114 related articles

Playwright's three new Test Agents—Planner, Generator, and Healer—cover the full pipeline from test design to script generation and auto-repair, integrated with VS Code, Claude Code, and more.

OpenCQRS 2.0 introduces a testing DSL that aligns with business domain language. Explore how Given-When-Then maps to CQRS/Event Sourcing and enables living documentation.

Learn how to write controllable, maintainable AI code using the Harness methodology with Claude Code. Covers SDD, Agent orchestration, and enterprise-grade AI programming practices.

A deep-dive evaluation of Addy Osmani, Matt Pocock, and Gary Tan's skill libraries, distilling a 5-step Research→Prototype→Plan→Build→Test agent dev loop and why the best skill system is always your own.
Building a Coding Agent with LLM: A De…
Simon Willison built llm-coding-agent — an open-source Claude Code-style agent — using just two prompts and TDD. Explore its tool design, bootstrapped dev process, and real-world test results.

Anthropic's Fiona Fung shares how AI tools drove an 8x increase in engineer code output, and how AI-native teams are rethinking management, quality, and collaboration.

Vibe Coding, coined by ex-Tesla AI Director Karpathy, redefines AI programming. This article breaks down the LLM + Agent + Workflow three-layer architecture.
AI Rewrites PHP Engine in Rust: Alread…
A developer used AI to build a PHP execution engine in Rust from scratch. It passes ~17% of official PHP tests and renders WordPress — revealing the real limits of AI-assisted systems programming.

Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.

Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.

Deep dive into OpenAI Codex's /goal slash command: four core mechanisms that prevent AI "fake completion," enforce stop conditions, and support task resumption. Includes full prompt structure and permission configuration for complex automation tasks.

A deep dive into the /goal command in Claude Code and Codex — covering positioning, real-world cases, and a three-element Prompt framework (Goal, Termination Condition, Constraint Rules) for stable long-running AI Agent tasks.

A comprehensive guide to software testing fundamentals covering definitions, purposes, classification by phase, technique, and method, plus core concepts like smoke testing and regression testing.

Deep dive into AI coding agent architecture: from interview-level cognition to building a Codex-like CLI agent tool, covering agents.md, Skills systems, context management, and more.

How MokerSaaS used AI tool Cosmo to auto-generate Cloudflare deployment docs, then followed the document-driven workflow to bundle, deploy, and launch.

A systematic guide to Claude Code debugging and observability, covering Token monitoring, context management, Compact compression, security, and Skills ecosystem.

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.

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.

A deep dive into the Vibe Coding four-module framework: paradigm cognition, open-source customization, SDD, and project rules for real engineering delivery.

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.