83 related articles

A detailed guide to AI-driven automated testing: from Python basics to PyTest, covering API automation, Playwright UI testing, and AI-assisted coding for beginners.
From Prompt Engineer to Loop Architect…
Explore the paradigm shift from prompt engineering to loop architecture in AI programming. Learn about Anthropic's Routines, the six elements of mature coding loops, and token cost strategies.

Hands-on test of OpenAI Codex Computer Use: automating the full workflow from feature development, code push, DMG packaging to GitHub Release publishing, with comparison to Claude Computer Use.

Deep dive into Harness AI Engineering Programming methodology, covering SDD, Skill development patterns, and core practices for enterprise-level AI-assisted development.
Claude Code Creator Reveals: How AI Pr…
Anthropic's Claude Code creator Boris Cherny shares AI programming practices: 90% of code written by AI, 200% engineer productivity gain, new hires productive in 2 days.

Deep dive into Boris Cherny's AI agent loop patterns: loop workflow elements, loop contracts, four practical loops (PR Babysitter, CI Health, Deploy Verification, Feedback Clustering), and failure prevention strategies.

The definition of AI native is constantly shifting. This article analyzes why the bar keeps moving and offers three practical strategies to help developers build continuous adaptation capabilities.

Deep dive into Google I/O 2025's three major Android productivity announcements: Android CLI stable release, Android Skills expansion, and Android Bench model evaluations for the Agentic Development era.

In-depth guide to ByteDance's Coze AI platform: core advantages, domestic vs. international versions, agent and app development modes explained for building AI agents without code.

Explore GitHub Copilot CLI custom Agents: transform one-off terminal prompts into reusable, auditable team workflows for environment setup, CI/CD, and more.

Comprehensive GitHub FAQ for beginners covering Git vs GitHub, repository basics, branching and merging, plus practical tips to quickly get started with version control and collaboration.

PeakCode is an open-source AI coding tool combining Claude Code's engineering power with Codex's UX, featuring Web/desktop modes, plugins, Git integration, and automated Agent capabilities.

Pangu.skill is an open-source project that distills 18 top business leaders' cognitive patterns into callable AI protocols, enabling 24/7 decision analysis.

Deep dive into how API aggregation platforms use a single BaseURL to access Claude, OpenAI, Gemini and all major AI models, covering intelligent routing, fault tolerance, team collaboration, and cost management.

A deep dive into engineering methodology for enterprise e-commerce development with Claude Code and Harness AI, covering architecture, code quality, and CI/CD practices.

Cursor reveals internal data: enterprise AI-generated code surges from 15% to 75%, Agent requests grow 15x YoY, and 30% of PRs are completed entirely by Agents. Engineers are becoming Agent managers.

A detailed guide to the Claude Code and Codex collaborative workflow: Claude Code handles architecture planning and code review, while Codex handles execution. Boost dev efficiency through standardized handoffs.

Hands-on with CreateNow's controlled AI development: from requirements breakdown to modular coding. Covers model selection, breakpoint-resume, and acceptance checks.

Deep dive into Claude Code Hooks: how Pre-tool and Post-tool Hooks create system-level safety guardrails for AI programming, from sensitive file protection to automated code standards.

Deep dive into ByteDance's open-source Trae Agent—a free MIT-licensed AI coding CLI tool. Covers installation, core features, run modes, and real-world performance vs Claude Code and Gemini CLI.