IssueBridge

Keep GitHub issues and Notion tasks perfectly in sync.

IssueBridge is a single-file CLI tool that synchronizes GitHub issues with a Notion database for small engineering teams and solo builders. It removes manual exports and duplicate task entry by creating, updating, and logging issue-to-task syncs from the command line.

Business Goals

  • Launch an MVP in 5 days with a working end-to-end sync flow and at least 80% automated test coverage.
  • Achieve 10 pilot teams or solo users within 30 days of release.
  • Reach 60% of users completing a successful first sync within their first session.
  • Reduce manual task copying and export/import work by at least 90% for active users within 2 weeks.
  • Maintain fewer than 3% failed sync runs due to product defects during the first 60 days.

User Goals

  • Authenticate to GitHub and Notion without leaving the terminal.
  • Sync open GitHub issues into a Notion database with minimal setup.
  • Run repeat syncs safely without creating duplicate records.
  • See exactly what changed after each sync, including successes and failures.
  • Review logs to diagnose token, permission, or mapping issues quickly.

Non-Goals

  • Two-way real-time collaboration between Notion and GitHub.
  • Full project management features such as sprint planning, burndown charts, or assignments UI.
  • A hosted web app or browser-based dashboard in the MVP.
  • Complex issue triage automation such as labeling rules, AI prioritization, or auto-closure logic.

Solo Founder Priya, 34 - Priya tracks product work in GitHub but uses Notion to brief contractors and keep a lightweight roadmap. She needs a fast way to mirror issues into Notion without admin overhead.

Solo Founder Priya, 34

  • As a solo founder, I want to connect GitHub and Notion from the terminal, so that I can set up syncing in minutes.
  • As a solo founder, I want new GitHub issues to appear in Notion with key fields mapped, so that I can review work in one place.
  • As a solo founder, I want sync errors to be logged clearly, so that I can fix access or mapping issues quickly.

Engineering Manager Leo, 41 - Leo manages a small team that uses GitHub for development and Notion for planning and stakeholder updates. He needs reliable sync runs that do not create duplicate tasks.

Engineering Manager Leo, 41

  • As an engineering manager, I want repeated sync runs to update existing Notion rows instead of duplicating them, so that my database stays clean.
  • As an engineering manager, I want to choose which issue states sync, so that only relevant work appears in Notion.
  • As an engineering manager, I want a summary of created, updated, skipped, and failed records, so that I can trust each run.

Operations Analyst Mina, 29 - Mina supports a team that depends on issue visibility for reporting and cross-functional updates. She needs lightweight logs and predictable output she can share with others.

Operations Analyst Mina, 29

  • As an operations analyst, I want machine-readable logs for each sync, so that I can audit what happened later.
  • As an operations analyst, I want the tool to validate required database fields before syncing, so that broken mappings fail fast.
  • As an operations analyst, I want a dry-run mode, so that I can confirm the mapping before making changes.

Authentication · High priority

  • Support secure OAuth or token-based authentication for GitHub and Notion with local configuration storage.
  • GitHub authentication must support a personal access token or OAuth token loaded from environment variables or local config.
  • Notion authentication must support the integration secret and database access permissions.
  • The CLI must validate token scope and return actionable errors for missing repo or database permissions.
  • Credentials must never be printed in logs or saved in plain text beyond local secure config handling.
  • Auth status should be testable independently for each provider.

Command-Line Interface · High priority

  • Provide a single executable CLI with commands for setup, auth check, sync, dry-run, and log inspection.
  • Commands should include init, auth, sync, dry-run, and logs.
  • The CLI should accept repo, database ID, issue filters, and field mapping via flags or config file.
  • Exit codes must distinguish success, partial success, and fatal errors.
  • Help text must be concise and examples must cover the first-time setup flow.
  • Inputs must be validated before any API calls are made.

Sync Engine · High priority

  • Sync GitHub issues into a Notion database with stable identity mapping and incremental updates.
  • Each GitHub issue must map to one Notion page using a durable external ID field.
  • The sync should create pages for new issues and update existing pages when issue fields change.
  • Support incremental sync based on issue updated_at timestamps and a stored cursor.
  • Handle deleted or closed issues by updating status fields rather than removing rows unless configured otherwise.
  • Detect duplicate mapping conflicts and stop with a clear remediation message.

Logging and Observability · Medium priority

  • Record structured sync results to help users audit runs and diagnose failures.
  • Store one log entry per sync run with counts for created, updated, skipped, and failed items.
  • Emit structured JSON logs to stdout for automation and human-readable summaries for terminal use.
  • Capture provider-specific errors with enough context to debug permission, rate limit, and schema issues.
  • Allow log retention to be configured locally, with a sensible default of the last 50 runs.
  • Include timestamps, command name, repo/database identifiers, and run duration.

