#code review process
3941 related articles
·2 min
Claude Code Creator's Advice: For Big Changes, Align Before You Code
Claude Code creator Boris shares AI coding best practices: for big changes, read the repo first, confirm the plan, then code and verify immediately. Master this workflow to avoid costly rework.
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·3 min
Building an AI Agent into Your Custom CRM: How to Pick the Most Practical First Feature
When building an AI-native CRM, what should the first AI Agent feature be? This guide recommends Lead Triage & Enrichment as the best starting point, with practical architecture advice.
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·4 min
Transitioning to AI Agent Development: A Complete Three-Stage Learning Path for Programmers
Why do programmers keep failing at AI Agent development? This guide breaks down a 3-stage learning path: ReAct & Tool Calling fundamentals, LangChain engineering, and production-grade project delivery.
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·3 min
Codex Beginner's Guide: Installation, Configuration & Connecting Chinese LLM APIs
Complete guide to installing OpenAI Codex, how it differs from Claude Code, and how to connect Chinese LLMs like DeepSeek via API keys with full setup steps and limitations.
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·4 min
AI Large Language Model Learning Roadmap for Beginners: From Transformer Principles to Project Practice
A complete learning roadmap for beginners to systematically study AI large language models, covering Transformer principles, Prompt Engineering, RAG, Agent, fine-tuning, and enterprise projects.
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·3 min
AiCode Hands-On Review: A Complete Guide to the Open-Source AI Coding Tool for Android
Hands-on review of AiCode, an open-source Android AI coding tool covering API provider setup, container environments, MCP protocol, Token cost tracking, and Git management.
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·3 min
Vibe Coding in Practice: The Four Core Competency Pillars for Delivering Projects with AI Programming
Why can't you deliver projects after a year of learning AI programming? This article breaks down Vibe Coding's four core modules: paradigm cognitive reconstruction, open source adaptation, SDD, and rule constraints.
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·2 min
The Complete Guide to AI Software Factories: Rebuilding the Entire Development Workflow with Agents
A deep dive into AI Software Factory concepts and practices — from manual tickets to automated PRs, learn how to build development pipelines with AI agents.
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·3 min
Qwen 3.8 Flash Next Deep Dive: A Hybrid Architecture That Surpasses DeepSeek V4 with Half the Active Parameters
Deep analysis of Qwen 3.8 Flash Next: how its hybrid architecture surpasses DeepSeek V4 Flash with half the active parameters, its deployment value, and what it signals for Qwen 4.
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·2 min
Deep Dive into Antigravity 3.1 Pro's Logic Flaws and Fake Calculation Issues
Analyzing Antigravity 3.1 Pro's reported logic flaws and fake calculation issues, exploring why LLMs struggle with precise computation, and offering practical cross-validation strategies.
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·3 min
A 4-Year Engineering Study Plan: The Path from Zero to Landing Your First Offer
A systematic 4-year engineering study plan covering foundation building, specialization, interview prep, and job hunting to help students build an actionable technical growth path.
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·3 min
Roc 0.1.0 Preview: A Fast, Friendly, and Functional New Programming Language
Roc language nears its first numbered release 0.1.0, transitioning from experimental to usable. Explore its platform architecture, core features, and toolchain.
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·4 min
AI Risks Are Real but Manageable: A Pragmatic Guide to Addressing Artificial Intelligence Challenges
AI risks are real but manageable. This guide analyzes short-term risks, long-term risks, and governance pathways for pragmatically addressing AI challenges without blind optimism or excessive panic.
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·4 min
Data Science Job Search: How ML and SQL Projects Make Your Resume Stand Out
How can data science job seekers stand out with high-quality ML and SQL projects? Get anti-template project ideas, free dataset recommendations, and actionable methodology.
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·3 min
Coze 3.0 Workflow in Practice: Build an Automated AI Agent in Three Steps
Learn to build AI Agents on Coze 3.0 in three steps: prompt engineering & API calls, RAG knowledge base construction, and multi-agent autonomous decision-making for low-code AI app development.
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·3 min
The Turbulent AI Era Has Arrived: How to Seize Opportunities and Manage Risks Amid Technological Upheaval
Deep analysis of the turbulent AI era: accelerating tech iterations, career restructuring, regulatory lag, and global competition. How practitioners can seize opportunities and manage risks.
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·2 min
VMs Can't Contain AI Hacker Agents: The Security Isolation Myth Is Shattered
Deep analysis of why VMs can't truly isolate AI agents with cyber attack capabilities. Covers VM isolation failures, new AI security paradigms, and defense-in-depth strategies.
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·2 min
Why Is AI-Generated Code So Hard to Finish? A Developer's Deep Reflection
AI coding assistants generate code fast, but why can't developers finish AI-suggested implementations? Exploring mental models, psychological ownership, and comprehension debt.
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·3 min
PostHog Desktop Deep Dive: An AI Agent-Powered Product Collaboration Workbench
PostHog Desktop integrates product data, AI agents, and code building into a unified workbench. This deep dive covers its multi-agent collaboration, GitHub integration, and how AI-native platforms reshape product iteration.
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·4 min
Deep Dive into DeepSeek Harness: Old Patterns, New Ecosystem
A deep analysis of DeepSeek Harness Agent framework from a software engineering perspective, comparing it with Claude Code and Pi, revealing its server-side Agent positioning and TypeScript ecosystem advantages.
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