Tools like Userdoc (https://userdoc.fyi) help in a few ways, you can easily create requirements (stories, personas, journeys, test cases), but also reverse engineer existing source code into detailed docs, then ask natural language questions etc. AI helps us plan our product in Userdoc, and our devs connect via MCP to bring those requirements directly in to Cursor (full disclaimer, I work at Userdoc - but we eat... - Source: Hacker News / about 1 year ago

Userdoc has versioning of stories and acceptance criteria, aimed to at helping this exact issue https://userdoc.fyi (transparency: I’m the founder). - Source: Hacker News / over 1 year ago

I'm interested to hear how other people are using tools to help them, we've been playing with userdoc.fyi and having good success, but there are just so many AI related tools I feel like I can't keep up! Source: about 3 years ago

Great read, I spent years thinking requirements should live somewhere like Jira, and I feel for many teams this is the case. But as the author mentions, Jira contains tasks related to bugs, text changes, colour changes etc.. These are not product requirements per se. Like the author, I came to the conclusion requirements are best kept in a requirements management system, that integrates with your project... - Source: Hacker News / about 3 years ago

I built Userdoc (https://userdoc.fyi) a requirements management system for software projects. After running a development consultancy for 8 years, I wanted a dedicated system for gathering and confirming requirements, and only syncing them with project management tools like Jira when they are ready (but keeping them in Userdoc as the living documentation and source of truth. Things are going well, we have some... - Source: Hacker News / over 3 years ago

Instead of the model returning a text summary of quarterly revenue, it generates a live, interactive chart with drill-down capability, customized to the user's role and the specific comparison they requested. The UI is no longer pre-designed. It is synthesized on demand from the intent. Vercel v0 is the clearest production example: you describe a component and receive a working, styled, interactive React component... - Source: dev.to / 3 months ago

One of our clients for the React CRM template told me in a meeting that why don’t we should make a simple AI chat input that takes my prompts and makes changes in the existing template? And that’s why I add v0.dev and lovable.dev link for this React CRM template, helping our users to purchase and customise using the AI website builder. - Source: dev.to / 8 months ago

In 2025, I will always choose v0.dev or Google Stitch to generate AI-based web apps and web designs. This helps me to bring imagination into reality. - Source: dev.to / 8 months ago

Head over to v0.dev and create a new project. The key to getting good results from v0 is writing detailed prompts that describe exactly what you want. - Source: dev.to / 8 months ago

The rise of tools like GitHub Copilot, V0.dev, and conversational coding assistants show us one thing: frontend development is moving towards a chat-first experience. - Source: dev.to / 10 months ago