#Docs as Code
352 related articles
·3 min
SlopCodeBench: Why AI Code Benchmarks Are Failing
SlopCodeBench sparks deep reflection on AI code evaluation. From benchmark contamination to pass-rate pitfalls, exploring why current benchmarks fail to measure real code quality.
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·3 min
GitHub Agentic Workflows in Practice: Automating Cross-Repository Documentation Updates
Learn how GitHub Agentic Workflows automate cross-repo documentation updates. See the Aspire team's AI-driven approach: event triggers, smart drafting, and SME review to keep docs in sync with code.
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·3 min
GLM 5.2 Hands-On: An Open-Source, Low-Cost Model That Rivals Opus
In-depth hands-on review of GLM 5.2: a 753B-parameter open-source model with a 1M-token context, rivaling Opus 4.8 at about one-tenth the price. Full setup guide for Claude Code and Cursor.
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·3 min
The Software 3.0 Era: An AI Programming Evolution Guide for Frontend Engineers
Natural language programming is reshaping frontend development. This article explains AI code generation, Prompt formulas, pitfall avoidance, RAG, Agent orchestration, and skill maintenance.
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·3 min
Vibe Coding at Big Tech: Frontend Practices and an AI Programming Interview Guide
An in-depth look at Vibe Coding (AI-assisted programming) at major tech companies. With three real AI coding interview questions from firms like ByteDance, we analyze how frontend developers can master AI programming and rebuild core competitiveness.
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·4 min
Gemini API in Practice: Building AI Agents with Files
Google's official hands-on: how to go from idea to production fast with AI Studio and build AI Agents using the now-GA Interactions API. The core idea—Agents are just combinations of files.
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·5 min
Gemini API in Practice: Building AI Agents with Files
Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.
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·4 min
AI Testing in Practice: A Complete Guide to Three Types of AI Tools and the New Paradigm of Test Development
A complete guide to the three core categories of AI tools in the testing era (personal assistants, CLI geek tools, AI IDEs), revealing the real challenges of AI test case generation and the new AI test development paradigm.
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·5 min
From Vibe Coding to AI Engineering: A Complete Guide to Enterprise-Grade Development
In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.
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·3 min
Zero-Cost QQ Group Minesweeper Bot in 6 Minutes with DeepSeek
Step-by-step guide to using DeepSeek with the OICQ framework to generate a runnable QQ group Minesweeper bot Python script in 6 minutes — zero cost, real pitfalls included.
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·7 min
Harness Engineering: Why a Powerful Model Isn't Enough — Here's What Really Matters
A data-deletion disaster reveals the biggest AI Agent risk: the problem isn't the model, it's Harness design. Learn context management, process standards, and permission isolation.
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·5 min
Inside Cursor: How Recursive Model Improvement Enables AI to Self-Evolve
A Cursor ML engineer breaks down AI training methodology: outer/inner loop acceleration, preventing reward hacking, textual feedback, and recursive self-improvement (RSI) where models train the next generation.
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·6 min
The Evolution of Claude Code: From Manual Review to 65% Fully-Automated PRs
Anthropic engineers reveal Claude Code's 18-month evolution: system prompt cut by 80%, 65% of PRs shipped automatically by AI, Claude Tag collaboration, and the safety logic behind auto mode.
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·4 min
Zero-Code AI Voice Agents with Claude Code: 5 Real-World Business Scenarios Unpacked
Build a production AI voice agent with Claude Code + Telnyx single-stack — no code needed, live phone number in 5 minutes. Covers 5 business scenarios including appointment booking, lead qualification, and support triage.
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·5 min
Advanced Claude Code in Practice: Building a Top-Tier AI Development Workflow
In-depth analysis of Claude Code customization methodology: from access, knowledge injection to tooling. Master context window management, zero-overhead Hooks, and MCP & Skills plugin primitives to build a scalable AI software engineering workflow.
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·2 min
Modern Web Guidance: Bringing Modern Web Standards to Your AI Coding Assistant
Modern Web Guidance is an agent skill & CLI tool that injects modern Web standards into AI coding assistants like Claude Code and Copilot CLI, replacing outdated polyfills with Baseline-validated solutions.
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FastMCP: The Go-To Framework for Pytho…
·2 min
FastMCP: The Go-To Framework for Python Developers Building MCP Servers and Clients
FastMCP is a Pythonic MCP framework by PrefectHQ that lets developers build MCP servers and clients with minimal code using decorators. 26,000+ GitHub stars.
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·2 min
ROS2 Beginner's Guide: A Deep Dive into the Core Middleware for Robot Development
Learn ROS2 from scratch: understand how ROS differs from traditional OS, explore ROS1 vs ROS2 differences, and master version selection principles for robot development.
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·3 min
Free Claude Opus 4.6 Access: Complete Guide to Connecting Antigravity via CLIProxyAPI
Use CLIProxyAPI to connect Antigravity's free models to Claude Code, Cline, and more. Access Claude Opus 4.6 Thinking and Gemini 3 Pro at zero cost. Full setup guide included.
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·2 min
Gemini 3.5 Pro Spotted in Google AI Studio — Is a New Flagship Model Coming?
A Reddit user spotted "Gemini 3.5 Pro" listed as unrecognized in Google AI Studio. We break down the technical signals, naming logic, and strategic implications.
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