{"repo":"zd8899/TDAD","free":true,"listed":false,"github":"https://github.com/zd8899/TDAD","clone":"git clone https://github.com/zd8899/TDAD.git","description":"Visual Test-Driven AI Development for AI Agents","language":"TypeScript","stars":79,"topics":["ai","ai-agents","bdd","claude","cursor","tdd","vscode-extension"],"license":"MIT","category":"ai-agents","readme_excerpt":"TDAD: Test-Driven AI Development TDAD (Test-Driven AI Development) is a visual workflow engine that upgrades your AI from a chaotic code generator into a disciplined engineer. It enforces a Plan → Spec → Test → Fix cycle where runtime feedback (not just text) guides your AI to deliver working software, not just snippets. Key Features: Local-first, Zero API calls, Use your own AI (Claude, ChatGPT, Cursor, etc.), Parallel Auto-Pilot, Build remotely with Slack, and Free. Quick Links: Installation • Getting Started • Features • Contributing • Community ---- The Problem with AI Coding (And How We Fix It) Most AI coding tools fail because they lack runtime feedback and engineering discipline . TDAD fixes the 4 major flaws of AI development: 1. Problem: \"Getting Lost in the Chat\" AI chats are linear and forgetful. As you build more features, you lose track of the big picture, what's actually finished, and how it all connects. The Solution (The Visual PM): TDAD's Canvas is your AI Project Manager. It maps your entire product as a living flowchart, not a text list. You see exactly what to build next, which features are passing (Green), and which are broken (Red). It turns \"chat chaos\" into a disciplined delivery pipeline. 2. Problem: The \"Lazy Prompt\" Effect Most AI code fails because the prompt was vague. You shouldn't have to write paragraphs of context to get a simple feature. The Solution (Auto-Specs): Think of this as defining your Jira Tickets perfectly before starting work. TDA","default_branch":null,"files":null,"tree":[],"storefront":"/r/zd8899","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zd8899/TDAD/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}