[KongchangAI]

#Coding Agent

9 related articles

LangChain4j in Practice: Pitfalls of Writing Frontend with an AI Coding Agent
·4 min

LangChain4j in Practice: Pitfalls of Writing Frontend with an AI Coding Agent

A hands-on record of using an AI Coding Agent to build a frontend after completing a LangChain4j backend: the full workflow of generating UI with Claude Code + MiniMax, the five-element prompt structure, and the debugging process for a chain of bugs including session ID type mismatches and data not rendering, plus lessons from retrying with Cursor.

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OpenRouter Free Models Tutorial: Accessing 28 Free AI Models & Deep Dive into the AI Market Landscape
Tutorials
·3 min

OpenRouter Free Models Tutorial: Accessing 28 Free AI Models & Deep Dive into the AI Market Landscape

Guide to OpenRouter's 28 free AI models with API setup, covering GPT-OSS 120B, DeepSeek V4 Flash, and leaderboard insights into the AI model market landscape.

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Qoder's Context Engineering in Practice: Four-Layer Retrieval Engine and Memory System Architecture
Industry Insights
·4 min

Qoder's Context Engineering in Practice: Four-Layer Retrieval Engine and Memory System Architecture

Deep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.

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SQLite Releases AGENTS.md: Explicitly Rejecting AI-Generated Code and Opening a Dedicated Bug Forum
Industry Insights
·2 min

SQLite Releases AGENTS.md: Explicitly Rejecting AI-Generated Code and Opening a Dedicated Bug Forum

SQLite adds AGENTS.md explicitly rejecting AI-generated code and opens a dedicated Bug forum to handle the flood of AI bug reports. A look at its AI governance strategy.

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Codex vs Claude Code: An In-Depth Comparison of Two Leading Coding Agents
Product Reviews
·2 min

Codex vs Claude Code: An In-Depth Comparison of Two Leading Coding Agents

In-depth comparison of OpenAI Codex and Claude Code across work modes, extension mechanisms, and security strategies to help you choose the right AI coding agent for your team.

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Superpowers: Deconstructing the Quality Assurance Architecture for AI Coding Agents — An Open-Source Project with Nearly 200K Stars
Tutorials
·2 min

Superpowers: Deconstructing the Quality Assurance Architecture for AI Coding Agents — An Open-Source Project with Nearly 200K Stars

Deep dive into Superpowers, a ~200K Star GitHub project that uses 5 phases and 14 Scale modules to systematically improve AI Coding Agent code quality.

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