Docker Model Runner enables Java developers to run AI models locally and integrate them with Spring AI applications, eliminating the need for cloud-hosted model APIs during development. The tool expos…
GitHub has released the Copilot SDK for Java, embedding the agent runtime behind Copilot CLI as a Maven dependency for any server-side Java application. Principal engineer Edward Burns detailed the SD…
A developer demonstrates how to run local large language models with Ollama and integrate them into a Spring Boot application using Spring AI, building an AI customer support assistant that keeps data…
A developer demonstrates how to build a Spring AI application using OpenAI with Spring Boot, covering project setup, configuration, and creating a REST API that sends prompts to an AI model. The tutor…
Anthropic's system-prompt release notes for Claude grew from 358 words in July 2024 to 3,235 words by July 2026, a ninefold increase that a developer says offers a playbook for production AI teams. Th…
DeepSeek introduced time-of-day pricing with peak and off-peak rates, where off-peak is 50% lower than peak but still higher than previous flat rates, effectively raising baseline prices. A developer …
A senior software engineer at BS23 in Dhaka rebuts Google's claim that Go is the ideal language for AI-assisted coding, arguing that Java's stronger type system provides better guardrails against AI-g…
A security researcher reported that an AI meeting recorder with over two million users stored meeting records in a Firestore collection without tenant isolation, allowing him to query 181,874 records …
Matteo Rossi describes a cost-metering layer for multi-agent LLM systems that captures token usage and attribution context at each call site and writes cost documents to MongoDB, using versioned rate …
Rifat Cakir released spring-ai-test-tools, a VCR-style library that records real Spring AI interactions and replays them deterministically in tests, eliminating slow, flaky, and costly live model call…
Microsoft and GitHub released the GitHub Copilot SDK for Java, version 1.0.7-preview.1, a framework-agnostic client library that lets enterprise Java developers drive AI from idiomatic Java code using…
A developer building a production AI agent in Spring Boot found that a system prompt change based on intuition lost in a pairwise A/B test against the old prompt, despite appearing better in manual ch…
Java is a strong choice for AI development in enterprise settings, offering mature frameworks like Spring Boot and Spring AI to integrate AI capabilities into existing systems. The tutorial demonstrat…
Neo4j released AgentMemory for .NET, bringing graph-native short-term, long-term, and reasoning memory to Microsoft Agent Framework and Semantic Kernel developers, and published recordings from its Gr…
Spring AI offers controls for output token generation and chat memory to manage LLM costs, as detailed in a developer's blog post. The post highlights that output tokens cost several times more than i…
Embabel, a framework for building AI agents on Java and Kotlin, reached its 1.0 general-availability release, co-created by Rod Johnson, the creator of the Spring Framework. The framework uses Goal-Or…
Embabel released version 1.0 of its JVM agent framework for Java and Kotlin developers, reaching general availability in 2026. The framework, built on Spring AI, models agents as typed domain objects …
Spring AI, a framework from the Spring ecosystem, provides Spring-friendly abstractions for integrating AI capabilities such as chat models, embeddings, vector stores, and RAG into Java applications. …
Spring AI's token usage observability, built on Micrometer, lets developers measure cost per feature before optimizing model selection or ChatClient defaults. The first of a four-part series on LLM co…
Spring AI 2.0, which reached GA on 12 June 2026, introduces new controls to reduce LLM costs. A developer outlines ten cost drivers, from limiting response length to structuring prompts for provider c…