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Deep dive into how JustInterview.ai uses AI interviews, coding tests, and Vibe Coding challenges to cover the full recruitment pipeline from JD to offer, enabling 20x faster hiring.

Build an enterprise RAG knowledge base Q&A system using Spring AI 2.0, Cursor AI programming, Ollama local deployment, and Redis vector storage. Runs on just 4GB VRAM.

Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, Tools parsing moving up, a built-in Agentic mechanism, MCP switching to Streamable HTTP, and an on-demand tool Advisor.

Spring AI 2.0 brings five core updates: mandatory Spring Boot 4 upgrade, Tools parsing moved up, built-in Agentic mechanism, MCP switch to Streamable HTTP, and on-demand tool-loading Advisor.

Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, lifted Tools parsing, built-in Agentic mechanism, MCP switch to Streamable HTTP, and an on-demand tool-loading Advisor.

Spring AI 1.0 is here — Java developers can now build AI apps without switching to Python. This guide covers LLM integration, RAG, intelligent customer service, and Agent patterns for enterprise deployment.

Real freelance case study: how to use DeepSeek and LLMs to reverse-engineer SM2/SM4 encrypted API parameters in 30 minutes, covering anti-debug bypass, call stack backtrace, and AI-assisted deobfuscation.

Leaked financials show OpenAI's -122% operating margin — losing money on every sale. MIT research reveals 95% of enterprise AI investments yield zero returns. A deep dive into the AI cost paradox.

HF Viewer is a free interactive tool for visualizing 2,300+ open-source AI model architectures. Explore Transformers and more via graph nodes, animations, and paper links.
Sx 2.0: Sharing AI Skills via Dropbox …
Sx 2.0 distributes team AI skills via shared Dropbox folders — no servers, zero deployment cost. A deep dive into its design philosophy, technical trade-offs, and the future of AI skill asset management.

A deep dive into Spring AI 2.0: provider-agnostic APIs, RAG with vector databases, and how Java developers can build LLM apps using the Spring ecosystem.

Are layoffs the new normal? Is a $50K raise worth leaving a stable job for? This article breaks down the real costs and benefits across salary math, stability value, and personal decision frameworks.

Many people learn tons of fragmented content yet remain confused. This article maps out the complete AI Agent knowledge landscape—from LLM and prompt basics, tool calling, and RAG to LangChain and multi-agent collaboration—with a clear learning order.

What is prompt engineering? This guide covers prompts, their four key functions, the 6-step engineering process, business value, and technical limitations for a complete foundation.

Developer Simon Willison used Claude to ship sqlite-utils 4.0: 37 prompts, 34 commits, $149 API cost — revealing coding agents' real capabilities, cross-model review, and agentic engineering best practices.

A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.

In-depth review of the Youdao AI Tutoring Pen Space X: analyzing core features, pricing value, and buying advice for this 1,399 RMB smart learning device covering English, STEM, and all subjects from elementary to high school.

SWE-Smith Multilingual extends synthetic bug generation to JavaScript, validating 6,099 patches across 74 repos. Covers 14 modifiers, high-yield repo traits, and Modal cloud pipeline architecture.

The EHT team used OpenAI Codex to speed up black hole plasma simulation algorithms by 1000x, from ten days to minutes. Learn how Codex is enabling the first-ever black hole video.

Datasette Agent 0.2a0 introduces an ask_user() mechanism enabling AI agents to pause during tool execution and ask users questions, with three interaction modes and a save_query tool for human approval.