@DivyanshT91162: GitHub may have just killed vibe coding. Their new repo “spec-kit” already has 92k+ stars — and it reveals where AI-dri…

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Summary

GitHub's 'spec-kit' repository has gained 92k+ stars by offering a structured 6-command workflow that transforms vague ideas into executable specifications for AI coding agents, positioning itself as an alternative to unstructured 'vibe coding'. It supports Claude Code, Copilot, Cursor, Codex, Gemini, and 25+ other AI agents.

GitHub may have just killed vibe coding. Their new repo “spec-kit” already has 92k+ stars — and it reveals where AI-driven development is actually heading. Instead of telling your AI: “Build me a todo app” and hoping for the best… You run 6 commands that turn your idea into an executable specification: • "/speckit.constitution" → defines project rules (quality, testing, UX) • "/speckit.specify" → explains WHAT to build, not the tech • "/speckit.clarify" → AI asks questions to remove ambiguity • "/speckit.plan" → choose the stack and architecture • "/speckit.tasks" → generates dependency-ordered tasks • "/speckit.implement" → the agent builds it The deliverable is no longer the code. It’s a living specification your AI can read, debate, and execute. Works with Claude Code, Copilot, Cursor, Codex, Gemini, and 25+ other agents. The shift most people still don’t see: “AI writes code” → “AI executes specifications.” Intent-driven development is the next era of software development. Repo
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@laobaishare: GitHub steps in directly — from now on, no AI will write code blindly anymore. --- The newly released Spec Kit has soared to 95K stars in just a few days. The core idea is simple: make AI clearly specify what to do before touching any code. No more throwing a vague prompt and praying the agent doesn't blow up your project.

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GitHub has released Spec Kit, a tool that forces AI to generate structured specifications before writing code, including understanding requirements, asking for missing details, organizing the project, and more. It significantly reduces AI-generated error-prone code and is compatible with 25+ AI agents.