Vibecode Jira

You are building a lean indie version of Jira.

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 =====
# Jira indie build

## Goal

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

## Scope

Track a small software team's issues from backlog through sprint and release with custom workflow states, assignments, comments, filters, and an auditable activity history.

## 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:
- the Atlassian Marketplace and its long tail of organization-specific apps
- deep two-way integrations with source control, chat, support, and CI systems
- advanced roadmaps, reporting, automation, and cross-project dependency planning
- enterprise identity, permissions, audit, data residency, and support guarantees
- migration fidelity for years of custom fields, workflows, links, and issue history

If those capabilities are essential, use Plane 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 small-team replacement for Jira in an empty repository.
Use Next.js 15, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, and Docker Compose; do not offer alternative stacks.
The core loop is: move software issues from backlog through sprint and release while preserving ownership, discussion, and history.
Make the first run work locally with one documented command.
Store all application data in PostgreSQL and provide JSON and CSV exports.
Put secrets in .env, ship .env.example, and never commit credentials.
Implement workspaces, projects, members, issue types, workflow states, labels, components, versions, and two-week sprints.
Give every issue a stable project-prefixed key such as WEB-142, a Markdown body, priority, assignee, estimate, due date, and parent link.
Provide backlog, list, kanban, active sprint, and release views backed by one canonical issue model.
Support drag ordering, bulk edits, comments, mentions, watchers, attachments, and a complete activity log.
Implement owner, member, and viewer roles and enforce permissions on every mutation.
Add full-text search, saved filters, and a small query syntax for project, status, assignee, label, and sprint.
Implement limited automation with issue-created, status-changed, and sprint-started triggers plus assign, label, and transition actions.
Add one-way GitHub issue import and link pull requests by issue key; document the token scope.
Ship database migrations, seed data, health checks, daily backup instructions, and an admin recovery command.
Include clear empty, loading, success, conflict, and recoverable error states.
Write focused tests for workflow transitions and permissions plus one end-to-end sprint happy path.
Create a README covering setup, architecture, data location, imports, exports, permissions, and backups.
Do not add billing, telemetry, analytics, or a hosted control plane.
Deliberately leave out the Atlassian Marketplace and hundreds of external integrations.
Deliberately leave out enterprise roadmaps, SSO, data residency, and native mobile clients.
Finish by running validation, tests, and the production build and list the exact commands used.

## Required capabilities

- Docker
- PostgreSQL
- self-hosted server
- email credentials for invitations and notifications
- GitHub token for optional repository sync

## 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 Jira.

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 =====
# Jira indie build

## Goal

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

## Scope

Track a small software team's issues from backlog through sprint and release with custom workflow states, assignments, comments, filters, and an auditable activity history.

## 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:
- the Atlassian Marketplace and its long tail of organization-specific apps
- deep two-way integrations with source control, chat, support, and CI systems
- advanced roadmaps, reporting, automation, and cross-project dependency planning
- enterprise identity, permissions, audit, data residency, and support guarantees
- migration fidelity for years of custom fields, workflows, links, and issue history

If those capabilities are essential, use Plane 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 small-team replacement for Jira in an empty repository.
Use Next.js 15, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, and Docker Compose; do not offer alternative stacks.
The core loop is: move software issues from backlog through sprint and release while preserving ownership, discussion, and history.
Make the first run work locally with one documented command.
Store all application data in PostgreSQL and provide JSON and CSV exports.
Put secrets in .env, ship .env.example, and never commit credentials.
Implement workspaces, projects, members, issue types, workflow states, labels, components, versions, and two-week sprints.
Give every issue a stable project-prefixed key such as WEB-142, a Markdown body, priority, assignee, estimate, due date, and parent link.
Provide backlog, list, kanban, active sprint, and release views backed by one canonical issue model.
Support drag ordering, bulk edits, comments, mentions, watchers, attachments, and a complete activity log.
Implement owner, member, and viewer roles and enforce permissions on every mutation.
Add full-text search, saved filters, and a small query syntax for project, status, assignee, label, and sprint.
Implement limited automation with issue-created, status-changed, and sprint-started triggers plus assign, label, and transition actions.
Add one-way GitHub issue import and link pull requests by issue key; document the token scope.
Ship database migrations, seed data, health checks, daily backup instructions, and an admin recovery command.
Include clear empty, loading, success, conflict, and recoverable error states.
Write focused tests for workflow transitions and permissions plus one end-to-end sprint happy path.
Create a README covering setup, architecture, data location, imports, exports, permissions, and backups.
Do not add billing, telemetry, analytics, or a hosted control plane.
Deliberately leave out the Atlassian Marketplace and hundreds of external integrations.
Deliberately leave out enterprise roadmaps, SSO, data residency, and native mobile clients.
Finish by running validation, tests, and the production build and list the exact commands used.

