Capacity
Create Fullstack Web Applications in seconds using AI
387 followers
Create Fullstack Web Applications in seconds using AI
387 followers
Create Full Stack Web Apps in Seconds with AI and natural language.
This is the 2nd launch from Capacity. View more
Spec Coding by Capacity
Launched this week
Most AI app builders jump straight into building.
That feels fast until your app gets messy, inconsistent, and nothing like what you imagined.
Today, we’re introducing Spec Coding in Capacity.
Instead of building immediately, Capacity now lets you define your app first with the help of an AI co-founder that asks the right questions before any code is generated.
More structure upfront.
Far less refactoring later.
Much better results.
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Launch Team / Built With
Having used other vibe coding tools, excited to try another method to get started! Is this already connected on the backend to a DB, and does it support something google login, or payment systems?
Capacity
@gayathri_kamath backend relies on your Supabase account. To integrate google login, payment providers or any other 3rd party platform, you can co-write coding tasks with our specialized agents: they will deal with the technical strategy for you
The "planning first" approach addresses the biggest pain point in vibe coding – fast initial iterations that turn into technical debt. Most AI builders optimize for speed-to-first-render, not maintainability.
This spec-first flow reminds me of design systems thinking: define constraints upfront, iterate freely within them. Does the AI co-founder maintain spec consistency across revisions? That continuity would be critical for teams building beyond MVPs.
Capacity
@jacky0729 our planning system is broader since it's not only at the task level but at the project level as well (PRD, design specs...). Updating your PRD will produced adjusted coding tasks, and the coding agent will deal with adjusting the implementation of the platform.
In other words, the implementation of the platform is the mirror of your specs.
The spec-first approach resonates—I've seen plenty of vibe-coded apps where early assumptions snowball into major rewrites. I'm curious how the system handles evolving requirements mid-project. Does the AI co-founder flag when new requests conflict with the original spec, or does it silently adjust?
Capacity
@yamamoto7 our planning system is broader since it's not only at the task level but at the project level as well (PRD, design specs...). Updating your PRD will produced adjusted coding tasks, and the coding agent will deal with adjusting the implementation of the platform. In other words, the implementation of the platform is the mirror of your specs
The co-founder is your assistant that has the knowledge of all the specs of your project. It may tell you if the feature you want to implement is considered out of the MVP scope, but won't prevent you from doing so
I like the co-founder concept—does it ask clarifying questions at each step, or does it front-load all the planning before generating anything?
Capacity
@jacky0729 your project specifications are generated step-by-step. During each step, you are guided by a specialized AI agent that ask you clarifying questions. Once your project specifications are written, you can move on to coding tasks. Coding tasks are the bridge between your project specs and the implementation of your app. So it goes project specs -> Coding tasks -> Implementation
Would love to learn how Capacity is different from Lovable and Base44!
Capacity
@joyce_qiao1 we strongly committed on spec coding. The issue with vibecoding tools is they encourage to build first instead of planning, but this approach is not scalable. You end up with an application that lies on a growing technical debt.
With spec coding, you start with planning the features you want to implement with our specialized AI agents, and then you implement. AI output becomes more deterministic and you make your application scalable.
Spec coding tools are baked in Capacity.
Looks good, good luck.
What is supported for backend and frontend?
Capacity
@dexiv thanks for the support 🙏 We made opinionated choices: vitejs + react for the frontend and supabase for the backend. We would love to support Next.js as well, but this is off-limits at the moment.
A really good idea! Apps like this need more business analysis, which includes quite a few important steps. Only after completing those steps should the code be generated. That’s when it becomes truly useful.