Testing · High priority

  • Deliver automated tests covering authentication, mapping, and sync behavior with at least 80% coverage.
  • Write unit tests for GitHub auth validation, Notion auth validation, and CLI argument parsing.
  • Write sync tests for new issue creation, existing issue update, and duplicate prevention.
  • Mock GitHub and Notion APIs for deterministic test runs.
  • Include edge-case tests for empty issue lists, missing fields, and API rate-limit failures.
  • The CI pipeline should fail if coverage falls below 80%.

First-Time Setup

  • Install the CLI from a local build or package manager.
  • Run the init command to create a config file and select GitHub and Notion credentials.
  • Paste or load authentication tokens and verify access to the target repo and database.
  • Map GitHub issue fields to Notion properties with sensible defaults.
  • Run a dry-run to preview changes, then execute the first sync.
  • See first-time value within 2 minutes from install to a successful dry-run or sync.

1. Initialize Configuration

  • The user starts by generating a local config file with repo and database settings.
  • Prompt for GitHub repository and Notion database ID.
  • Validate that required config keys are present before proceeding.
  • Fail fast if the selected database lacks required properties for mapping.

2. Authenticate Providers

  • The tool verifies access to GitHub and Notion before any sync runs.
  • Check GitHub token validity and repo read access.
  • Check Notion integration access to the target database.
  • Return provider-specific error messages for expired tokens, insufficient scopes, or revoked access.

3. Preview Changes

  • Dry-run mode computes the diff without writing to Notion.
  • Show how many issues would be created, updated, or skipped.
  • Display field-level mapping warnings for missing or incompatible values.
  • Support filtering by issue state, labels, and updated-at window.

4. Run Sync

  • The sync command applies changes to Notion and records a run summary.
  • Create or update pages using the external ID mapping.
  • Handle partial failures by continuing on recoverable item-level errors.
  • Use idempotent writes so rerunning the same sync does not duplicate rows.

5. Review Logs

  • The user inspects logs to verify outcomes and troubleshoot problems.
  • Show a concise terminal summary after each run.
  • Allow listing recent sync runs with timestamps and result counts.
  • Support JSON output for piping into other tools.

Power User Features

  • Configurable field mapping for title, status, labels, assignee, URL, and timestamps.
  • Selective sync by repository, label, issue state, or updated-at cursor.
  • Dry-run and strict mode to block writes when required fields are missing.
  • Structured JSON output for CI and automation pipelines.
  • Resume incremental sync from the last successful cursor.
  • Optional ignore rules for archived issues, drafts, or excluded labels.

Terminal UX Principles

  • Clear, color-safe output that remains readable without color support.
  • Progress indicators for authentication, fetching, mapping, and writing.
  • Concise summaries at the end of each command with counts and next actions.
  • Accessible plain-language error messages with remediation steps.
  • Fast startup and streaming output so larger syncs feel responsive.
  • No credential echoing, no noisy stack traces by default, and predictable exit codes.

Priya manages product work in GitHub, but every week she spends time copying issues into Notion so her contractor can see priorities. The process is slow, error-prone, and inconsistent, especially when issue titles or statuses change after the first export.

With IssueBridge, she installs a single CLI, connects GitHub and Notion, and runs a dry-run that confirms her database mapping in under two minutes. The first sync creates clean Notion pages for all open issues, and subsequent runs update only what changed, so her planning stays current without manual exports.

Now Priya uses the terminal to keep both systems aligned. Her team gets a reliable source of truth, she saves hours each month, and the business avoids the hidden cost of stale task tracking and duplicate work.

User-Centric Metrics

  • 80% of first-time users complete a successful dry-run within 5 minutes.
  • 70% of users complete their first full sync in the same session as setup.
  • Less than 5% of sync runs require manual intervention after initial configuration.
  • 90% of synced issues have correct title, status, and URL mapping on first pass.
  • Average sync summary review time is under 30 seconds for standard runs.

Business Metrics

  • 10 pilot users or teams within 30 days of release.
  • 40% week-4 retention among activated users.
  • 25% of activated users run sync at least twice per week.
  • 20% of pilot users convert to paying customers or committed adopters within 60 days.

Technical Metrics

  • 99.5% command availability during the first 90 days.
  • P95 sync command response time under 3 seconds for auth and preview, under 30 seconds for 500 issues.
  • Zero credential leakage in logs or test output.
  • 80% or greater automated test coverage across auth, sync, and CLI logic.

Tracking Plan

  • cli_init_completed
  • auth_github_success
  • auth_notion_success
  • dry_run_completed
  • sync_started
  • sync_completed
  • sync_failed_item
  • log_viewed

Technical Needs

  • Node.js 20 runtime for a portable single-file CLI implementation.
  • TypeScript compiled to a single distributable JavaScript file or bundled package.
  • Minimal dependency set with a command framework such as Commander or oclif.
  • GitHub REST API integration using octokit for issue retrieval and metadata.
  • Notion API integration using the official Notion client or direct HTTPS requests.
  • Test runner such as Vitest or Jest with API mocking via nock or MSW.
  • Structured logging with pino or a lightweight custom logger.

