1192 related articles

Java developers can build AI apps too! Learn LangChain4j fundamentals including RAG, Agents, Function Calling, and hands-on projects — no Python required.

LangChain4j is the AI application development framework built for Java engineers. Integrate DeepSeek, Qwen, and more into Spring Boot — no Python required.

A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.
TutorialsDeep analysis of interview trends for Java developers transitioning to AI engineers, covering LLM integration, RAG, Spring AI framework practice, with a complete learning roadmap.
TutorialsA detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
TutorialsDeep dive into Spring AI Agent Utils toolkit covering Skill modules, Ask a User Question, To Do Write, Auto Memory, and multi-Agent orchestration — empowering Java developers to build powerful AI Agents.
TutorialsA comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.

Agent DevTools is an open-source AI Agent debugging tool inspired by Browser DevTools, offering execution visualization, tool call tracing, and breakpoint analysis to help developers diagnose Agent failures.

From HTML readability to code reuse dilemmas and framework lock-in risks, a systematic analysis of Tailwind CSS controversies to help developers make informed technology choices.

Deep dive into often-overlooked sorting variants: Semisort, Stable Partition, and K-th smallest selection. Learn how relaxing constraints enables performance breakthroughs.

Flycast WASM JIT v1 achieves full-speed Dreamcast emulation in browsers by generating complete WebAssembly modules at runtime, bypassing WASM's architectural limitations and boosting from 2FPS to full frame rate.

A deep dive into Abstract Data Types (ADT) and how separating interface from implementation manages software complexity and improves maintainability—a timeless design principle every engineer should master early.

A detailed guide on building a GitHub code review bot from scratch, covering cloud deployment, secure sandboxes, Vercel AI SDK, and multi-agent collaboration for automated development workflows.

Deep dive into the trending GitHub project k-skill — an open-source skill library designed for Korean AI Agents with 6,600+ Stars and insights for localized Agent development.

Voice-Pro is a trending open-source AI voice tool on GitHub integrating Edge-TTS, F5-TTS, CosyVoice zero-shot voice cloning, Whisper speech recognition, and more via a Gradio interface for TTS, cross-language dubbing workflows.

Invidious is an open-source YouTube alternative frontend offering ad-free, tracking-free private browsing. Supports self-hosting, built with Crystal, 21K+ GitHub Stars.

Explore why general AI agents are essentially coding agents. From Turing completeness to composability and verifiability, discover the paradigm shift from Function Calling to Code as Action.

A detailed guide to self-hosted search engine solutions including SearXNG metasearch engine deployment, plus alternatives like Whoogle, LibreY, and 4get for privacy-preserving search.

GitHub trending Aug 1: ByteDance's deer-flow SuperAgent, Microsoft's GenAI course, 3D generation, voice cloning, and privacy-first tools shape the AI landscape.

The Go team proposes new generic collection types under container/, including Set, ordered Map, queues, and more. A deep dive into the proposal and its design trade-offs.