#multi-task AI coding
68 related articles
Product Reviews·2 min
Claude Code vs Codex Hands-On Comparison: What 100 Hours of Deep Testing Reveals
100+ hours of hands-on testing comparing Claude Code and ChatGPT Codex across customization, performance, token usage, and cost with real-world benchmarks.
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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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Product Reviews·2 min
GPT 5.4 vs Opus 4.7 vs Kimi K2.6 Code: Real-World Programming Comparison
Real-world comparison of GPT 5.4, Claude Opus 4.7, and Kimi K2.6 Code across backend, frontend, cost-effectiveness, and tooling to help developers choose the best AI coding assistant.
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Tutorials·1 min
OpenAI Codex Tutorial: From Installation to Practice — Nine Core Features Explained
A detailed guide to OpenAI Codex desktop app's nine core features: multi-task parallelism, plan mode, memory system, plugin ecosystem, and more for developers and non-technical users.
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Product Reviews·1 min
Codex Remote Connection Explained: Control Your Mac to Write Code from Your Phone
OpenAI Codex desktop launches remote connection, letting users invoke Mac programming tasks via mobile ChatGPT. Full guide on setup, use cases, and architecture.
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Industry Insights·2 min
Google vs Codex vs Claude Code: A Deep Comparison of Three AI Coding CLI Approaches
Deep comparison of Google Gemini CLI, OpenAI Codex, and Claude Code — three AI coding tools taking divergent paths: platform OS, task queue command center, and UNIX toolchain.
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Tutorials·3 min
Building an AI Workstation: A Layered Tool Strategy and Physical Isolation Guide
A practical guide to building an AI workstation: physical isolation with vertical screens, pyramid tool layering (Doubao/Trae/Claude/GPT-4), and real Token cost breakdowns to maximize AI workflow efficiency on a budget.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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