#OpenAPI
94 related articles
·2 min
AI Skills in Practice: How Test Engineers Can Automate API Testing and Generate Test Cases at Scale
Learn how AI Skills are transforming software testing. This guide covers Skill architecture, learning paths, and real-world applications in API automation and WebApp testing.
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BAML: A Type-Safe Programming Language…
·2 min
BAML: A Type-Safe Programming Language Designed for AI Agents
BAML is a domain-specific language for AI Agent development that uses a type system to solve unreliable LLM structured output and unmaintainable prompts.
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·3 min
Claude Code Enterprise Guide: Environment Setup, Git Workflows, and Switching to Chinese AI Models
Enterprise guide to Claude Code: CLI setup, switching to DeepSeek and other Chinese AI models, Git workflow automation, and bug fix loops to boost team productivity.
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·3 min
Introducing LLM Gateways in Production: Five Key Concerns and the Prerequisites for Trust
Introducing an LLM Gateway in LangChain production brings unified APIs and auto-fallback, but also quality drift, cost spikes, and debug black boxes. This article breaks down the five key engineering concerns and what it takes to earn trust.
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·2 min
Hombre: An Open-Source Visual Dashboard for Honcho AI Memory Server
Hombre is an open-source web GUI for self-hosted Honcho AI memory servers. Features workspace management, semantic search, real-time sync, and RBAC — built with FastAPI and native frontend, MIT licensed, Docker-ready.
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The Hidden Costs of AI Coding Tools: A…
·2 min
The Hidden Costs of AI Coding Tools: A Deep Dive into Claude Code's 33k Token Overhead
Claude Code consumes up to 33,000 tokens per request before reading your prompt, vs. 7,000 for OpenCode. We break down why this 5x gap matters for cost, latency, and context windows.
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·4 min
OpenAI Plugins Deep Dive: The Plugin System That Connects ChatGPT to the Real World
A deep dive into OpenAI Plugins: how the system works, its technical architecture, and why it matters. Learn how ChatGPT uses plugins to access real-time data, take real-world actions, and lay the groundwork for AI Agents and Tool Use.
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·4 min
A Deep Dive into ASP.NET Core: The Complete Guide to Microsoft's Cross-Platform Web Framework
A comprehensive analysis of ASP.NET Core's architecture and technical strengths: cross-platform deployment, high-performance Kestrel server, modular middleware, built-in DI, and modern web capabilities like Blazor, gRPC, and SignalR.
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·3 min
Multiple AI Agents Sharing a Codebase: Parallel Collaboration Conflicts and Practical Solutions
When multiple AI coding agents work on the same codebase simultaneously, how do you avoid interface conflicts and coordination chaos? A deep dive into Git worktree isolation, contract-first design, and intent declaration.
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·3 min
Multi-Agent Collaboration with Claude Code and Codex: A Guide to Architecture Design and State Management
A deep dive into Claude Code and Codex multi-Agent collaboration: architecture design, state-driven coordination, private/public zone division, and building efficient AI programming teams.
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·3 min
Google Open-Sources Stitch Skills: A New Practice in AI Agent Skill Standardization
Google Labs open-sourced stitch-skills, a standardized skill encapsulation solution for AI Agents, compatible with Gemini CLI, Claude Code, Cursor and more.
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·4 min
No Competitive Programming Required: How CS Students Can Pivot to AI/ML and Land Internships
How can CS students who dislike competitive programming systematically pivot to AI/ML? This guide covers skill priorities (Python/SQL/ML/deployment), portfolio strategy, Kaggle tips, and real paths to landing AI/ML internships.
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·2 min
AI Testing Becomes a Hard Requirement for Job Switching: A Skill Upgrade Guide for Test Engineers
Over 60% of companies have adopted AI testing tools, and roles paying 15K+ commonly require AI testing experience. Engineers with AI testing skills can see 30%~50% salary jumps.
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·4 min
4 Skills to Completely Transform Claude Code: Say Goodbye to Token Waste and Cut Daily Coding to 2 Hours
Does Claude Code always give irrelevant answers? This article breaks down 4 core Skill plugins: Project Context Engine, PRD Requirements Translator, Code Review tool, and Daily Report Generator—showing you how to transform Claude Code from a money-burner into a true AI coding assistant.
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·7 min
Gemini Live Integrates Nano Banana: A Complete Guide to Real-Time Camera, Image Generation, and Maps Integration
Google's Gemini Live now integrates the Nano Banana image generation model with Connected Apps like Google Maps, supporting real-time camera scene understanding and visualization. Free worldwide.
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·7 min
21-Day Python Automation Testing Crash Course: A Complete Breakdown of the Three-Stage Learning Path
Learn automation testing from scratch! This article breaks down a three-stage path: Selenium/Appium tools, Requests+PyTest API testing, performance testing and CI/CD, with real projects—build a complete skill set in 21 days.
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·4 min
Agent Skills Deep Dive: A Complete Guide to Modular Agent Development Architecture
A deep dive into Anthropic's Agent Skills architecture — clarifying its difference from MCP, and how modular Skill packages enable scalable, maintainable enterprise agent development.
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·6 min
Skill vs MCP: The Essential Difference Between Two Types of AI Agent Capabilities and How They Work Together
Skill and MCP are two core concepts for building AI Agents. Skill encapsulates task execution methodology, while MCP provides a standardized protocol for connecting external tools. This article breaks down their core differences, abstraction levels, and collaboration.
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·7 min
Spec-Driven Development: Andrew Ng Teaches You to Master AI Coding Agents Efficiently
Andrew Ng partners with JetBrains on a new course systematically teaching Spec-Driven Development. By writing high-quality specs, developers can precisely control AI coding agents, eliminate context decay, and boost intent fidelity.
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·6 min
Sephora's AI Shopping Assistant in Practice: A Complete Methodology for a 5%+ Conversion Lift
Sephora partnered with OpenAI to build an AI beauty shopping assistant, achieving a 5%+ conversion lift. A deep dive into its conversational commerce design, ChatGPT integration, and four key lessons for retail AI transformation.
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