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检查 RAG 块并可视化 AI 代理工作流、内存架构和执行轨迹。
@Higgs0110 · X

FizzBee 是 AI 需求工程师,为编程 agent 生成经过验证的规格说明。
jayaprabhakar · HN
I've been building an open source formal methods system (fizzbee.io) for the past few years. Today I'm launching a new app built on the same technology. It performs requirements engineering using formal verification to uncover gaps and produce precise instructions for your coding agents to follow. When given a prompt, it - asks high signal follow-up questions - converts to formal spec and identifies complex requirements gaps - generates validation scenario At the end, it produces a specification document that can be shared with coding agents. In my trials on various projects, it produces working code in fewer iterations. Please give it a try and share your feedback. https://fizzbee.ai/ You can also look at a sample project. https://fizzbee.ai/projects/94bf2869-97a1-445c-8f5d-4445848b...

发布真实问题,获取社区验证和开发者解决方案。
@cultkoushik · X
A problem warehouse for creators


根据需求自动生成测试用例和脚本。
@SEOexpertpkk · X
AI-Driven Test Automation Platform

将对话转化为已验证的API架构和规范。
@NeuralArchitec · X
Vibe coding a smart wallet is high-stakes. One logic gap and the funds are gone. We bridge that risk by turning messy vibe thoughts into verified schemas and API maps. Build fast, stay precise. 🏛️

seus.ai 自动设计、构建和部署软件系统。
@Bim_evaporates · X
Check out DMs open

通过实时压缩提示词和检测重复工具调用,将AI代理的Token成本降低40-70%。
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

为现代团队自动化负载测试,无需复杂设置或手动脚本编写。
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional


DevOps 学习路线图,包含结构化主题、实践项目和面试问题。
@uday_devops · X