Integration Points

  • GitHub REST API for repository issues and metadata.
  • Notion API for database schema checks and page create/update operations.
  • Environment variables for token-based authentication.
  • Local filesystem for config and sync cursor storage.
  • Optional CI integration in GitHub Actions for automated validation.

Data Storage & Privacy

  • Store only the minimum local config needed for repo, database, field mapping, and last sync cursor.
  • Never persist raw API tokens in logs, analytics, or test fixtures.
  • Support user deletion by removing local config and cached cursors on request.
  • Document that GitHub and Notion data is processed solely for sync purposes and not retained beyond logs and config.
  • Design defaults to align with GDPR and CCPA principles of data minimization and user control.

Scalability & Performance

  • Batch Notion page operations where possible to reduce request overhead.
  • Use pagination for GitHub issue retrieval and incremental cursors for repeated syncs.
  • Cache field mapping and database schema validation per run to avoid repeated calls.
  • Gracefully handle GitHub and Notion rate limits with backoff and retry.

Potential Challenges

  • GitHub and Notion field mismatches can cause sync failures; mitigate with preflight schema validation and clear mapping warnings.
  • Duplicate Notion pages can occur if external IDs are missing; mitigate by making the external ID mandatory and validating it before writes.
  • Rate limits may interrupt large runs; mitigate with pagination, retries, and backoff handling.
  • Permission issues can confuse first-time users; mitigate with explicit auth checks and provider-specific remediation messages.
  • Single-file packaging can become fragile as features grow; mitigate by keeping a modular source layout with a build step that bundles into one file.

Team & resourcing - Small team - 2 engineers, 1 part-time designer, 1 part-time PM.

Phase 1: MVP Foundation · Days 1-2

  • Project scaffold and single-file CLI structure
  • GitHub authentication module in github.js
  • Notion authentication module in notion.js
  • Config loading and basic command parsing in cli.js
  • Initial unit tests for auth validation

Phase 2: Core Sync Flow · Days 3-4

  • Sync engine in sync.js with create/update logic
  • Field mapping between GitHub issues and Notion database properties
  • Dry-run mode and incremental sync cursor
  • Structured result logging in logs.js
  • Mocked API tests for sync scenarios

Phase 3: Hardening and Release Prep · Day 5

  • End-to-end CLI smoke tests
  • Coverage enforcement at 80% or higher
  • Improved error handling and exit codes
  • README or usage output with setup examples
  • Release-ready build artifact and packaging

Phase 4: Post-MVP Enhancements · Weeks 2-4

  • Additional filters and ignore rules
  • JSON output for automation
  • Optional CI workflow examples
  • Better log retention and troubleshooting commands
  • Support for multiple repositories or databases

Paste this into Cursor, Bolt, Lovable, or v0 to start building.

Build a single-file Node.js CLI tool called IssueBridge that syncs GitHub issues into a Notion database.

Product requirements:
Create a terminal app with commands for init, auth check, dry-run, sync, and logs.
Support GitHub authentication and Notion authentication using environment variables and local config.
Fetch GitHub issues from a repository, map them into a Notion database, create new pages, update existing pages, and avoid duplicates using a durable external ID field.
Include incremental sync using a stored cursor based on updated_at.
Provide structured JSON logs plus human-readable summaries after each sync.

Core flows:
First-time setup collects repo, Notion database ID, token values, and field mapping.
Dry-run shows what would change without writing to Notion.
Sync writes changes, handles partial failures, and records run results.
Logs command lists recent runs and supports JSON output.

Data model:
Local config file with github token reference, notion token reference, repo owner/name, database ID, field mapping, sync cursor, and run history path.
Issue mapping fields should include external_id, title, state/status, labels, assignee, issue_url, created_at, updated_at.

Implementation details:
Use Node.js 20, TypeScript, Commander or Oclif, Octokit for GitHub API, the official Notion API client, and Vitest or Jest with mocked network calls.
Organize the source into github.js, notion.js, cli.js, sync.js, and logs.js, then bundle or compile into one distributable file for the final CLI.
Include strong input validation, safe error handling, idempotent writes, clear exit codes, and 80%+ test coverage.
Design for fast startup, readable terminal output, and no credential leakage.

Deliverables:
Working CLI scaffold, provider auth checks, sync engine, logging, tests, and a clean README-style usage output with example commands.

Business Idea

I want to build with Claude Code: Create a single-file CLI tool that syncs my GitHub issues with a Notion database. Tasks: (1) Authenticate with GitHub API (add /github.js), (2) Authenticate with Notion (add /notion.js), (3) Command-line interface (add /cli.js), (4) Sync logic (add /sync.js), (5) Log sync action results (add /logs.js), (6) Write test cases for authentication and sync. Goal: Ship MVP in 5 days with 80% test coverage and zero manual exports required.

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