Spring
TrialLanguages & Frameworks
A widely used Java application framework targeted in the migration benchmark.
Why it's here
Placed in Trial: 5 article(s) of evidence from 3 source(s), led by security coverage, with 3 in the last 30 days. Confidence 57%.
Evidence (5)
- 5InfoQ·8/3/2026framework_updateEmbabel Agent Framework Reaches 1.0
Embabel has released version 1.0 of its Java-based agent framework. Built on Spring AI, it lets Java and Kotlin developers define agents as typed domain objects and combine model-driven planning with predefined state machines for workflow control.
- 7The New Stack·7/28/2026securityAI is reshaping open source security and maintainer support
Frontier AI models are increasing the volume of security findings in open source software, creating a backlog that maintainers and enterprises must triage and fix faster. The article argues that first-party support from project maintainers is becoming a more important part of enterprise risk management because AI has made vulnerability discovery far faster than traditional workflows.
- 5InfoQ·7/27/2026framework_updateClean Architecture for Portable Serverless Apps
Elena van Engelen explains how to reduce serverless vendor lock-in while keeping native cloud capabilities. She demonstrates structuring FaaS applications with Clean Architecture, Spring Cloud Function, and Gradle modules, then shows Kotlin services deployed across AWS and Azure using Terraform CDK.
- 7Hugging Face Blog·6/30/2026researchScarfBench Benchmarks AI Agents for Java Framework Migration
Hugging Face Blog introduces ScarfBench, an open benchmark for evaluating AI agents on enterprise Java framework migration across Spring, Jakarta EE, and Quarkus. The benchmark measures whether migrated applications can build, deploy, and preserve behavior, and reports that current frontier agents still achieve less than 10% behavioral success.
- 7The New Stack·6/24/2026securityChainguard launches remediated Java libraries for unpatched CVEs
Chainguard has generally released Chainguard Libraries for Java, a drop-in replacement approach that backports security fixes for critical and high-severity CVEs. The initial coverage focuses on Spring Boot, Spring Framework, Spring Security, and h2database, aiming to help teams stay on older versions while reducing vulnerability and audit friction.