## Required capabilities

- Docker
- PostgreSQL
- self-hosted server
- email credentials for invitations and notifications
- GitHub token for optional repository sync

## 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 Jira.

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 =====
# Jira product brief

## Problem

Issues, workflows, a backlog, sprints, and a board are a credible multi-day build for one small team. The replacement stops being small when Jira is the company's system of record: custom schemes, permissions, automation, reporting, marketplace apps, two-way integrations, and years of workflow history are the product people are actually paying not to migrate.

## Product outcome

Track a small software team's issues from backlog through sprint and release with custom workflow states, assignments, comments, filters, and an auditable activity history.

## Target user

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

## Required capabilities

- Docker
- PostgreSQL
- self-hosted server
- email credentials for invitations and notifications
- GitHub token for optional repository sync

## Explicit non-goals for v1

- the Atlassian Marketplace and its long tail of organization-specific apps
- deep two-way integrations with source control, chat, support, and CI systems
- advanced roadmaps, reporting, automation, and cross-project dependency planning
- enterprise identity, permissions, audit, data residency, and support guarantees
- migration fidelity for years of custom fields, workflows, links, and issue history

## 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 small-team replacement for Jira in an empty repository.
Use Next.js 15, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, and Docker Compose; do not offer alternative stacks.
The core loop is: move software issues from backlog through sprint and release while preserving ownership, discussion, and history.
Make the first run work locally with one documented command.
Store all application data in PostgreSQL and provide JSON and CSV exports.
Put secrets in .env, ship .env.example, and never commit credentials.
Implement workspaces, projects, members, issue types, workflow states, labels, components, versions, and two-week sprints.
Give every issue a stable project-prefixed key such as WEB-142, a Markdown body, priority, assignee, estimate, due date, and parent link.
Provide backlog, list, kanban, active sprint, and release views backed by one canonical issue model.
Support drag ordering, bulk edits, comments, mentions, watchers, attachments, and a complete activity log.
Implement owner, member, and viewer roles and enforce permissions on every mutation.
Add full-text search, saved filters, and a small query syntax for project, status, assignee, label, and sprint.
Implement limited automation with issue-created, status-changed, and sprint-started triggers plus assign, label, and transition actions.
Add one-way GitHub issue import and link pull requests by issue key; document the token scope.
Ship database migrations, seed data, health checks, daily backup instructions, and an admin recovery command.
Include clear empty, loading, success, conflict, and recoverable error states.
Write focused tests for workflow transitions and permissions plus one end-to-end sprint happy path.
Create a README covering setup, architecture, data location, imports, exports, permissions, and backups.
Do not add billing, telemetry, analytics, or a hosted control plane.
Deliberately leave out the Atlassian Marketplace and hundreds of external integrations.
Deliberately leave out enterprise roadmaps, SSO, data residency, and native mobile clients.
Finish by running validation, tests, and the production build and list 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 Jira capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.

# Jira indie build

## Goal

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

## Scope

Track a small software team's issues from backlog through sprint and release with custom workflow states, assignments, comments, filters, and an auditable activity history.

## 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:
- the Atlassian Marketplace and its long tail of organization-specific apps
- deep two-way integrations with source control, chat, support, and CI systems
- advanced roadmaps, reporting, automation, and cross-project dependency planning
- enterprise identity, permissions, audit, data residency, and support guarantees
- migration fidelity for years of custom fields, workflows, links, and issue history

