Bring the joy back to coding. Verdent is an AI coding assistant built for deep focus, with a clean, chat-first experience and no distractions. It asks clarifying questions early, helps you handle multiple tasks at once, and clearly shows what changed in your code. So you can spend more time creating and shipping solid results.
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The fact that it asks clarifying questions early sounds like a huge time-saver. I wonder if it’s smart enough to catch potential bugs in my logic before it even starts writing the code, or if it’s mostly just for clearing up the project requirements.
@theaxx Both, actually. Verdent asks questions not just to clarify requirements, but also to surface ambiguities and potential logic issues early on. That’s exactly the intent behind our clarification design.
This looks really solid, the focus on flow and parallel agents feels very aligned with how dev work actually happens. I am building an AI conversational form called Dashform, and I am always curious whether tools like this can genuinely improve day-to-day efficiency. Would love to try your product out
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Congratulations on the new launch! How is the model selection handled? Does the user decide when to use multiple models, or does the system determine it automatically? Could there be conflicts in the final output?
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Hello Verdent team,
I am developing an app with significant scale potential, using Verdent.ai as the backend engine and FlutterFlow for the frontend.
After several days of work, I would like to share with you three points of friction that, if resolved, would make Verdent the ultimate tool for FlutterFlow developers:
API Export (OpenAPI/Swagger): Manually configuring each API call in FlutterFlow is tedious and error-prone. It would be great to have an “Export to FlutterFlow” button that generates a compatible JSON file to import all endpoints, variables, and response structures at once.
Strict Type Validation for Frontend: FlutterFlow is extremely rigid with data types (int vs double, e.g.). A “Response” node that allows you to force the output schema would ensure that the app doesn't break due to small variations in the AI's JSON.
Long-Running Task Handling (Timeouts): Complex AI analyses sometimes exceed FlutterFlow's timeout. A system of webhooks or native intermediate states in the flow would greatly facilitate the “loading” UX in the mobile app.
I am very excited about Verdent's potential. If you need a beta tester for FlutterFlow-oriented features, count me in!
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The fact that it asks clarifying questions early sounds like a huge time-saver. I wonder if it’s smart enough to catch potential bugs in my logic before it even starts writing the code, or if it’s mostly just for clearing up the project requirements.
Verdent
@theaxx Both, actually. Verdent asks questions not just to clarify requirements, but also to surface ambiguities and potential logic issues early on. That’s exactly the intent behind our clarification design.
Thanks for the thoughtful question!
Agnes AI
Finally got someone working for me while im having tea break! How many agents in parrallel can work at the same time?
Verdent
@cruise_chen guess what? as many as you want loll
This looks really solid, the focus on flow and parallel agents feels very aligned with how dev work actually happens. I am building an AI conversational form called Dashform, and I am always curious whether tools like this can genuinely improve day-to-day efficiency. Would love to try your product out
Congratulations on the new launch! How is the model selection handled? Does the user decide when to use multiple models, or does the system determine it automatically? Could there be conflicts in the final output?
Hello Verdent team,
I am developing an app with significant scale potential, using Verdent.ai as the backend engine and FlutterFlow for the frontend.
After several days of work, I would like to share with you three points of friction that, if resolved, would make Verdent the ultimate tool for FlutterFlow developers:
API Export (OpenAPI/Swagger): Manually configuring each API call in FlutterFlow is tedious and error-prone. It would be great to have an “Export to FlutterFlow” button that generates a compatible JSON file to import all endpoints, variables, and response structures at once.
Strict Type Validation for Frontend: FlutterFlow is extremely rigid with data types (int vs double, e.g.). A “Response” node that allows you to force the output schema would ensure that the app doesn't break due to small variations in the AI's JSON.
Long-Running Task Handling (Timeouts): Complex AI analyses sometimes exceed FlutterFlow's timeout. A system of webhooks or native intermediate states in the flow would greatly facilitate the “loading” UX in the mobile app.
I am very excited about Verdent's potential. If you need a beta tester for FlutterFlow-oriented features, count me in!
Best regards,
Cristian