451 related articles

A deep dive into a real-time 3D human mesh reconstruction project using a single RGB camera, built with Rust, Candle, and CUDA, achieving 55ms/frame on an RTX 5080.

A beginner's guide to prompt engineering covering the four functions of prompts, the key differences from prompt engineering, a six-step systematic workflow, and critical technical and practical limitations.

Users report Grok 4.5 underperforms in Cursor vs. the official terminal. We analyze how system prompts, context management, parameters, and tool calling create AI coding tool integration gaps.

Carta is a Rust reimplementation of Pandoc with a 9MB binary (1/20th of Pandoc) and up to 45x faster conversion. Supports Markdown, DOCX, LaTeX, and Pandoc JSON filters.

A deep engineering analysis of Agent internals: how LLMs decompose tasks via tool calling, why context compression and memory are essential, and why solo developers should avoid heavy frameworks.

Generative AI is profoundly redefining the personal computer — from passive tool to intelligent collaborator. This article examines the core shifts of the AI PC era and the productivity gap created by cognitive lag.

Analysis of why Gemini and other AI LLMs exhibit capability drift, including tool-calling mechanisms, context window limits, and safety policy triggers, plus practical strategies for PDF generation failures.

Carta is a Rust reimplementation of Pandoc that produces a 9MB binary (1/20th of Pandoc) and achieves up to 45x faster conversion speeds for Markdown, DOCX, LaTeX, and more.

Deep dive into the five evolution stages of AI Agent architecture: model calls, tool calls, workflows, Agent loops, and production runtime. Learn the responsibility boundaries and design principles.

A senior Java developer shares 7 years of IntelliJ IDEA configuration tips: JVM tuning, AI-assisted coding, Testcontainers testing, debugging tricks, and Spring toolchain setup.

Deep breakdown of 4 core AI Agent engineer competencies: business decomposition, multi-Agent architecture, quantitative evaluation, and engineering delivery—bridging the gap from Demo to production.

Complete guide to DeepSeek-OCR from vLLM inference deployment and Unsloth model loading to fine-tuning, covering cloud server setup, GPU selection, and code examples — all on a single 4090 GPU.

Generative AI is profoundly redefining personal computers — from passive tools to intelligent collaborators, from deterministic computation to probabilistic reasoning. Explore the core shifts of the AI PC era.

API Mock is fast but misses bugs; Sandbox is realistic but costly. This article analyzes their core differences and provides a layered testing strategy for building reliable Agent test systems.

Learn how GitHub Agentic Workflows automate cross-repo documentation updates. See the Aspire team's AI-driven approach: event triggers, smart drafting, and SME review to keep docs in sync with code.

An in-depth look at AI testing challenges. Learn to write reusable Skill packs and master Agent testing and LLM evaluation—covering the SKILL.md six-dimensional rule, skill-creator, EvalScope, and dataset selection.

Cursor's swarm experiment had AI teams implement a SQLite engine in Rust from scratch using only 835 pages of docs. All-frontier models cost $10K+, hybrid role division just $1.3K—a 7.9x gap.

Coze is ByteDance's homegrown agent-building platform. This article covers getting started with Coze, its comparison with Dify, skill system, workflow orchestration, and multi-agent collaboration.

Coze is ByteDance's homegrown agent-building platform. This article explains getting started with Coze, comparison with Dify, its skill system, workflow orchestration, and multi-agent collaboration.

A detailed guide on building a full-process HR recruitment Workflow Agent with Spring AI Alibaba Graph, covering resume parsing, multi-dimensional screening, tiered questions, human-in-the-loop, and state rollback.