Thereone — The Meta-OS for Coding

Inspiration

Vibe coding has never been structured.
Developers (myself included) constantly struggle with debugging, integrations, and code reviews because coding often happens in an unstructured way.

When projects are small, writing good prompts and keeping the process in my head sometimes worked. But as features scaled, complexity exploded. For me it became messy — for AI with limited context windows, it became impossible.

That’s why I created Thereone — to bring structure, project management principles, and orchestration into AI-assisted development.


What it does

Thereone.ai generates a viable coding roadmap using a multi-generation pipeline (MoM approach).

Each roadmap includes:

  1. Structured Prompts tailored for IDEs like Cursor, VS Code, or Replit
  2. Resource Guides with curated links and learning material
  3. Code Blocks with explanations and context
  4. Step-by-Step Guidance for building features
  5. Integration Instructions (cloud, APIs, inference models, etc.)
  6. Architecture & API Diagrams
  7. (Coming Soon) AI-generated images for diagrams and workflows

But that’s just the start.


The Future — “Thereoning” Your App

In the future, developers won’t just vibe-code or viable-code.
They’ll Thereone their app.

Here’s how it will work:

  • Users connect all their workspaces to Thereone:

    • Local IDE
    • v0 account
    • Replit account
    • GitHub account
    • Hugging Face account
    • Google Cloud Console
    • (Other integrations as well)
  • Thereone introduces an Agent-to-Agent (A2A) communication layer:

    • Every roadmap step becomes one-click executable on the correct workspace with the support of Multi Agent Orchestration.
    • Prompts, tokens, API setup, and third-party integrations are handled automatically.
  • Developers get:

    • A single interface to track progress
    • Roadmaps that don’t just guide — they execute
    • Focus on building, while Thereone orchestrates the environment

How we built it

Technologies Used:

  • Hugging Face Inference
  • Prisma DB
  • Next.js
  • Microsoft Diablo Models (bootstrapping without costly APIs like Claude or GPT)
  • Google Calendar API (task reminders & scheduling)
  • Payment Provider (Stripe or Razorpay — in progress)
  • Letta Framework for building MemGPT agents

Challenges we ran into

  • Rendering long roadmaps in UI
  • Strict JSON output from LLMs
  • Routing issues with JWT tokens
  • Designing a stable multi-gen pipeline:
    • Claude (roadmap generation)
    • GPT-5 (research, code, integrations)
    • Reviewer model (validation + scoring)
      Persisting accurate data across this chain was tough.
  • Resource constraints (currently on free Hugging Face models)

Accomplishments we’re proud of

  • We shipped the pipeline and it works
  • Roadmaps are generating beautifully (still using a small 7b model though)
  • Onboarded 10 early users
  • Received positive feedback: users built working projects smoothly

What we learned

  • Build with users, not just for them
  • Revenue sustainability is key to unlocking better models
  • Viable Coding >> Vibe Coding — and soon, “Thereoning”

What’s next for Thereone

  • Grow from 10 → 100 users
  • Convert 10+ paying users
  • Launch on Product Hunt
  • Add a community section where users share projects + roadmaps
  • Get into a top incubator (YC, etc.)
  • Expand into the A2A execution layer, turning roadmaps into live, executable workflows

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