31 related articles

In-depth analysis of a 9-phase robotics engineer self-study roadmap covering Linux, C++, ROS2, SLAM to autonomous navigation, with practical advice for self-learners.

Kimi K3 launches on Devin Desktop and CLI, surpassing GPT-5.5 on FrontierCode 1.1 with standout debugging skills. Explore its long-horizon agentic coding performance.

System prompts drive LLM apps but often lack version control and regression testing. Learn how to manage them with versioning, structured separation, testing, and code review.

From Iraqi stew to Singaporean cuisine across centuries—using software refactoring concepts to decode cultural evolution, code reuse, and incremental change.

From Iraqi stew to Singaporean cuisine: a cross-century journey explored through software refactoring metaphors, revealing universal laws of complex system evolution.

Analysis of how chip vendor C++ toolchains silently suppress compiler warnings, the risks involved, and prevention strategies including cross-validation and static analysis.

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.

In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.

How can DevOps engineers transition to MLOps? This guide explains the core differences between MLOps and DevOps, offers a phased learning path, tool recommendations (MLflow, DVC, Kubeflow), and practical project ideas.

A deep dive into the five genuinely tough challenges of production MLOps: fault-tolerant training on Spot instances, cross-team GPU scheduling, data reproducibility, model observability, and inference cost optimization.

How Base44's product team scaled from a single founding engineer to an 80-person team with Claude Code. Covers AI-assisted onboarding, code review, user evaluation, and QA automation.

What exactly is the Cloud Coding Agent Silicon Valley is hyping? This article breaks down the core concept across three axes—where it runs, who watches, where tasks start—and gives users in China practical advice on local alternatives.

Learn automation testing from scratch! This article breaks down a three-stage path: Selenium/Appium tools, Requests+PyTest API testing, performance testing and CI/CD, with real projects—build a complete skill set in 21 days.

video-use from the browser-use team lets AI coding Agents auto-edit videos via natural language. 13K+ GitHub stars, batch processing, silence removal, FFmpeg integration.

An in-depth analysis of LangGraph's core concepts: short-term and long-term storage mechanisms, its differences from LangChain, the MIT open-source license, and private deployment solutions for enterprise Agent development.

A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.

Anthropic's Claude Sonnet 5 launches on Devin Desktop and CLI, delivering frontier-level coding performance while reducing quota consumption by ~30% compared to the previous generation.

In-depth comparison of Claude Sonnet 4.6, GPT-5.1 Codex, and DeepSeek-R1 across API pricing, specs, and SWE-Bench Verified scores to help developers pick the best AI coding assistant.

Comprehensive comparison of 7 mainstream AI coding tools in 2026: Cloud Code, Cursor, Codex, OpenCode vs Trae, Tongyi Lingma, Wenxin Quick Code across features, strengths, and use cases.

Hands-on with CreateNow's controlled AI development: from requirements breakdown to modular coding. Covers model selection, breakpoint-resume, and acceptance checks.