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Maintenance Plan: dev-utility-lab

Overview

This document outlines the sustained maintenance strategy for dev-utility-lab to ensure it remains a high-quality, professional open-source project. This plan prevents the repository from becoming a bloated monolith and focuses on stability, code quality, and incremental improvements.

1. Code Quality & Technical Debt

  • Test Coverage: Maintain >90% coverage. Identify edge cases in math and string operations to write more comprehensive parameter-based tests.
  • Type Hinting: Ensure all new features and legacy files strictly adhere to mypy constraints without relying on # type: ignore.
  • Refactoring: Periodically review the dashboard.services layer. Consider abstracting the dispatcher.py logic if the tool registry grows beyond 20 items.
  • Dependency Management: Schedule monthly updates for requirements-dev.txt and Dockerfile base images to ensure security patches are applied.

2. Documentation Hygiene

  • API Documentation: Auto-generate API docs from code docstrings using tools like Sphinx or MkDocs in future iterations.
  • Onboarding: Keep CONTRIBUTING.md and getting-started.md up-to-date with every major workflow change.
  • Changelog: Strictly adhere to Semantic Versioning and maintain a detailed CHANGELOG.md.

3. Issue Triage & Management

  • Bug Reports: Aim for a 48-hour response time on reported bugs.
  • Feature Requests: Evaluate against the core mission: "Lightweight, clean, reusable utilities." Decline features that belong in dedicated micro-repositories.
  • Stale Issues: Implement a stale bot to close inactive issues after 90 days.

4. Release Cadence

  • Minor Releases (Features): Bi-weekly or Monthly.
  • Patch Releases (Bug Fixes): As needed.
  • Major Releases: Annually, requiring significant architectural shifts.

Ongoing Tasks (Pull Request Opportunities)

  1. Refactor: Migrate legacy string formatting to f-strings universally.
  2. Test: Add property-based testing (using libraries like hypothesis) for mathematical functions.
  3. Docs: Add usage examples for every single utility function in the dev_utils library documentation.