#TDD AI programming
105 related articles
·3 min
Reading Code Is More Important Than Writing It in the AI Era: 6 Practical Tips to Improve Your Code Reading Skills
In the age of AI-generated code, reading code is a critical skill. Learn 6 practical techniques—from entry point reading to tracing data flows—using a login endpoint example.
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·3 min
8 AI Coding Tools Compared: A 5-Tier Buying Guide
In-depth comparison of 8 mainstream AI coding tools including GitHub Copilot, Cursor, Windsurf, and Claude Code, ranked into 5 tiers with tips to avoid bad plugins.
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·3 min
OpenAI Codex Deep Dive: Core Capabilities and Engineering Best Practices Guide
Deep dive into OpenAI Codex's core capabilities including multi-task parallelism, Agent Loop mechanism, and Specification-Driven Development (SDD), with learning resources and advanced paths for mastering AI programming workflows.
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Deep Dive into the Three AI Programmin…
·3 min
Deep Dive into the Three AI Programming Frameworks: The Right Way to Do Specification-Driven Development
Deep dive into the three frameworks of Specification-Driven Development (SDD) for AI programming: Blueprint, Execution Flow, and Change Records — solving the problem of AI code going off the rails.
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·3 min
Claude Code + Codex: The Best Practice of One-Writes-One-Reviews AI Programming
A detailed guide on using Claude Code for writing and Codex for reviewing in AI programming. Includes a five-step closed-loop workflow and cross-validation techniques.
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Tutorials·2 min
Claude Code Beginner's Guide: A Complete Workflow from Setup to Project Delivery
A detailed guide to Claude Code's core curriculum: environment setup, multi-file project management, testing standards, AI architecture review & security auditing.
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Tutorials·3 min
Matt Pocock's AI Coding Workflow: A Complete Methodology from Ideation to Delivery
Deep dive into Matt Pocock's AI-assisted coding workflow: Grill Me consensus building, PRD generation, Tracer Bullet vertical slicing, AFK execution, and Deep Modules architecture design.
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Tutorials·2 min
OpenSpec in Practice: Write Specs Before AI Codes, Boost Efficiency by 70%
OpenSpec is a lightweight CLI tool that generates spec documents before AI writes code using a Propose→Continue→Apply→Archive workflow. DeltaSpec reduces output by 70%, supports 30+ AI coding tools.
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Deep Dives·3 min
Deep Dive into How Claude Code Works: A New Programming Paradigm Driven by the Agent Loop
Deep dive into how Claude Code works, including the Agentic Loop, automatic context compaction, tool calling, and permission modes that power autonomous AI programming.
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Tutorials·2 min
The Five-Step Rhythm Method for AI Programming: A Practical Strategy Where Slow Is Fast
A methodology for rhythm control in AI programming: use a five-step strategy (identify, plan, minimal change, test, risk assessment) to prevent AI from going off-track and causing rework.
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Tutorials·3 min
SDD (Specification-Driven Development) in Practice: AI Programming Methodology from Cursor to Claude Code
Deep dive into SDD (Specification-Driven Development) methodology covering Cursor and Claude Code in practice—from intelligent data querying to enterprise compliance platforms across four progressive projects.
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Tutorials·3 min
AI Programming in Practice: Great Skills Don't Need to Be Handwritten — Let Them Emerge from Real-World Experience
Learn how to let AI automatically distill reusable Skill prompts through a K8S cluster setup case. From task execution to problem discovery and iterative fixes, master the right methodology for knowledge management in the AI era.
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Tutorials·3 min
AI Programming in Practice: Great Skills Don't Need to Be Handwritten — Let Them Emerge from Real-World Experience
Learn how to let AI automatically distill reusable Skill prompts through a K8S cluster setup case. From task execution to problem discovery and iterative fixes, master the right methodology for knowledge management in the AI era.
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Tutorials·2 min
Superpowers: The Must-Have Codex Plugin That Makes AI Ask Questions to Clarify Your Requirements
Superpowers is a must-have plugin for Codex and Claude Code that uses AI reverse questioning to help developers clarify vague requirements, lower prompt writing barriers, and reduce code rework.
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Tutorials·3 min
Auto-Generating CRUD Code with Claude Code: A Practical Guide to Writing Skill Files
Learn how to auto-generate high-quality CRUD code using Claude Code with MCP and Skill files. Covers MySQL MCP setup, Skill file writing, TDD patterns, and pagination optimization.
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Tutorials·3 min
7 Official Best Practices for Claude Code Recommended by Anthropic
Anthropic's official Claude Code best practices: 7 core tips covering self-review, plan mode, precise instructions, CLAUDE.md, reverse interviews, session cleanup, and multi-session parallelism.
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Tutorials·3 min
AI Programming Spec Sheets: 30 Lines of Configuration Saves Five Rounds of Rework
Replace vague prompts with spec sheets—30 lines of config gets AI coding right the first time. Covers the six-element framework, three-tier boundaries, and three iron rules to eliminate rework.
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Product Reviews·3 min
Superpowers vs GStack In-Depth Comparison: How to Choose Your Claude Code Plugin
In-depth comparison of Claude Code's top open-source plugins Superpowers and GStack — their skills, workflows, and use cases to help developers choose the best AI coding assistant setup.
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Product Reviews·3 min
Zenflow Hands-On Review: Spec-Driven AI Coding vs. Pure Prompt-Based Development
In-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
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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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