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.
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:
Property Description
Atomic One logical concern per wave
Buildable Code compiles after this wave (run type-check)
Focused Changes relate to ONE layer/concern
Complete No half-done work within a wave
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
Plan waves before coding
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List files that need changes
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Group by layer/concern
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Order by dependency (foundations first)
Implement one wave
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Make changes for that wave only
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Resist temptation to "fix one more thing"
Verify the wave
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Run type-check: bun run tsc --noEmit
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Ensure no errors introduced
Commit the wave
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Use conventional commit format
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Message describes what this wave accomplishes
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Body can list specific changes
Repeat for next wave
When to Use Waves
Scenario Waves? Why
Single file bugfix No One change, one commit
Add new type + factory Maybe Could be 1-2 waves
Refactor across 5+ files Yes Need logical grouping
Breaking API change Yes Types → API → Consumers
Add dependency + use it Yes Infra wave then usage wave
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:
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List all files that need changes
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Group by layer (types, factories, contracts, infra, consumers)
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Order by dependency
For each wave:
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Change only files in this wave
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Run type-check
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Commit with descriptive message
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Move to next wave
After all waves:
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Final type-check
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Run tests if applicable
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Create PR with clean commit history