ears

Faithful fancy fashion features for fuzzy folk.

NickAc's Minecraft Skin Renderer - Render Minecraft skins with true perspective

Linked-Intent Development - a SDD methodology for agentic coding

本书要解决的问题只有一个：如何让AI在有限的token预算下，第一次就生成可信的代码，而不是靠反复来回试错去逼近正确答案。

🦊 An app to control Tail Company gear

Write requirements faster using intuitive EARS syntax in VS Code, supported by syntax highlighting and code completion.

AI-powered automotive systems engineering skill: INCOSE/EARS requirements analysis, MISRA-C compliance, SAE J3016 ADAS levels, ISO 26262 ASIL, AUTOSAR, SOTIF. Works with Claude Code, ChatGPT Custom GPTs, Cursor, and any AI tool.

Quick implementation of conformance to requirements template like EARS, RUPP & AGILE user story

The definitive guide to Spec-Driven Development: build software with AI agents, from method to production code. Book in EN + pt-BR with a ready-to-use SDD kit for Claude Code.

基于 EARS 规范，将模糊的业务想法转化为清晰、结构化、AI 易读的需求文档

Turn a legacy codebase into a verifiable, versionable knowledge graph of its business rules — LLM map/reduce inside deterministic verifiers, language-agnostic via tree-sitter.

Tools for helpings with EARS (Easy Approach to Requirements Syntax) when using SDD (Spec driven development)

tools for the adv-ears requirements format

GOATEQ is a fork of "EARS" which is not available anymore for newer Chrome Browsers

Spec layer for AI coding agents: turn intent into EARS requirements and verification obligations

Write software specifications an AI coding agent can execute: EARS/SHALL requirements, a determinism boundary, and a /specify interviewer that emits the spec + build prompt (or the skill/agent artifact).

Claude Code plugins for spec-first development: every agent claim cites a source, every code change traces to a requirement, and ceremony scales to the weight of the task.

Harry's EQ Settings for Headphones, Earbuds, IEMs, Microphones, and Speakers.

Platform self-evolution: how a Level-5 AI platform-engineering system (LLMGen) can generate a substrate that improves itself from within - internal defects + external EARS/free-text requirements → verified, deployed self-changes. Position + feasibility + reference architecture.