AI圈报教程 / 实战普通
Stećak Oracle: Exploring Medieval Stone Monuments with Sanity and Gemini
内容摘要
I decided to build something around a subject that is very close to where I live: stećci, the...
相关推荐
综合分类、实体标签与信息来源匹配
教程 / 实战普通
Transformer Basics: The Architecture Behind ChatGPT, Claude and Gemini
Before 2017, most language AI systems relied on Recurrent Neural Networks (RNNs) and LSTMs. They...
信息来源：DEV Community · ChatGPT / Claude / Gemini
教程 / 实战普通
Why the Gemini models inside Antigravity are so bad at following instructions
I've used Antigravity a lot since it came out. Even though I don't use it as much right now, I wanted...
信息来源：DEV Community · Gemini
教程 / 实战普通
How to Embed Your App in AI Clients with MCP: Complete Guide for Product Leaders
How to embed your app in Claude, ChatGPT, Cursor, Copilot, and Gemini via MCP. Strategy, embedding depth, auth, build-vs-buy, and discovery for 2026.
信息来源：DEV Community · ChatGPT / Claude / Gemini
教程 / 实战普通
MCP Client Comparison: Claude vs ChatGPT vs Cursor vs Copilot vs Gemini
MCP client comparison: Claude, ChatGPT, Cursor, Microsoft Copilot, Gemini, Perplexity. Distribution, auth, audience, and discovery side-by-side.
信息来源：DEV Community · ChatGPT / Claude / Gemini
教程 / 实战普通
A prompt told me my tool was built on a product that doesn't exist
I ran a comparison prompt against Gemini to see how it described the CLI I maintain. It came back...
信息来源：DEV Community · Gemini
教程 / 实战普通
Firebase AI Logic in Angular: Client-Side Gemini Without a Custom Backend
Since I last wrote Building AI-powered e-commerce applications using Angular & Firebase AI Logic...
信息来源：DEV Community · Gemini
教程 / 实战普通
Context aware Spring AI chat microservice
Keeping State in a Stateless World: Building a Context-Aware Gemini Microservice with Spring...
信息来源：DEV Community · Gemini
教程 / 实战普通
How I Built a Bilingual RAG-Powered AI Calling & Chat Agent (With a Full Admin Ops Center)
Most "AI chatbot" projects stop at a demo: a widget, an OpenAI/Gemini call, a canned prompt. Getting...
信息来源：DEV Community · OpenAI / Gemini
教程 / 实战普通
Ask the Raw LLM API From Your Terminal. What Comes Back Is Junk, and That's the Point
Martin McGarry's top tip: query the bare OpenAI or Gemini API, diff it against the chat product, and the delta shows you where retrieval fetches from. Plus RSS as the next llms.txt and the grace period spam drives through.
信息来源：DEV Community · OpenAI / Gemini
教程 / 实战普通
Building a Sub-Second Enterprise RAG Engine with PostgreSQL, pgvector, and the Gemini API
The AI engineering space is currently obsessed with unbundling the data stack. The moment...
信息来源：DEV Community · Gemini