#AI programming conventions
545 related articles
Tutorials·3 min
TONGYI Lingma + EasyClick Configuration Tutorial: A Practical Guide to AI-Powered Automated Programming
Complete guide to configuring TONGYI Lingma with EasyClick (EC): plugin installation, RAG document deployment, agent import, and slash commands for AI-powered automated programming.
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Expert Opinions·3 min
Vibe Coding Crashes and Burns After Seven Months: 234 Commits Archived, Rewriting Everything from Scratch
A developer Vibe Coded with AI for 7 months, made 234 commits and 1,690 lines of code, then the project collapsed. Five hard lessons reveal AI's true limits: it builds features, not architecture.
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Tutorials·3 min
51.8K Stars! Claude Code Best Practices: A Complete Guide from Getting Started to Agent Engineering
Deep dive into the 51.8K Star Claude Code best practices project on GitHub, covering Prompt Engineering, efficient Web Coding, multi-Agent collaboration, and more.
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Expert Opinions·4 min
Rejecting Vibe Coding: Matt Pocock's Engineering-Driven Approach to AI Programming
TypeScript expert Matt Pocock's open-source Skills repo earned 80K+ GitHub Stars, using TDD and Domain-Driven Design to solve AI programming's three biggest pain points.
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Product Reviews·3 min
GPT 5.5 vs DeepSeek V4 Hands-On Comparison: Who Wins at Logic, Frontend Generation, and 3D Scenes?
Hands-on comparison of GPT 5.5 vs DeepSeek V4 across logic reasoning, frontend generation, and 3D scenes. Covers speed, code quality, visuals, and cost-effectiveness to help you choose the best AI coding model.
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Tutorials·3 min
Codex Desktop Pet in Practice: Building a Talking AI Sprite from Scratch
How to build a personalized AI desktop pet with OpenAI Codex and TTS voice cloning — covering character design, voice cloning, interaction development, and practical troubleshooting.
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Expert Opinions·4 min
Interview with a Core Developer of Microsoft's Agent Framework: A Complete Analysis of Architecture Design and Evolution
In-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
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Deep Dives·4 min
Harness Engineering Explained: The Third-Generation Development Paradigm for Taming AI Agents
Deep dive into Harness Engineering: the third-gen AI development paradigm. Learn its three-layer architecture for effectively harnessing AI Agents to complete complex development tasks.
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Tech Frontiers·2 min
SWE-bench Opens Evaluation Environments and Training Recipes: Dramatically Lowering the Barrier to AI Coding Agent Development
SWE-bench opens evaluation environments, task sets, trajectories, and training recipes, dramatically lowering the barrier to AI coding agent development.
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Tech Frontiers·2 min
Qwen Continues to Lead on SWE-bench: The Rise of Open-Source AI Coding Models
Qwen team leads open-source models on SWE-bench, demonstrating strong software engineering capabilities. This article analyzes SWE-bench standards, Qwen's progress, and the value of open-source AI coding tools.
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Expert Opinions·3 min
Zig Language Bans AI Code Contributions: A Deep Debate on Open Source Principles
Zig founder Andrew Kelley rejects LLM-assisted PRs, introducing the concept of AI code's "digital smell." A deep analysis of the open source philosophy, code quality, and trust issues behind Zig's ban on AI contributions.
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Tutorials·3 min
Claude Code Domestic Alternative: Low-Cost Deployment and Six Core Architecture Components Explained
Detailed guide on deploying Claude Code domestic alternatives via compatible API interfaces. Deep dive into six core systems: built-in tools, hierarchical memory, multi-Agent collaboration, and more.
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Expert Opinions·2 min
AI Coding Tools ≠ Development Transformation: How Engineering Teams Can Truly Restructure the Software Development Lifecycle
Adopting AI coding tools isn't the same as transforming how you build. Learn how engineering teams can restructure their SDLC around AI for true competitive advantage.
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Product Reviews·3 min
AGENTS.md Coding Rules Put to the Test: Code Quality Unchanged, Development Efficiency Significantly Improved
A developer tested AGENTS.md coding rules across 40 PRs on three AI coding Agents. Results: code quality unchanged, but fewer tool calls, faster completion, and lower costs.
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Expert Opinions·3 min
The Faster AI Writes Code, the Deeper the Maintenance Cost Trap
AI coding tools may double output speed, but maintenance costs could quadruple. James Shore reveals the technical debt trap behind AI assistants and the math every team must understand.
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Product Reviews·3 min
Team Memory MCP: A Deep Dive into the Shared Memory System for AI Coding Agents
Deep dive into team-memory-mcp, an open-source shared memory system for AI coding agents like Claude Code and Cursor, featuring Bayesian confidence scoring and temporal decay via MCP protocol.
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Tutorials·3 min
Dotfiles Configuration in Practice: An AI Programming Tool Integration Refined Over 5,000+ Commits
An in-depth look at a dotfiles configuration refined over 5,000+ commits, covering Neovim, tmux, Claude Code, Copilot, and XMonad keyboard-driven workflows.
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Tutorials·3 min
Context Engineering: The Practical Method Replacing Vibe Coding to Double Your AI Programming Efficiency
Context Engineering is replacing Vibe Coding as the dominant AI programming methodology. Learn how to build high-quality context for AI coding assistants like Claude Code, with practical steps and open-source project insights.
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Product Reviews·3 min
Agnix: The First Linter for AI Coding Assistant Configuration Files, with LSP Real-Time Validation
Agnix is the first Linter and LSP tool for AI coding assistant config files like CLAUDE.md and AGENTS.md. Built in Rust, it offers real-time validation, auto-fix, and IDE integration.
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Product Reviews·2 min
One Prompt File to Make AI Write Truly Elegant Code
GitHub project yegor256/prompt uses a CLAUDE.md system instruction file to teach AI coding assistants to follow coding standards and generate high-quality, elegant code.
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