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Architecture

SpecForge separates product UI from project intelligence so the repository can be evaluated like a real app instead of a static showcase.

Data Layer

src/data/repositories.ts contains a fixed evidence snapshot from 2026-06-13. Each repository signal has:

  • identity fields: owner, name, URL, avatar, language, stars
  • category fields: agent, automation, education, MCP, research, systems, UI
  • source and evidence notes
  • normalized project dimensions: social proof, technical depth, demo appeal, feasibility, moat, and risk

The app uses fixed data by design. GitHub profile demos should not break because a rate limit, API schema, or private token changed.

Scoring Engine

src/lib/scoring.ts exposes three core functions:

  • normalizeStars: log-scales large star counts so one mega-repo does not dominate every result
  • calculateRepoScore: ranks a single repository by stars plus product fit dimensions
  • calculatePortfolioScore: scores a selected project thesis across multiple inspirations

This means the UI is not hand-sorted. The project can be extended with new evidence without rewriting presentation logic.

Workflow Simulator

src/lib/workflow.ts converts selected repositories and build options into a deterministic run:

  • signal intake
  • spec contract
  • workflow graph
  • guardrails
  • build loop
  • release kit

Each node has confidence, risk, duration, status, and an output artifact. The run also produces event timeline entries and dashboard metrics.

Export Boundary

src/lib/exporters.ts generates a Markdown blueprint that can be copied or downloaded. This keeps export logic outside React components and makes it testable later.

UI Composition

src/App.tsx is intentionally a single product shell, while core logic lives in modules. The UI includes:

  • sidebar navigation
  • project score overview
  • mode toggles and scope control
  • repository radar
  • workflow graph canvas
  • node inspector and event timeline
  • generated blueprint preview
  • evidence chain

Extension Ideas

  • Add a GitHub Actions workflow for lint, tests, and build.
  • Add a command-line exporter for blueprint generation.
  • Add screenshot generation for README assets.
  • Add an optional live GitHub fetcher with cached fallback data.
  • Add custom scoring profiles for backend, AI, data, and frontend portfolios.