If those capabilities are essential, use Plane 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 small-team replacement for Jira in an empty repository.
Use Next.js 15, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, and Docker Compose; do not offer alternative stacks.
The core loop is: move software issues from backlog through sprint and release while preserving ownership, discussion, and history.
Make the first run work locally with one documented command.
Store all application data in PostgreSQL and provide JSON and CSV exports.
Put secrets in .env, ship .env.example, and never commit credentials.
Implement workspaces, projects, members, issue types, workflow states, labels, components, versions, and two-week sprints.
Give every issue a stable project-prefixed key such as WEB-142, a Markdown body, priority, assignee, estimate, due date, and parent link.
Provide backlog, list, kanban, active sprint, and release views backed by one canonical issue model.
Support drag ordering, bulk edits, comments, mentions, watchers, attachments, and a complete activity log.
Implement owner, member, and viewer roles and enforce permissions on every mutation.
Add full-text search, saved filters, and a small query syntax for project, status, assignee, label, and sprint.
Implement limited automation with issue-created, status-changed, and sprint-started triggers plus assign, label, and transition actions.
Add one-way GitHub issue import and link pull requests by issue key; document the token scope.
Ship database migrations, seed data, health checks, daily backup instructions, and an admin recovery command.
Include clear empty, loading, success, conflict, and recoverable error states.
Write focused tests for workflow transitions and permissions plus one end-to-end sprint happy path.
Create a README covering setup, architecture, data location, imports, exports, permissions, and backups.
Do not add billing, telemetry, analytics, or a hosted control plane.
Deliberately leave out the Atlassian Marketplace and hundreds of external integrations.
Deliberately leave out enterprise roadmaps, SSO, data residency, and native mobile clients.
Finish by running validation, tests, and the production build and list the exact commands used.

## Required capabilities

- Docker
- PostgreSQL
- self-hosted server
- email credentials for invitations and notifications
- GitHub token for optional repository sync

## 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.

# Jira product brief

## Problem

Issues, workflows, a backlog, sprints, and a board are a credible multi-day build for one small team. The replacement stops being small when Jira is the company's system of record: custom schemes, permissions, automation, reporting, marketplace apps, two-way integrations, and years of workflow history are the product people are actually paying not to migrate.

## Product outcome

Track a small software team's issues from backlog through sprint and release with custom workflow states, assignments, comments, filters, and an auditable activity history.

## Target user

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

## Required capabilities

- Docker
- PostgreSQL
- self-hosted server
- email credentials for invitations and notifications
- GitHub token for optional repository sync

## Explicit non-goals for v1

- the Atlassian Marketplace and its long tail of organization-specific apps
- deep two-way integrations with source control, chat, support, and CI systems
- advanced roadmaps, reporting, automation, and cross-project dependency planning
- enterprise identity, permissions, audit, data residency, and support guarantees
- migration fidelity for years of custom fields, workflows, links, and issue history

## 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 small-team replacement for Jira in an empty repository.
Use Next.js 15, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, and Docker Compose; do not offer alternative stacks.
The core loop is: move software issues from backlog through sprint and release while preserving ownership, discussion, and history.
Make the first run work locally with one documented command.
Store all application data in PostgreSQL and provide JSON and CSV exports.
Put secrets in .env, ship .env.example, and never commit credentials.
Implement workspaces, projects, members, issue types, workflow states, labels, components, versions, and two-week sprints.
Give every issue a stable project-prefixed key such as WEB-142, a Markdown body, priority, assignee, estimate, due date, and parent link.
Provide backlog, list, kanban, active sprint, and release views backed by one canonical issue model.
Support drag ordering, bulk edits, comments, mentions, watchers, attachments, and a complete activity log.
Implement owner, member, and viewer roles and enforce permissions on every mutation.
Add full-text search, saved filters, and a small query syntax for project, status, assignee, label, and sprint.
Implement limited automation with issue-created, status-changed, and sprint-started triggers plus assign, label, and transition actions.
Add one-way GitHub issue import and link pull requests by issue key; document the token scope.
Ship database migrations, seed data, health checks, daily backup instructions, and an admin recovery command.
Include clear empty, loading, success, conflict, and recoverable error states.
Write focused tests for workflow transitions and permissions plus one end-to-end sprint happy path.
Create a README covering setup, architecture, data location, imports, exports, permissions, and backups.
Do not add billing, telemetry, analytics, or a hosted control plane.
Deliberately leave out the Atlassian Marketplace and hundreds of external integrations.
Deliberately leave out enterprise roadmaps, SSO, data residency, and native mobile clients.
Finish by running validation, tests, and the production build and list 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 Jira 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