
ForgeLab Brain – Multi-AI Development with Built-In Audit Loop Verification
ForgeLab Brain:多个AI智能体协作编程,自动验证和修复错误
@ForgeLab_Brain · X
Open beta launched. See more here: 🌐 #VibeCoding #BuildInPublic #IndieHacker #AIdev
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ForgeLab Brain:多个AI智能体协作编程,自动验证和修复错误
@ForgeLab_Brain · X
Open beta launched. See more here: 🌐 #VibeCoding #BuildInPublic #IndieHacker #AIdev

在共享层中记录产品决策、背景和推理,团队不会遗忘决策背后的原因。
@TimEngng · X
Stop losing the "why" behind product decisions -

将AI生成的后端代码转化为可视化、可验证的逻辑层。
@SpalaAi · X

检查 AI 推理踪迹,评估模型真实性。
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork

与团队和AI代理在一个工作空间中构建、验证和发布软件。
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte