Vibecode Factorial

You are building a lean indie version of Factorial.

Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt.

===== README.md =====
# Factorial indie build

## Goal

Build the smallest trustworthy replacement for the core Factorial workflow for one developer or a tiny team.

## Scope

Track documents, leave, schedules, and onboarding, maintain approvals and records, and export data without calculating payroll or making employment decisions.

## Quick start

1. Install the documented dependencies.
2. Copy `.env.example` to `.env`.
3. Run the development command chosen during implementation.
4. Complete the acceptance checks in `BUILD_PLAN.md`.

## Honest limits

This build deliberately does not replace:
- HR workflows, time, payroll integrations, compliance, analytics, and support
- payroll rails
- tax and labor-law compliance
- benefits integrations
- identity checks and global employment infrastructure

If those capabilities are essential, use Frappe HR instead of pretending the gap is solved.

===== AGENTS.md =====
# Agent instructions

- Optimize for a working, understandable weekend build.
- Prefer the fewest moving parts that satisfy the brief.
- Do not invent cryptography, security guarantees, APIs, or compliance claims.
- Keep secrets out of source control and logs.
- Add focused tests for destructive, security-sensitive, and data-loss paths.
- Run the project checks before declaring the build complete.
- Record any deliberate shortcut in the README under "Tradeoffs".

===== BUILD_PLAN.md =====
# Build plan

## Original build brief

Build a closest honest personal substitute for Factorial in an empty repository.
Use Next.js 15, TypeScript, PostgreSQL, Drizzle ORM, and Docker Compose; do not offer alternative stacks.
The core loop is: track documents, leave, schedules, and onboarding, maintain approvals and records, and export data without calculating payroll or making employment decisions.
Make the first run work locally with one documented command.
Store all user data locally by default and make export straightforward.
Put secrets in .env, ship .env.example, and never commit credentials.
Implement employees, teams, roles, documents, leave requests, equipment, onboarding tasks, and acknowledgements.
Use least-privilege roles and log every read or change to sensitive records.
Add approval workflows, expiry reminders, export, retention, deletion holds, and encrypted backups.
Keep compensation fields optional and never calculate payroll, taxes, benefits, or statutory filings.
Provide a data dictionary and explain which fields should not be stored without legal review.
Ship Docker Compose, health checks, disaster recovery, and an emergency-access procedure.
Include clear empty, loading, success, and recoverable error states.
Add input validation, safe filenames, and graceful handling of unavailable APIs.
Write focused tests for the core transformation and one end-to-end happy path.
Create a README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure.
Deliberately leave out payroll calculation or money movement.
Deliberately leave out automated hiring decisions or applicant scoring.
Deliberately leave out tax, benefits, immigration, identity, and global-employment compliance.
Finish by running the tests and listing the exact commands used.

## Required capabilities

- PostgreSQL
- private self-hosted deployment
- strict admin access
- documented retention policy

## Delivery order

1. Scaffold the smallest runnable application and document its commands.
2. Implement the primary data model and core workflow.
3. Add validation, safe failure states, and persistence.
4. Cover the critical path with automated tests.
5. Exercise a clean install from the README and fix every missing step.

## Done when

- A new user can go from clone to first successful workflow using only the README.
- The core workflow works without paid infrastructure unless the brief requires it.
- Tests cover the highest-risk behavior.
- Known limitations are explicit rather than hidden.

===== .env.example =====
# Copy to .env and document every variable when it is introduced.
# Never put real credentials in this file.

APP_ENV=development
# Add only values required by the selected implementation.

You are building a lean indie version of Factorial.

Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt.

===== README.md =====
# Factorial indie build

## Goal

Build the smallest trustworthy replacement for the core Factorial workflow for one developer or a tiny team.

## Scope

Track documents, leave, schedules, and onboarding, maintain approvals and records, and export data without calculating payroll or making employment decisions.

## Quick start

1. Install the documented dependencies.
2. Copy `.env.example` to `.env`.
3. Run the development command chosen during implementation.
4. Complete the acceptance checks in `BUILD_PLAN.md`.

## Honest limits

This build deliberately does not replace:
- HR workflows, time, payroll integrations, compliance, analytics, and support
- payroll rails
- tax and labor-law compliance
- benefits integrations
- identity checks and global employment infrastructure

If those capabilities are essential, use Frappe HR instead of pretending the gap is solved.

===== AGENTS.md =====
# Agent instructions

- Optimize for a working, understandable weekend build.
- Prefer the fewest moving parts that satisfy the brief.
- Do not invent cryptography, security guarantees, APIs, or compliance claims.
- Keep secrets out of source control and logs.
- Add focused tests for destructive, security-sensitive, and data-loss paths.
- Run the project checks before declaring the build complete.
- Record any deliberate shortcut in the README under "Tradeoffs".

===== BUILD_PLAN.md =====
# Build plan

## Original build brief

Build a closest honest personal substitute for Factorial in an empty repository.
Use Next.js 15, TypeScript, PostgreSQL, Drizzle ORM, and Docker Compose; do not offer alternative stacks.
The core loop is: track documents, leave, schedules, and onboarding, maintain approvals and records, and export data without calculating payroll or making employment decisions.
Make the first run work locally with one documented command.
Store all user data locally by default and make export straightforward.
Put secrets in .env, ship .env.example, and never commit credentials.
Implement employees, teams, roles, documents, leave requests, equipment, onboarding tasks, and acknowledgements.
Use least-privilege roles and log every read or change to sensitive records.
Add approval workflows, expiry reminders, export, retention, deletion holds, and encrypted backups.
Keep compensation fields optional and never calculate payroll, taxes, benefits, or statutory filings.
Provide a data dictionary and explain which fields should not be stored without legal review.
Ship Docker Compose, health checks, disaster recovery, and an emergency-access procedure.
Include clear empty, loading, success, and recoverable error states.
Add input validation, safe filenames, and graceful handling of unavailable APIs.
Write focused tests for the core transformation and one end-to-end happy path.
Create a README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure.
Deliberately leave out payroll calculation or money movement.
Deliberately leave out automated hiring decisions or applicant scoring.
Deliberately leave out tax, benefits, immigration, identity, and global-employment compliance.
Finish by running the tests and listing the exact commands used.

## Required capabilities

- PostgreSQL
- private self-hosted deployment
- strict admin access
- documented retention policy

## Delivery order

1. Scaffold the smallest runnable application and document its commands.
2. Implement the primary data model and core workflow.
3. Add validation, safe failure states, and persistence.
4. Cover the critical path with automated tests.
5. Exercise a clean install from the README and fix every missing step.

## Done when

- A new user can go from clone to first successful workflow using only the README.
- The core workflow works without paid infrastructure unless the brief requires it.
- Tests cover the highest-risk behavior.
- Known limitations are explicit rather than hidden.

===== .env.example =====
# Copy to .env and document every variable when it is introduced.
# Never put real credentials in this file.

APP_ENV=development
# Add only values required by the selected implementation.

You are building a production product version of Factorial.

Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt.

===== PRODUCT.md =====
# Factorial product brief

## Problem

A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Factorial, track documents, leave, schedules, and onboarding without payroll calculations. The hard boundary is hr workflows, time, payroll integrations, compliance, analytics, and support, plus compliance, payroll, and regulated integrations.

## Product outcome

Track documents, leave, schedules, and onboarding, maintain approvals and records, and export data without calculating payroll or making employment decisions.

## Target user

A serious builder who needs a maintainable product foundation rather than a one-off demo.

## Required capabilities

- PostgreSQL
- private self-hosted deployment
- strict admin access
- documented retention policy

## Explicit non-goals for v1

- HR workflows, time, payroll integrations, compliance, analytics, and support
- payroll rails
- tax and labor-law compliance
- benefits integrations
- identity checks and global employment infrastructure

## Success criteria

- The primary workflow is measurable end to end.
- Setup is reproducible in a clean environment.
- Failure, recovery, and support paths are documented.
- Product claims match what the implementation actually guarantees.

===== ARCHITECTURE.md =====
# Architecture

## Starting brief

Build a closest honest personal substitute for Factorial in an empty repository.
Use Next.js 15, TypeScript, PostgreSQL, Drizzle ORM, and Docker Compose; do not offer alternative stacks.
The core loop is: track documents, leave, schedules, and onboarding, maintain approvals and records, and export data without calculating payroll or making employment decisions.
Make the first run work locally with one documented command.
Store all user data locally by default and make export straightforward.
Put secrets in .env, ship .env.example, and never commit credentials.
Implement employees, teams, roles, documents, leave requests, equipment, onboarding tasks, and acknowledgements.
Use least-privilege roles and log every read or change to sensitive records.
Add approval workflows, expiry reminders, export, retention, deletion holds, and encrypted backups.
Keep compensation fields optional and never calculate payroll, taxes, benefits, or statutory filings.
Provide a data dictionary and explain which fields should not be stored without legal review.
Ship Docker Compose, health checks, disaster recovery, and an emergency-access procedure.
Include clear empty, loading, success, and recoverable error states.
Add input validation, safe filenames, and graceful handling of unavailable APIs.
Write focused tests for the core transformation and one end-to-end happy path.
Create a README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure.
Deliberately leave out payroll calculation or money movement.
Deliberately leave out automated hiring decisions or applicant scoring.
Deliberately leave out tax, benefits, immigration, identity, and global-employment compliance.
Finish by running the tests and listing the exact commands used.

## Boundaries

Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors.

## Production baseline

- Configuration: validated at startup with safe local defaults where possible.
- Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives.
- Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions.
- Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts.
- Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists.
- Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test.

## Decision records

For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it.

===== AGENTS.md =====
# Agent instructions

- Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code.
- Implement milestone by milestone; keep each change reviewable and leave the application runnable.
- Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present.
- Never invent cryptography or silently weaken a requirement to make a test pass.
- Use provider interfaces for external services and deterministic fakes in tests.
- Add migrations and rollback or recovery notes for persistent data changes.
- Log useful operational context without credentials, tokens, passwords, or personal data.
- Update documentation and run all checks before completing a milestone.

===== MILESTONES.md =====
# Delivery milestones

## M0 — Decisions and scaffold

- Confirm the runtime, persistence model, threat boundaries, and deployment target.
- Create a reproducible local environment and continuous checks.

## M1 — Core workflow

- Implement the smallest end-to-end product path with validation and tests.
- Keep integrations behind interfaces.

## M2 — Trust layer

- Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards.
- Test abuse cases and destructive operations.

## M3 — Operability

- Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration.

## M4 — Release gate

- Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise.
- Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations.

===== OPERATIONS.md =====
# Operations

## Before release

- Validate configuration and secrets at startup.
- Define backup, restore, and rollback procedures and test them.
- Document logs, error tracking, health signals, and alert ownership.
- Set dependency update and vulnerability review expectations.

## Incident checklist

1. Contain the issue without destroying evidence or user data.
2. Record the timeline and affected scope.
3. Rotate exposed secrets and revoke compromised sessions or credentials.
4. Restore from a verified source when needed.
5. Document the root cause, remediation, and regression test.

## Launch constraint

Do not market omitted Factorial capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.

# Factorial indie build

## Goal

Build the smallest trustworthy replacement for the core Factorial workflow for one developer or a tiny team.

## Scope

Track documents, leave, schedules, and onboarding, maintain approvals and records, and export data without calculating payroll or making employment decisions.

## Quick start

1. Install the documented dependencies.
2. Copy `.env.example` to `.env`.
3. Run the development command chosen during implementation.
4. Complete the acceptance checks in `BUILD_PLAN.md`.

## Honest limits

This build deliberately does not replace:
- HR workflows, time, payroll integrations, compliance, analytics, and support
- payroll rails
- tax and labor-law compliance
- benefits integrations
- identity checks and global employment infrastructure

If those capabilities are essential, use Frappe HR instead of pretending the gap is solved.

# Agent instructions

- Optimize for a working, understandable weekend build.
- Prefer the fewest moving parts that satisfy the brief.
- Do not invent cryptography, security guarantees, APIs, or compliance claims.
- Keep secrets out of source control and logs.
- Add focused tests for destructive, security-sensitive, and data-loss paths.
- Run the project checks before declaring the build complete.
- Record any deliberate shortcut in the README under "Tradeoffs".

# Build plan

## Original build brief

Build a closest honest personal substitute for Factorial in an empty repository.
Use Next.js 15, TypeScript, PostgreSQL, Drizzle ORM, and Docker Compose; do not offer alternative stacks.
The core loop is: track documents, leave, schedules, and onboarding, maintain approvals and records, and export data without calculating payroll or making employment decisions.
Make the first run work locally with one documented command.
Store all user data locally by default and make export straightforward.
Put secrets in .env, ship .env.example, and never commit credentials.
Implement employees, teams, roles, documents, leave requests, equipment, onboarding tasks, and acknowledgements.
Use least-privilege roles and log every read or change to sensitive records.
Add approval workflows, expiry reminders, export, retention, deletion holds, and encrypted backups.
Keep compensation fields optional and never calculate payroll, taxes, benefits, or statutory filings.
Provide a data dictionary and explain which fields should not be stored without legal review.
Ship Docker Compose, health checks, disaster recovery, and an emergency-access procedure.
Include clear empty, loading, success, and recoverable error states.
Add input validation, safe filenames, and graceful handling of unavailable APIs.
Write focused tests for the core transformation and one end-to-end happy path.
Create a README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure.
Deliberately leave out payroll calculation or money movement.
Deliberately leave out automated hiring decisions or applicant scoring.
Deliberately leave out tax, benefits, immigration, identity, and global-employment compliance.
Finish by running the tests and listing the exact commands used.

## Required capabilities

- PostgreSQL
- private self-hosted deployment
- strict admin access
- documented retention policy

## Delivery order

1. Scaffold the smallest runnable application and document its commands.
2. Implement the primary data model and core workflow.
3. Add validation, safe failure states, and persistence.
4. Cover the critical path with automated tests.
5. Exercise a clean install from the README and fix every missing step.

