Loop Engineering
CodingPractical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.
30 hand-ranked AI tools for print & merch, 27 with a free plan. Print & merch AI tools in Design: t-shirt design, sticker design, patterns, book covers, greeting cards.
Quick answer: the best AI tool for print & merch is Loop Engineering, followed by Avoid Ai Writing and Agent Memory Techniques. Best free option: Loop Engineering.
Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.
Skill that audits and rewrites content to remove AI writing patterns. Use it with your favorite agents including Claude Code, OpenClaw, Codex, and Hermes.
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Practical LangChain patterns and implementations for real-world LLM applications. 极客时间:LangChain实战课 - 这是LangChain框架早期设计的一系列重点模块的直接而清晰的示例和讲解。随着LangChain的快速演进,有些代码需要安装新的版本进行迭代。希望大家在快速浏览课程概念(仍有价值)的同时,自行学习LangChain最新的代码和进展。
A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.
A Spring AI library that brings Claude Code-inspired tools and agent skills to your AI applications.
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An AI assistant built for compounding context. It learns your taste, detects hidden patterns, augments your brain context and works proactively.
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AI-powered punch needle embroidery pattern generator with color-coded yarn maps. Generates patterns from text prompts or image uploads, exports PDF/PNG/SVG.
Free browser-based prompt injection vulnerability checker. Analyzes LLM system prompts against 31 attack patterns (jailbreaks, role override, data exfiltration) and returns a security score with remediation guidance. No signup, runs client-side.
This document is a compilation of best practices for AI-Native development, curated by our community. Discover useful tips and tricks for leveraging tools to improve your AI development process.
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Multi-Agent Collaboration Design Patterns Built on LangGraph with 10+ battle-tested patterns, each with complete code, architecture diagrams, and benchmarks.
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CodeAutopsy is an AI-powered GitHub repository analyzer that automatically detects architecture patterns, execution flow, tech stack, and key modules using static analysis and dependency graphs.
Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named patterns, contracts, and substrate portability, before you write them.
120 patterns that make writing read like AI slop, with an agent skill for Claude Code and Codex.
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TypeScript SDK for MCP server observability, built on OpenTelemetry. Gain insight into agent usage patterns, contextualize tool calls, and analyze server performance across platforms. Integrate with any OpenTelemetry ingest service including the Shinzo platform.
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Research-first architecture engine for Python, TS, Go and Rust. Mines GitHub Issues for real production failures before scaffolding, then audits drift, cycles and fragility in code you already have. Zero import cycles, zero critical anti-patterns - measured against itself.
On Deekoya AI, the top-ranked tool for print & merch right now is Loop Engineering: Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.. The best choice depends on your budget and workflow, so compare the top 5 below.
Yes. Loop Engineering, Avoid Ai Writing, Agent Memory Techniques, Langchain In Action, Ai Development Patterns are listed as free or freemium. Check each official site for current limits.
By Deekoya's quality score (listing completeness, verified source, official website) combined with public popularity signals such as GitHub stars and Hugging Face likes, with editor picks first. Rankings are not paid placements.