Topic

Ai Agents

5 entries

The golden rules of agent-first product engineering

This article outlines five golden rules for "agent-first" product engineering, advocating for building products where AI agents are treated as a primary interaction surface rather than an afterthought. Key principles include enabling agents to perform all user actions, exposing product functionality at an agent's natural level of abstraction (e.g., SQL), and front-loading universal context specific to the product.

Product Engineering

Ai Agents

Github Repo

llm-wiki

The "LLM Wiki" proposes a pattern for building persistent knowledge bases where an LLM incrementally creates and maintains a structured, interlinked wiki of markdown files from raw sources. This approach differs from typical RAG by having the LLM perform all the "bookkeeping"—summarizing, cross-referencing, and updating—allowing knowledge to compound and stay current, rather than being re-derived on every query. The system consists of immutable raw sources, the LLM-maintained wiki, and a guiding

Llm Wiki

Rag Alternative

Tool

110 Free Agent Skills — AI Agent Tools, Cursor Rules & Claude Code Skills | YepAPI

YepAPI offers over 110 free AI agent skills designed to enhance various AI coding platforms, including Cursor and Claude Code. These readily available configurations, provided in formats like Claude Code and AGENTS.md, allow users to copy-paste rules and patterns directly into their projects. The skills cover a broad range of topics from frameworks like Next.js and React to SEO, UI/UX, and data, enabling developers to build smarter and more specialized AI agents.

Skills

Ai Agents

Blog

A good AGENTS.md is a model upgrade. A bad one is worse than no docs at all.

This article emphasizes that the quality of `AGENTS.md` files is crucial for the effectiveness of AI models within a software development context. A well-written `AGENTS.md` acts as a significant enhancement, effectively upgrading the AI model's capabilities. Conversely, poor or absent `AGENTS.md` documentation can be more detrimental than having no documentation at all, underlining its critical role in AI agent performance. This suggests that precise and effective documentation is vital for opt

Ai Agents

Documentation

Websites

Blog | MindStudio

The MindStudio blog provides practical guides, tutorials, and real-world examples for building and optimizing AI agents and workflows. It features insights into multi-agent orchestration, cost-efficient model deployment, and leveraging enterprise AI infrastructure for faster application development. The articles also cover crucial industry trends, security and compliance issues, and comparisons of leading AI models and platforms like Claude, GPT, and DeepSeek.

Ai Agents

Ai Workflows