incremental-commits（增量提交）

Incremental Commits

When a feature touches multiple files, implement in waves. Each wave is one logical concern, one commit. This creates a clean git history that tells a story.

Related Skills: See git for commit message conventions and PR guidelines.

The Pattern

Wave 1: Foundation (types, interfaces)
  ↓
Wave 2: Factories/Builders (functions that create instances)
  ↓
Wave 3: Contracts/APIs (public interfaces that use types)
  ↓
Wave 4: Infrastructure (utilities, converters, dependencies)
  ↓
Wave 5: Consumers (apps, UI, integrations)

Not every change needs all waves. A simple bugfix might be one wave. A cross-cutting refactor might need five.

Wave Characteristics

Each wave must be:

Real Example: Schema Refactor

This feature moved metadata from workspace to tables. Five waves:

Wave 1: Types

feat(schema): add IconDefinition, CoverDefinition, and FieldMetadata types

- Add IconDefinition discriminated union (emoji | external)
- Add CoverDefinition discriminated union (external)
- Add FieldMetadata with optional name/description to all field types
- Update TableDefinition to use icon/cover instead of emoji/order

Files: types.ts only. Foundation for everything else.

Wave 2: Factories

feat(schema): add optional name/description to field factory functions

All factory functions (id, text, richtext, integer, real, boolean, date,
select, tags, json) now accept optional name and description parameters.

Files: factories.ts only. Uses types from Wave 1.

Wave 3: Contracts

feat(schema): remove emoji and description from WorkspaceSchema

Workspace is now just a container with guid, id, name, tables, and kv.
Visual metadata (icon, cover, description) now lives on TableDefinition.

Files: contract.ts only. API change using new types.

Wave 4: Infrastructure

feat(schema): use slugify for human-readable SQL column names

- Add @sindresorhus/slugify dependency
- Add toSqlIdentifier() helper using slugify with '_' separator
- SQLite columns now use field.name (or derived from key) instead of key

Files: to-drizzle.ts, package.json. Utility that uses field metadata.

Wave 5: Consumers

feat(schema): update epicenter app to use TablesWithMetadata

- WorkspaceSchema now accepts TablesSchema | TablesWithMetadata
- Export new types from package index
- Update app to create proper TableDefinition with metadata

Files: App files that consume the new types.

The Workflow

1. Plan waves before coding

- List files that need changes - Group by layer/concern - Order by dependency (foundations first)

1. Implement one wave

- Make changes for that wave only - Resist temptation to "fix one more thing"

1. Verify the wave

- Run type-check: bun run tsc --noEmit - Ensure no errors introduced

1. Commit the wave

- Use conventional commit format - Message describes what this wave accomplishes - Body can list specific changes

1. Repeat for next wave

When to Use Waves

Anti-Patterns

Giant Commit

refactor: update schema system

- Add new types
- Update factories
- Change contracts
- Add slugify
- Update app

Problem: One monolithic commit. Can't bisect, can't revert partially, no story.

Micro Commits

feat: add IconDefinition type
feat: add CoverDefinition type
feat: add FieldMetadata type
feat: update IdFieldSchema
feat: update TextFieldSchema
...

Problem: Too granular. 20 commits for one logical change. Noise.

Wrong Order

Wave 1: Update app to use new types  ❌
Wave 2: Add the types                 ❌

Problem: Wave 1 won't compile. Bottom-up, not top-down.

Dependency Order Heuristic

When deciding wave order, ask: "What does this file import?"

types.ts         → imports nothing (foundation)
factories.ts     → imports types.ts
contract.ts      → imports types.ts
converters.ts    → imports types.ts, may add deps
app/             → imports everything above

Files that import nothing come first. Files that import everything come last.

Branch Strategy

For multi-wave work:

# Create feature branch
git checkout -b feat/my-feature

# Wave 1
# ... make changes ...
git add <files> && git commit -m "feat(scope): wave 1 description"

# Wave 2
# ... make changes ...
git add <files> && git commit -m "feat(scope): wave 2 description"

# ... continue waves ...

# When done, all waves are individual commits on the branch
# PR shows clean history of how the feature evolved

Quick Reference

Before starting:

• List all files that need changes
• Group by layer (types, factories, contracts, infra, consumers)
• Order by dependency

For each wave:

• Change only files in this wave
• Run type-check
• Commit with descriptive message
• Move to next wave

After all waves:

• Final type-check
• Run tests if applicable
• Create PR with clean commit history