## Done when

- A new user can go from clone to first successful workflow using only the README.
- The core workflow works without paid infrastructure unless the brief requires it.
- Tests cover the highest-risk behavior.
- Known limitations are explicit rather than hidden.

# Copy to .env and document every variable when it is introduced.
# Never put real credentials in this file.

APP_ENV=development
# Add only values required by the selected implementation.

# Factorial product brief

## Problem

A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Factorial, track documents, leave, schedules, and onboarding without payroll calculations. The hard boundary is hr workflows, time, payroll integrations, compliance, analytics, and support, plus compliance, payroll, and regulated integrations.

## Product outcome

Track documents, leave, schedules, and onboarding, maintain approvals and records, and export data without calculating payroll or making employment decisions.

## Target user

A serious builder who needs a maintainable product foundation rather than a one-off demo.

## Required capabilities

- PostgreSQL
- private self-hosted deployment
- strict admin access
- documented retention policy

## Explicit non-goals for v1

- HR workflows, time, payroll integrations, compliance, analytics, and support
- payroll rails
- tax and labor-law compliance
- benefits integrations
- identity checks and global employment infrastructure

## Success criteria

- The primary workflow is measurable end to end.
- Setup is reproducible in a clean environment.
- Failure, recovery, and support paths are documented.
- Product claims match what the implementation actually guarantees.

# Architecture

## Starting brief

Build a closest honest personal substitute for Factorial in an empty repository.
Use Next.js 15, TypeScript, PostgreSQL, Drizzle ORM, and Docker Compose; do not offer alternative stacks.
The core loop is: track documents, leave, schedules, and onboarding, maintain approvals and records, and export data without calculating payroll or making employment decisions.
Make the first run work locally with one documented command.
Store all user data locally by default and make export straightforward.
Put secrets in .env, ship .env.example, and never commit credentials.
Implement employees, teams, roles, documents, leave requests, equipment, onboarding tasks, and acknowledgements.
Use least-privilege roles and log every read or change to sensitive records.
Add approval workflows, expiry reminders, export, retention, deletion holds, and encrypted backups.
Keep compensation fields optional and never calculate payroll, taxes, benefits, or statutory filings.
Provide a data dictionary and explain which fields should not be stored without legal review.
Ship Docker Compose, health checks, disaster recovery, and an emergency-access procedure.
Include clear empty, loading, success, and recoverable error states.
Add input validation, safe filenames, and graceful handling of unavailable APIs.
Write focused tests for the core transformation and one end-to-end happy path.
Create a README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure.
Deliberately leave out payroll calculation or money movement.
Deliberately leave out automated hiring decisions or applicant scoring.
Deliberately leave out tax, benefits, immigration, identity, and global-employment compliance.
Finish by running the tests and listing the exact commands used.

## Boundaries

Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors.

## Production baseline

- Configuration: validated at startup with safe local defaults where possible.
- Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives.
- Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions.
- Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts.
- Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists.
- Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test.

## Decision records

For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it.

# Agent instructions

- Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code.
- Implement milestone by milestone; keep each change reviewable and leave the application runnable.
- Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present.
- Never invent cryptography or silently weaken a requirement to make a test pass.
- Use provider interfaces for external services and deterministic fakes in tests.
- Add migrations and rollback or recovery notes for persistent data changes.
- Log useful operational context without credentials, tokens, passwords, or personal data.
- Update documentation and run all checks before completing a milestone.

# Delivery milestones

## M0 — Decisions and scaffold

- Confirm the runtime, persistence model, threat boundaries, and deployment target.
- Create a reproducible local environment and continuous checks.

## M1 — Core workflow

- Implement the smallest end-to-end product path with validation and tests.
- Keep integrations behind interfaces.

## M2 — Trust layer

- Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards.
- Test abuse cases and destructive operations.

## M3 — Operability

- Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration.

## M4 — Release gate

- Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise.
- Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations.

# Operations

## Before release

- Validate configuration and secrets at startup.
- Define backup, restore, and rollback procedures and test them.
- Document logs, error tracking, health signals, and alert ownership.
- Set dependency update and vulnerability review expectations.

## Incident checklist

1. Contain the issue without destroying evidence or user data.
2. Record the timeline and affected scope.
3. Rotate exposed secrets and revoke compromised sessions or credentials.
4. Restore from a verified source when needed.
5. Document the root cause, remediation, and regression test.

## Launch constraint

Do not market omitted Factorial capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.

$ choose a build depth, inspect the files, then open the complete pack in your agent · this prompt is generated from the build plan · improve it via PR