Java & Spring Boot OpenTelemetry Setup Guide
SigNoz released a guide for instrumenting Java and Spring Boot applications with OpenTelemetry to send traces to its observability platform. The guide covers automatic instrumentation via the OpenTele…
SigNoz released a guide for instrumenting Java and Spring Boot applications with OpenTelemetry to send traces to its observability platform. The guide covers automatic instrumentation via the OpenTele…
SigNoz published a guide on instrumenting Spring Boot applications with OpenTelemetry, demonstrating how to set up a demo application, generate telemetry data, and visualize it in SigNoz. The tutorial…
Legioni, a team of AI coding agents that coordinates work and learns from every task, has been released as an open-source tool. The agents plan, implement, review, and test code, with lessons from eac…
A senior Java developer reflects on how AI-powered coding tools have replaced the deep learning once gained from Stack Overflow and manual configuration. The developer notes that while modern tools li…
A test automation engineer built Shashiworks, a free AI job search tool that ranks real listings by resume fit. The platform also includes an AI resume optimizer that scores resumes against job descri…
MLflow, the open-source MLOps platform originally created by Databricks, has evolved into MLflow 3.x to manage the lifecycle of machine learning and AI models, including LLMs and multi-agent systems. …
Broadcom announced a major set of security updates for its Spring and Java ecosystems, including the largest release of Spring security patches in the product's history and an extension of clean-room …
A Java engineer learning TypeScript built a Weather API CLI that retrieves current weather data from the Open-Meteo API using async/await and fetch. The project demonstrates modeling API response shap…
AI is not a threat to developers' skills but rather the latest in a long history of abstraction layers that have repeatedly reshaped the profession, argues a developer. Each technological leap—from as…
A developer building Python obfuscation tools for AI assistants must shift from Java's compile-time validation model to a runtime-dependent approach, as Python lacks a compilation step to catch rename…
Abhishek, a Java backend engineer at a major Canadian bank, is building a Spring Boot application with a frontend to explore AI integration. The project will be deployed, modernized, and connected to …
German developer Johannes Link added hidden instructions to his open-source testing tool jqwik that would automatically delete any code handled by AI coding agents, a move that sparked backlash after …
Mistral AI has released Codestral, a 22-billion parameter model specialized exclusively for code generation, trained on over 80 programming languages. The model features a fill-in-the-middle mechanism…
At Devoxx UK, software engineering veteran Trisha Gee warned that AI will not fix broken development pipelines but will instead accelerate their failure by exposing existing weaknesses. Gee argued tha…
AgentFlow4J v0.7.0, a Java multi-agent orchestration framework built on Spring AI, introduces a `FailureClassifier` that categorizes LLM call failures as transient, permanent, or over-budget, enabling…
A developer built a Claude Cowork DOCX plugin in Ruby, Java, and TypeScript to compare the languages for processing zip files and XML. Java handled zip and XML support best in its runtime without issu…
Gunnar Morling, a technologist at Confluent and Java Champion, discussed building high-performance Java applications in the data space, including his work on Hardwood, a zero-dependency Java parser fo…
The article describes how a lead systems engineer's team faced a critical performance bottleneck weeks before launching a server for an online treasure hunt game, caused by a poorly optimized Java-bas…
The article introduces Immuto, a new Java annotation processor designed specifically for mapping Java Records, which have been stable since Java 16. Unlike existing mappers built for mutable JavaBeans…
Mutation testing is a white-box testing method where developers intentionally introduce small bugs, or "mutants," into source code to evaluate the effectiveness of their test suite. If a test fails af…