#TDD
126 related articles
Product Reviews·2 min
TRAE + Seed-2.0 Hands-On Review: Three Real-World Challenges for This Free Chinese AI Coding Assistant
Hands-on testing of ByteDance's TRAE with Seed-2.0: three real-world challenges covering game dev, subtitle proofreading, and financial chart analysis validate its engineering-grade AI coding capabilities—completely free.
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Product Reviews·2 min
GLM5.1 Coding Capabilities Put to the Test: Building a Full-Stack AI Canvas App from Scratch
A hands-on test of Zhipu GLM5.1 in full-stack development — building an AI canvas app from scratch to evaluate improvements in problem understanding, debugging, and multi-agent collaboration.
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Tutorials·1 min
5 Claude Code Skills I Use Daily: Taming AI Programming with Engineering Workflows
Deep dive into Matt Pocock's 5 daily Claude Code Skills: Grill Me for requirements, PRD generation, task decomposition, TDD, and code architecture optimization.
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Industry Insights·1 min
6 Months After AI Coding: The Bottleneck Shifted from Writing Code to Supervision and Specification
After 6 months of AI coding tools, a 20-person team found bottlenecks shifted from writing code to supervision and specification. Real lessons on review overload, sycophantic agents, and why heavyweight docs are back.
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Tutorials·2 min
AI Programming Post-Mortem: 6 Engineering Rules That Determine Project Success or Failure
Post-mortem from a real Android project built with AI tools, distilling 6 engineering rules—from cross-project context to local environment loops and API contracts—that determine AI programming success.
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Tech Frontiers·2 min
CLAUDE.md Tops GitHub Trending: 4 Rules to Tame Your AI Coding Assistant
CLAUDE.md hits GitHub trending with 4 core rules for taming AI coding assistants: ask when unsure, don't over-engineer, stay on task, and give goals not steps. Master the new AI collaboration methodology.
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Tutorials·2 min
Complete Guide to Boris's Project Preparation Workflow for Claude Code
Deep dive into Claude Code creator Boris's complete dev workflow: claude.md config, verification-driven development, and parallel session management for AI programming.
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Tech Frontiers·1 min
Superpowers Open-Source Framework: A Methodology for Making AI Coding Assistants Think Before They Code
Superpowers is an open-source AI coding framework with 180K GitHub Stars that uses Spec First, TDD, and Subagent task decomposition to transform AI assistants from code generators into engineering partners.
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Tutorials·2 min
ACPX in Practice: Scaling AI Agent Deployment on Kubernetes for Automated PR Processing
How to build an automated PR processing system using ACP protocol, ACPX workflow engine, and Kubernetes. From OpenCLO's 60K+ PR challenge to enterprise-grade multi-Agent orchestration.
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Tutorials·2 min
Claude Code Installation Guide: Configuration for China-Based Users & Superpowers Plugin in Practice
Complete guide to installing Claude Code in three commands, configuring models for China-based users via manual setup or CCSWITCH, and using the Superpowers plugin with TDD to boost AI code quality.
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Deep Dives·1 min
Factory Missions Architecture Deep Dive: How a Multi-Agent System Runs Continuously for 16 Days
Deep dive into Factory Missions multi-agent architecture: how validation contracts, serial execution, and structured handoffs enable an AI coding system to run 16 days without losing context.
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Expert Opinions·2 min
A Critical Look at AI Coding: Copilot Is Not a Developer's Replacement
An in-depth look at how to properly use AI coding tools like GitHub Copilot, exploring hybrid development, prompt evolution, and the risk of eroding developer learning abilities.
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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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Expert Opinions·3 min
Claude Code Creator Shares 3 Battle-Tested Tips: Treat AI Like a Team
Claude Code creator Boris Cherny shares 3 power tips: parallel multitasking, Loop execution, and self-verification feedback loops. Transform your AI from a passive tool into a 24/7 automated dev team.
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Product Reviews·2 min
Qoder 1.0 In-Depth Review: How Good Is This AI Autonomous Coding Platform Really?
In-depth review of Alibaba's Qoder 1.0: Quest task units, Multi-Agent expert teams, Knowledge Engine, and comparison with Codex, Claude Code, and other competitors.
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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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Tech Frontiers·2 min
llm-echo 0.5a0: A Testing Powerhouse for Simulating Chain-of-Thought LLM Output
Simon Willison releases llm-echo 0.5a0 with a new thinking option to simulate LLM chain-of-thought output. Learn how this testing plugin streamlines AI development workflow automation.
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Product Reviews·4 min
Get Shit Done: Full Breakdown of the 60K-Star Claude Code Meta-Prompting & Spec-Driven Development System
Deep dive into Get Shit Done (GSD), a 62K-star GitHub project built for Claude Code. Covers meta-prompting, context engineering & spec-driven development.
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Tutorials·4 min
Gemini CLI Custom Commands Tutorial: Complete Workflow from Creation to Practice
Complete guide to Gemini CLI custom commands with a UI component generation example. Covers TOML configuration, parameter passing, TDD workflow integration, and best practices for reusable automation.
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Tutorials·4 min
Avoiding Pitfalls in Agent Skill Maintenance: A Practical Guide to Defending Against Perplexity's "Action at a Distance" and Building Evaluation Systems
Deep dive into Perplexity's "Action at a Distance" risk in Agent Skill maintenance, covering precise fixes for three failure types, the Gotcha flywheel, and a four-layer evaluation system.
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