278 related articles

A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.

A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.

As AI coding assistants like Codex become standard, the risks of overreliance grow too. Learn when developers should "show a red card," reclaim control, and safeguard code quality and responsibility.

Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.

OpenAI launches GPT-5.6 with three tiered models—Sol, Terra, and Luna—Ultra multi-agent parallel collaboration, Codex integrated into ChatGPT desktop, and an upgraded Computer Use.
zapret: A Deep Dive into the 30K-Star …
A deep dive into zapret-discord-youtube, the 30K+ star GitHub DPI bypass tool. Learn how packet fragmentation, TTL manipulation, and SNI evasion restore access to Discord and YouTube — and what risks to consider.

Cosine AI founder reveals how the UK's first sovereign LLM is being built — from government compute grants and RL credit attribution to multi-agent orchestration and synthetic data pipelines.
ui-skills: An AI Skills Library Built …
ui-skills is an open-source AI Skills library for design engineers that helps AI generate higher-quality UI code. It quickly gained thousands of GitHub Stars.
Fuse: An Open-Source MCP Tool Built to…
Fuse is an open-source MCP/CLI tool that improves Claude Code's performance on large C# codebases using Roslyn-powered semantic queries to reduce token usage.
Cursor Zero-Day Vulnerability Exposed:…
A deep dive into the Cursor AI editor zero-day vulnerability: why the researcher chose full disclosure, AI coding tool security risks, and how developers can protect themselves.
The Age of AI Agents: Why the Open Sou…
AI agents consume open source software at massive scale without contributing back, creating a sustainability crisis. Explore the hidden costs, maintenance imbalance, and security risks behind the "zero-cost" myth.

How to configure Cursor, Codex, Devin, and other AI coding agents for context management, code quality, and cross-tool collaboration. Practical tips on rule files, TDD, and structured context storage.

Spring AI is Java's answer to LangChain — offering unified multi-model APIs, structured output, RAG, Tool Calling, and MCP protocol support for enterprise LLM development.

LeakCanary is now natively integrated into Android Studio Profiler — with one-click dependency injection and desktop-side Shark heap analysis to pinpoint memory leaks fast.

When AI coding assistants have full filesystem access, are your API keys and cloud credentials safe? Deep dive into secret leakage risks and practical defenses.
Cross-Platform MicroVM Sandbox: Runnin…
Explore cross-platform MicroVM sandbox technology supporting Windows/Mac/Linux with a built-in policy engine for fine-grained access control in AI Agent and multi-tenant code execution scenarios.
How a Single Word in a Prompt Can Shap…
How does a single word in a prompt affect LLM output? This deep dive explains autoregressive generation, probability shifts, and practical tips for neutral prompting.
There's No Best Agent Framework — Only…
LangGraph, PydanticAI, OpenAI Agents SDK, CrewAI — a senior developer's practical guide to choosing the right AI Agent framework for your project.
Clawk: Creating Disposable Linux Sandb…
Clawk offers a core solution to AI coding assistant security risks: disposable Linux VMs that isolate SSH keys, API tokens, and sensitive data from agents like Claude Code and Cursor.

A comprehensive guide to LangChain 1.3 — covering the full learning path from Models to Agent development, including Harness architecture, LangGraph, memory management, HITL, and Guardrails.