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SPRINT-TIMELINE.md

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GSL Sprint Timeline and Version Tagging

Below is a sprint timeline for the development of GSL's beta application, tailored to the specific features provided.

Sprint 0: Initialization

Duration: 1 week

  • Set up version control (e.g., Git) and project management tools.
  • Establish communication channels and protocols for team collaboration.

Tag: v0.0.1-setup

Sprint 1: Conceptualization and Design

Duration: 2 weeks

  • Define scope and specifications for Smart AI Software/Hardware features.
  • Identify key Natural Problem Points that the software needs to address.
  • Start documentation and frameworks for Open-Source Projects contributions.
  • Create initial designs and concepts for Flashlabor.

Tag: v0.1.0-alpha

Sprint 2: Development Environment and Foundations

Duration: 2 weeks

  • Set up development environment for Smart AI and hardware simulations.
  • Develop foundational code repositories and guidelines for open-source collaboration.
  • Outline labor management feature requirements.
  • Implement basic framework for Hyperautomation features.

Tag: v0.2.0-alpha

Sprint 3: Core Development Kickstart

Duration: 4 weeks

  • Initiate core module development for Smart AI algorithms.
  • Design and prototype user interfaces for Labor Management and Flashlabor modules.
  • Integrate a solutions database for identified Natural Problem Points.
  • Foster the Open-Source Community and Collaboration foundations.

Tag: v0.3.0-alpha

Sprint 4: Prototype Iteration and Feedback

Duration: 3 weeks

  • Iterate on Smart AI prototypes based on internal testing feedback.
  • Expand Labor Management system with time tracking and scheduling.
  • Develop basic functionalities for Hyperautomation tasks.
  • Publish initial open-source projects and invite community contributions.

Tag: v0.4.0-alpha

Sprint 5: Minimum Viable Product (MVP) Development

Duration: 4 weeks

  • Finalize MVP of Smart AI software with essential features implemented.
  • Implement critical problem-solving actions in Flashlabor.
  • Solidify labor management features with employee self-service portals.
  • Enhance Hyperautomation with workflow automation capabilities.

Tag: v0.5.0-beta

Sprint 6: Testing and Quality Assurance

Duration: 3 weeks

  • Conduct comprehensive testing across all GSL features.
  • Perform code reviews and security audits for the open-source contributions.
  • Engage with potential users for feedback on the MVP.
  • Refine user experience and interface design based on testing results.

Tag: v0.6.0-beta

Sprint 7: Pre-Launch Adjustments

Duration: 2 weeks

  • Address issues and incorporate user feedback from MVP testing.
  • Stabilize the software/hardware integration.
  • Optimize performance and scalability of Hyperautomation features.
  • Polish and document open-source contribution guidelines.

Tag: v0.7.0-beta

Sprint 8: Beta Launch Preparation

Duration: 2 weeks

  • Prepare marketing materials and beta launch announcements.
  • Set up monitoring and analytics systems for post-launch evaluation.
  • Conduct final pre-launch checks and bug fixes.
  • Train support staff on the system features and troubleshooting.

Tag: v1.0.0-beta

Sprint 9: Public Beta Launch

Duration: 1 week

  • Launch the GSL public beta to selected user groups.
  • Monitor system performance and collect user feedback in real-time.
  • Prioritize immediate fixes for any critical issues that emerge.

Tag: v1.0.1-beta

Sprint 10: Post-Beta Evaluation and Enhancement

Duration: 4 weeks

  • Analyze user behavior and feedback to identify improvement areas.
  • Expand features based on community requests and collaboration.
  • Continue iterating on AI models for enhanced problem resolution.
  • User test the improvements and prepare for the second beta release (if necessary).

Tag: v1.1.0-beta

Sprint 11: Final Beta Iteration

Duration: 3 weeks

  • Implement last round of feedback and final touches on all GSL features.
  • Ensure scalability and robustness for wider user adoption.
  • Update documentation and prepare for the transition to official release.

Tag: v1.2.0-beta

Sprint 12: Official Release Preparation

Duration: 2 weeks

  • Final QA pass and acceptance testing for release candidates.
  • Finalize release notes and changelog.
  • Pre-launch marketing and community engagement activities.

Tag: v2.0.0

Sprint 13: Official Release and Transition

Duration: 1 week

  • Launch the official version of GSL.
  • Engage with media and press for coverage.
  • Provide support and gather initial feedback post-release.

Tag: v2.0.1

Note: This timeline is an estimation and serves as a blueprint. As the project progresses, it's likely that adjustments will be needed to accommodate changes in scope, feedback, and other unforeseen challenges. It also assumes that there are well-defined goals and understanding of the technologies involved with AI and hyperautomation which may require expert consultations or additional research.