Benny Joo
ab21c7f805
* feat: Cal.diy — community-driven MIT-licensed fork of Cal.com This squashed commit contains all Cal.diy changes applied on top of calcom/cal.com main: - Rebrand Cal.com to Cal.diy across the entire codebase - Remove Enterprise Edition (EE) features, license checks, and AGPL restrictions - Switch license from AGPL-3.0 to MIT - Remove docs/ directory (migrated to Nextra at cal.diy) - Remove dead code: org tests, EE tips, platform nav, premium username, SAML/SSO, etc. - Clean up .env.example for self-hosted Cal.diy - Update Docker image references to calcom/cal.diy - Update README, CONTRIBUTING.md, and issue templates for Cal.diy community fork - Add PR welcome bot for Cal.diy contributors - Fix API v2 breaking changes oasdiff ignore entries - Replace Blacksmith CI runners with default GitHub Actions 3893 files changed, 20789 insertions(+), 411020 deletions(-) Co-Authored-By: benny@cal.com <sldisek783@gmail.com> * refactor: remove org-specific /organizations/:orgId endpoints from API v2 atoms controllers (#1701) Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: revert Cal.diy Inc to Cal.com, Inc. in license files, copyright notices, and package metadata (#1702) Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * rip out org related comments in api v2 --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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title, impact, impactDescription, tags
| title | impact | impactDescription | tags |
|---|---|---|---|
| Leverage AI for Boilerplate and Testing | MEDIUM | Accelerates development while maintaining quality | culture, ai, automation, testing |
Leverage AI for Boilerplate and Testing
Impact: MEDIUM
Generate 80% of boilerplate and non-critical code using AI, allowing us to focus solely on complex business logic and critical architectures.
Where AI excels:
- Generating boilerplate code (DTOs, basic CRUD operations)
- Building comprehensive test suites
- Creating documentation
- Repetitive refactoring tasks
- Code review assistance
Where humans must focus:
- Complex business logic
- Critical architectural decisions
- Security-sensitive code
- Performance-critical algorithms
- Domain-specific edge cases
Example - AI-assisted test generation:
// Human writes the function
export function calculateOverlap(slot: TimeSlot, busy: BusyTime): boolean {
return slot.start < busy.end && slot.end > busy.start;
}
// AI generates comprehensive tests
describe("calculateOverlap", () => {
it("returns true when slot starts during busy period", () => {
// AI-generated test case
});
it("returns true when slot ends during busy period", () => {
// AI-generated test case
});
it("returns false when slot is completely before busy period", () => {
// AI-generated test case
});
it("returns false when slot is completely after busy period", () => {
// AI-generated test case
});
it("returns true when slot completely contains busy period", () => {
// AI-generated test case
});
it("returns true when busy period completely contains slot", () => {
// AI-generated test case
});
// AI identifies edge cases humans might miss
it("handles exact boundary matches correctly", () => {
// AI-generated edge case
});
});
Our CI is the final boss:
- Everything in our standards document is checked before code is merged in PRs
- No surprises make it into main
- Checks are fast and useful
- AI helps ensure comprehensive coverage
Reference: Cal.diy Engineering Blog