InfoQ Homepage Languages Content on InfoQ
-
/articles/spring-batch-without-broker/en/smallimage/Distributed-Spring-Batch-Without-a-Message-Broker-thumb-1792419294298.jpg)
Distributed Spring Batch Without a Message Broker
Distributed Spring Batch partitioning already needs a shared, persistent job repository. This article makes that database the whole coordination plane and drops the message broker, sizing work to the live node count, a per-job master with no standing coordinator, compare-and-set claiming that prevents double-execution, two-phase heartbeat failover, and where a broker is still the right choice.
-
/articles/spring-security-7-server-side-dpop-token-exchange/en/smallimage/spring-security-7-server-side-dpop-token-exchange-thumbnail-1791884636157.jpg)
Server-Side DPoP and Token Exchange in Spring Security 7
Spring Authorization Server now lives inside Spring Security 7 under the same Maven coordinates, so the upgrade is a version bump. This server-side guide covers enabling DPoP and RFC 8693 Token Exchange, explains why 7.1 apps can silently stop enforcing DPoP until they call .dPoP(), and shows how to combine both into narrowed, sender-constrained tokens for service-to-service and agentic calls.
-
/articles/regeneratable-ui-component-library/en/smallimage/regeneratable-ui-component-library-thumbnail-1790758478325.jpg)
From Reusable to Regeneratable: Rethinking the Shared UI Component Library
Regeneration has changed reuse economics. A model pointed at a solid design system can produce most standard UI on demand, so paying to keep a canonical component package alive is much harder to justify than it used to be. Keep the design system, tokens, guidelines and tests central. They are what actually buy you consistency.
-
/articles/ai-agents-improve-software-architecture/en/smallimage/ai-agents-improve-software-architecture-thumbnail-1790153650841.jpg)
Five Ways to Use AI Coding Agents to Improve Your Software Architecture
Modern architectures often use legacy services for specific tasks, but these services may lack accurate documentation and using them can be risky if you don't understand them well. AI coding agents can help close that knowledge gap.
-
/articles/next-dsl-author-language-model/en/smallimage/Your-Next-DSL-Author-Is-a-Language-Model-thumb-1789048983233.jpg)
Your Next DSL Author is a Language Model
In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable.
-
/articles/when-spec-driven-development-pays-off/en/smallimage/When-Spec-Driven-Development-Pays-Off-thumb-1788790605567.jpg)
When Spec-Driven Development Pays off
AI coding assistants have become a core part of software development. AI-generated code has shown productivity gains, but it's also contributing to security weaknesses and familiar bug patterns. In this article, author Nitin Garg highlights the bottleneck has moved from code generation to code verification, and how to detect & mitigate it when the AI-generated behavior diverges from the intent.
-
/articles/pqc-in-spring-boot/en/smallimage/pqc-in-spring-boot-thumbnail-1787646727709.jpg)
Post-Quantum Cryptography in Spring Boot: Four Patterns You Can Ship This Sprint
There are four patterns that bring PQC into a Spring Boot fleet: encrypting payloads between services, locking down database fields, signing documents that need to hold up for decades, and moving service tokens off RS256. Along the way, we discuss why Harvest Now, Decrypt Later is already happening, and why none of this is production-safe until KMS or Vault is in place.
-
/articles/virtual-threads-after-jdk24/en/smallimage/virtual-threads-after-jdk24-thumbnail-1785232507934.jpg)
Virtual Threads after JDK 24: What Changed for Production Java
JDK 24 removed the monitor-related carrier-thread pinning that stalled Netflix and similar teams on Java 21. What has replaced it on JDK 25 LTS is downstream-resource saturation: the bottleneck moved and now demands explicit bounding in application code. This article maps the failure modes that surface after virtual-thread adoption and gives a practical sequence backed by a public benchmark.
-
/articles/self-building-agent-langchain4j/en/smallimage/the-self-building-agent-a-langChain4j-experiment-thumb-1784637877074.jpg)
The Self-Building Agent: a LangChain4j Experiment
The article discusses an experiment where a code assistant had to design an agentic system using LangChain4j documentation. The assistant created a coding framework capable of writing, testing, and debugging code autonomously. Results showed that two architectural patterns—supervisor and workflow—offered different trade-offs between flexibility and execution speed during debugging tasks.
-
/articles/ai-speed-context-store-architecture/en/smallimage/ai-speed-context-store-architecture-thumbnail-1783673492911.jpg)
Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture
AI makes the first 80% of development feel fast, but hides architectural complexity until it's too late. To prevent system instability, engineering leaders must shift from raw throughput to systemic comprehension. By unifying spec-anchored SDD, TDD, and automated fitness functions into a repo-bound "Context Store," teams can ensure AI agents and human reviewers evolve code safely.
-
/articles/android-beat-aligned-mobile-audio-streaming/en/smallimage/android-beat-aligned-mobile-audio-streaming-thumbnail-1783408153943.jpg)
Beat-Aligned Mobile Audio Streaming with Virtual Chunks and Native Playback
In this article, I describe the challenges and the design of a React Native real-time mobile beat-aligned playback system for iOS and Android. The system combines personalization with low-latency, and seamless navigation and was the result of careful analysis and experimentation to address strict mobile and network constraints as well as meet user expectations.
-
/articles/tradeoffs-event-driven-design/en/smallimage/tradeoffs-event-driven-design-thumbnail-1782458803116.jpg)
Scaling Java-Based Real-Time Systems: the Hidden Tradeoffs of Event-Driven Design
Event-driven architecture promises scalability, but in Java-based real-time systems the tradeoffs only surface in production. Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, this article details where the design breaks down—state management, partition limits, deduplication, JVM tuning, cascading consumer failures—and the Redis-backed patterns that fixed each.