multica/CLAUDE.md

CLAUDE.md

This file gives coding agents high-signal guidance for this repository.

1. Project Context

Multica is an AI-native task management platform — like Linear, but with AI agents as first-class citizens.

• Agents can be assigned issues, create issues, comment, and change status
• Supports local (daemon) and cloud agent runtimes
• Built for 2-10 person AI-native teams

2. Architecture

Polyglot monorepo — Go backend + TypeScript frontend.

• server/ — Go backend (Chi + sqlc + gorilla/websocket)
• apps/web/ — Next.js 16 frontend
• packages/ — Shared TypeScript packages (ui, types, sdk, store, hooks, utils)

3. Core Workflow Commands

# One-click setup & run
make setup            # First-time: install deps, start DB, migrate
make seed             # Optional: load example data
make start            # Start backend + frontend together
make stop             # Stop everything

# Frontend
pnpm install
pnpm dev:web          # Next.js dev server (port 3000)
pnpm build            # Build all TS packages
pnpm typecheck        # TypeScript check
pnpm test             # TS tests (Vitest)

# Backend (Go)
make dev              # Run Go server (port 8080)
make daemon           # Run local daemon
make test             # Go tests
make sqlc             # Regenerate sqlc code
make migrate-up       # Run database migrations
make migrate-down     # Rollback migrations
make seed             # Seed example data

# Infrastructure
docker compose up -d  # Start PostgreSQL
docker compose down   # Stop PostgreSQL

4. Coding Rules

• TypeScript strict mode is enabled; keep types explicit.
• Go code follows standard Go conventions (gofmt, go vet).
• Keep comments in code English only.
• Prefer existing patterns/components over introducing parallel abstractions.
• Avoid broad refactors unless required by the task.

5. Testing Rules

• TypeScript: Vitest. Mock external/third-party dependencies only.
• Go: Standard go test. Use testcontainers or test database for DB tests.

6. Commit Rules

• Use atomic commits grouped by logical intent.
• Conventional format:
  • feat(scope): ...
  • fix(scope): ...
  • refactor(scope): ...
  • docs: ...
  • test(scope): ...
  • chore(scope): ...

7. Minimum Pre-Push Checks

make check    # Runs all checks: typecheck, unit tests, Go tests, E2E

For individual checks during development:

pnpm typecheck        # TypeScript type errors only
pnpm test             # TS unit tests only (Vitest)
make test             # Go tests only
pnpm exec playwright test   # E2E only (requires backend + frontend running)

8. AI Agent Verification Loop

After writing or modifying code, always run the full verification pipeline:

make check

This runs all checks in sequence:

1. TypeScript typecheck (pnpm typecheck)
2. TypeScript unit tests (pnpm test)
3. Go tests (go test ./...)
4. E2E tests (auto-starts backend + frontend if needed, runs Playwright)

Workflow:

• Write code to satisfy the requirement
• Run make check
• If any step fails, read the error output, fix the code, and re-run make check
• Repeat until all checks pass
• Only then consider the task complete

Quick iteration: If you know only TypeScript or Go is affected, run individual checks first for faster feedback, then finish with a full make check before marking work complete.

9. E2E Test Patterns

E2E tests should be self-contained. Use the TestApiClient fixture for data setup/teardown:

import { loginAsDefault, createTestApi } from "./helpers";
import type { TestApiClient } from "./fixtures";

let api: TestApiClient;

test.beforeEach(async ({ page }) => {
  api = await createTestApi();       // logged-in API client
  await loginAsDefault(page);        // browser session
});

test.afterEach(async () => {
  await api.cleanup();               // delete any data created during the test
});

test("example", async ({ page }) => {
  const issue = await api.createIssue("Test Issue");  // create via API
  await page.goto(`/issues/${issue.id}`);             // test via UI
  // api.cleanup() in afterEach removes the issue
});