#AI-generated code defects
52 related articles
·2 min
Level Up Claude Code: Building an Enhanced Plan Mode with Grill Me
Learn how to install and use the Grill Me Skill for Claude Code, replacing AI guesswork with structured questioning to clarify requirements before generating execution plans.
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·2 min
Advanced Claude Code: 5 Skill Techniques for Building Efficient AI Workflows
5 advanced Claude Code Skill techniques — Prompt Optimizer, Deep Interview, Real Plan, Code Simplifier, and Skill Creator — to build reusable AI workflows that reduce rework and boost precision.
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Industry Insights·2 min
AI Writes Code 2x Faster, But Maintenance Costs Triple: A Guide to Breaking the Efficiency Paradox
AI coding tools double development speed but triple maintenance costs. This article analyzes quality issues, technical debt accumulation, and provides actionable strategies to balance efficiency with maintainability.
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Product Reviews·3 min
CodeRabbit Free AI Code Review Tool Hands-On: VS Code Extension Experience
Hands-on review of CodeRabbit's free AI code review tool, covering VS Code extension setup, Git branch workflow integration, security detection, and AI coding assistant collaboration.
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Deep Dives·3 min
How Multi-Agent Teams Solve AI Hallucination and Make AI Reliable
Deep analysis of how multi-agent architecture solves AI hallucination. From context rot to adversarial debate mechanisms, see how Anthropic, xAI, and Kimi reduce hallucination rates from 12% to 4.2%.
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Tutorials·3 min
Claude Code + Skills: A Practical Guide to 10x AI-Driven Test Case Generation
Learn how Claude Code combined with Skills encapsulation enables AI-driven test case generation with 10x efficiency gains, from 33 to 400+ cases through encoded expert knowledge.
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Product Reviews·2 min
AWS Kiro Deep Dive: Spec-Driven Development vs Cursor — Which One Is Right for You?
Deep analysis of AWS's new AI IDE Kiro, comparing it with Cursor. Covers spec-driven development workflow, pricing advantages, hands-on impressions, and industry shifts.
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Expert Opinions·2 min
Senior Developers Transition to AI-Assisted Programming: Real-World Lessons on Code Review and Context Management
A senior dev team shares hard-won lessons on code review, short-context strategies, AI amnesia, and quality control after fully switching to AI-assisted programming.
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Tutorials·2 min
Learning C in 2026: An Efficient Beginner's Guide Powered by AI Programming Tools
Learning C in 2026 is still essential. Learn how to efficiently study C with AI tools like GitHub Copilot and Cursor AI, covering C history, version selection (C99 recommended), and AI-assisted learning paths.
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Tutorials·2 min
Harness AI Engineering Programming: A Practical Guide to Building Enterprise-Grade Projects with Claude Code
A deep dive into the Harness AI Engineering Programming framework — how to use Claude Code with VS Code for enterprise-grade development, covering architecture, task decomposition, and quality gates.
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Expert Opinions·2 min
The Faster AI Generates Code, the Faster Your Project Dies: Trust Engineering Is the Real Bottleneck
AI programming drives code generation cost to zero, but verifying correctness is the ultimate bottleneck. GitClear data shows 10x copy-paste surge. Developers must shift from writing to verifying code.
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Deep Dives·2 min
Hermes Agent: Complete Breakdown of 87 Built-in Skills — 7-Layer Architecture & Priority Guide
Deep dive into Hermes Agent V0.13.0's 87 Built-in Skills reorganized into 7 functional layers with priority guidance. Find the 17 core Skills worth learning first.
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