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Deep dive into Loop Engineering: core mechanisms, three major pain points (reliability, cost, context bloat), and Harness workflow solutions including mixed model strategies and Human in the Loop.

A complete guide to OpenAI Codex covering installation, CLI interaction, agents.md design, Rules governance, MCP protocol integration, and multi-agent collaboration, with a hands-on RAG customer service project.

Deep dive into how GitHub's trending project Ponytail uses YAGNI principles, NCP protocol, and declarative scheduling to constrain AI coding assistants, cutting 90% of redundant code.

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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.

Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.

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Tsinghua and Zhipu AI release a full-stack web dev benchmark with three difficulty levels. Top models like Gemini 2.5 Pro see scores plummet from 63 to 11.7 on full-stack tasks, exposing AI's real limits.

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