#TDD AI development
129 related articles
·4 min
Kimi Code Advanced Tutorial: Video Understanding, Swarm Mode & ACP Protocol Practical Guide
In-depth guide to Kimi Code's advanced features: video understanding, Swarm parallel mode, ACP protocol IDE integration, Goal multi-round iteration, and Skills configuration with Claude Opus comparison data.
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·3 min
AI Engineering in Practice: From Vibe Coding to Enterprise-Grade Development
Explore three AI programming modes — Vibe Coding, Plan Mode, and AI Engineering — with practical comparisons of Claude Code, Codex, and domestic LLMs, plus SDD-driven enterprise development workflows.
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·3 min
The Vibe Coding Four-Module Framework: A Complete Methodology from Fragmented Learning to Engineering Delivery
A deep dive into the Vibe Coding four-module framework: paradigm cognition, open-source customization, SDD, and project rules for real engineering delivery.
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·4 min
AI Code Output Up 10x — How Do You Keep Code Review from Collapsing?
When AI code generation outpaces human review, Code Review becomes the biggest bottleneck. Learn guardrail systems, architecture constraint tests, and TDD-driven Agent development strategies.
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·3 min
Codex + Claude Code in Practice: From Vibe Coding to Enterprise-Grade AI Engineering
A deep dive into Codex and Claude Code for real-world AI programming—from Vibe Coding prototypes to Plan mode and SuperPAL engineering, with LLM selection strategies and enterprise workflows.
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·3 min
5 Daily Claude Code Tips: Let AI Interrogate You Instead
5 daily Claude Code tips: Grill Me for requirements, Brainstorming for architecture, Writing Plan for execution, TDD for testing, and Debugging for precise fixes — a complete AI coding workflow.
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·3 min
Kimi K2.7-Code vs K2.6 Real-World Comparison: Who Wins Across Five Hardcore Challenges?
Real-world comparison of Kimi K2.7-Code vs K2.6 across five hardcore challenges: particle effects, rigid body physics, soft body physics, UI design, and code review — with quality, Token, and cost data.
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·3 min
DeepSWE Benchmark Reveals the Truth: GPT 5.5 Leads Opus 4.7 by a Wide Margin
DeepSWE long-horizon benchmark shows GPT 5.5 leads Opus 4.7 by 15+ points with 70% pass rate at one-third the cost. Deep dive into contamination-free testing and AI coding implications.
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·4 min
Superpowers: Installing Work Standards for Your AI Coding Assistant
How the Superpowers methodology constrains AI coding assistants through requirement clarification, task decomposition, TDD, and verification loops — with setup tips for Trae.
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·4 min
Claude Code Workflow in Practice: From Requirement Grilling to AFK Agent Auto-Coding
A detailed walkthrough of building real features with Claude Code: Grill Me requirement interrogation, auto-generated PRDs, AFK agent coding, and QA iteration loops with DDD and TDD strategies.
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·2 min
Claude 4.6 vs GPT-5.1 vs DeepSeek-R1: A Hands-On Comparison of Coding Capabilities
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.
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·3 min
The Complete Guide to Codex Superpowers: 14 Skills That Make AI Follow Industrial-Grade Development Workflows
A complete guide to Codex Superpowers: 14 composable skills covering brainstorming, planning, TDD, and code review, with a real-world WeChat Mini Program case study.
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·2 min
Andrew Ng on AI Agent Development: Evaluation and Error Analysis Are the Core Competitive Advantage
Andrew Ng argues that the core gap in AI Agent development isn't model selection — it's systematic evals and error analysis. A breakdown of his methodology.
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·2 min
Xiaomi MiMo Code Goes Open Source: How Cross-Session Memory Is Changing AI Programming Collaboration
Xiaomi's MiMo Code is an open-source terminal programming Agent with cross-session memory and multi-Agent collaboration. Explore its memory system, self-evolution mechanism, and how it differs from Claude Code.
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·3 min
Harness AI Engineering Programming: A Detailed Methodology for Enterprise-Level Project Development
Deep dive into Harness AI Engineering Programming methodology, covering SDD, Skill development patterns, and core practices for enterprise-level AI-assisted development.
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·3 min
Claude Code Loop Patterns in Practice: Community Insights and Best Practices
Explore Boris Cherny's Claude Code loop patterns with community insights on /loop commands, test-driven loops, multi-agent collaboration, and best practices to avoid loop divergence.
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·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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