insights Code Optimizations Identify .NET Performance Bottlenecks Automatically
Microsoft is expanding .NET developers’ toolset with enhancements to Code Optimizations. This feature is part of Azure Monitor offering and now works with the .NET Profiler in Application Insights to automatically detect CPU, memory, and threading issues in production apps and give code‑level recommendations to fix them.
-
Java 25, the Next LTS Release, Delivers Finalized Features and Focus on Performance and Runtime
Oracle has released version 25 of the Java programming language and virtual machine. As the first LTS release since JDK 21, the final feature set includes 18 JEPs, seven of which are finalized having evolved through the incubation and preview processes. Nine of these features are focused on performance and runtime.
-
From Black Box to Blueprint: Thoughtworks Uses Generative AI to Extract Legacy System Functionality
Thoughtworks consultants successfully harnessed generative AI to decode legacy systems lacking source code. Using Gemini 2.5 Pro, they accelerated reverse engineering, creating validated "blueprints" of functionality in just two weeks. The pilot showcased AI's potential to drastically reduce time and risk in modernizing opaque systems while balancing speed with validation.
-
Introducing the MCP Registry
The Model Context Protocol (MCP) ecosystem is enhancing AI development with a public registry for server discovery and a secure gateway for agent interactions. This initiative, featuring the recently launched MCP Registry and the Linux Foundation's Agentgateway project, streamlines the management of AI tools, fostering collaboration and security for engineering teams.
-
Pinterest Unifies Engineering Tools with New Pinconsole Platform
Pinterest has introduced PinConsole, a unified internal developer platform (IDP) that centralizes engineering workflows. Built to address fragmented tools for deployment, monitoring, and service management, PinConsole provides a consistent layer that lets engineers focus on business logic instead of infrastructure complexity.
-
Java News Roundup: OpenJDK JEPs, TornadoVM, Spring Framework, Open Liberty, JBang
This week's Java roundup for September 8th, 2025, features news highlighting: OpenJDK JEPs targeted for JDK 26 and new candidates; first integration of GPULlama3.java with LangChain4j; milestone releases of Spring Framework, Spring Data and Spring AI; Spring Authorization Server moving to Spring Security; the September 2025 edition of Open Liberty; and a point release of JBang.
-
Next.js 15.5 Ships - Turbopack Production Builds, Node.js Middleware, and Tighter Typescript DX
Next.js 15.5 has landed, delivering faster builds and powerful server-side middleware. Key highlights include the Turbopack bundler, which boosts compilation speed by 2x to 5x, and Node.js middleware enhancements. TypeScript improvements enhance developer experience with stable typed routes and early error detection.
-
Azure Service Groups Enter Public Preview Offering New Abstraction Layer for Resource Management
Microsoft has launched Azure Service Groups in public preview, a new feature designed to simplify resource management and administration. Acting as a flexible, tenant-level container, Service Groups allow users to organize Azure resources from anywhere within their tenant without affecting RBAC or policy inheritance.
-
OpenAI’s gpt-realtime Enables Production-Ready Voice Agents with End-to-End Speech Processing
OpenAI launched gpt-realtime and the Realtime API, enabling production-ready AI voice agents with end-to-end speech processing, lower latency, and natural speech delivery. New features include SIP phone support, image input, MCP server integration, and improved safeguards. Early adopters like Zillow and T-Mobile are testing real-time customer service and search use cases.
-
Honeycomb Hosted MCP Brings Observability Data into the IDE
Honeycomb has launched its hosted Model Context Protocol (MCP), giving developers real-time access to observability data inside IDEs and AI tools like GitHub Copilot. Available as a managed service on AWS Marketplace, it removes the need for self-hosting and streamlines debugging by surfacing traces, metrics, and logs without context-switching.
-
Impulse, Airbnb’s New Framework for Context-Aware Load Testing
Airbnb has developed Impulse, an internal load testing framework to improve microservice reliability and performance. It enables distributed, large-scale testing and lets teams run self-service, context-aware load tests integrated with CI pipelines. By simulating production-like traffic, Impulse helps engineers identify bottlenecks and errors before changes reach production.
-
Java News Roundup: OpenJDK, TornadoVM, Payara Platform, Apache Kafka, Grails, Micronaut
This week's Java roundup for September 1st, 2025, features news highlighting: JEP 517 proposed to target for JDK 26; TornadoVM releases GPULlama3.java 0.2.0; the September 2025 edition of the Payara Platform; point releases of Quarkus, Micronaut, Apache Kafka and Apache Tomcat; and second release candidates of Grails 7.0 and Gradle 9.1.
-
FerretDB Cloud: Open Source Alternative to MongoDB Atlas?
FerretDB has recently announced the availability of FerretDB Cloud, a managed MongoDB-compatible database service built on open source DocumentDB. Targeting developers seeking the first cross-cloud DocumentDB-based solution and an alternative to MongoDB Atlas, FerretDB Cloud is currently available on AWS only.
-
Google Spanner Unifies OLTP and OLAP with Columnar Engine
Google Spanner now features a columnar engine, allowing its distributed database to handle both OLTP and OLAP workloads on a single platform. This hybrid architecture eliminates the need for separate data warehouses and ETL pipelines. The engine's columnar storage and vectorized execution accelerate analytical queries up to 200x on live data, which is especially beneficial for AI applications.