Release 0.83.1: Strategic Documentation Framework

We’re pleased to announce version 0.83.1 of the Screeps GPT autonomous bot.

What’s New

New Features

  • Strategic Documentation Framework: Created comprehensive strategic documentation structure for tracking bot development phases and capturing learning insights
    • Created docs/strategy/ directory with phases/, learning/, and decisions/ subdirectories
    • Created strategic roadmap (docs/strategy/roadmap.md) documenting current phase status (Phase 1: 85%, Phase 2: 60%, Phase 3: 100%, Phase 4: 50%, Phase 5: 100%)
    • Documented success metrics, blockers (telemetry #791, container placement #783), and milestones
    • Created phase-specific documentation for all 5 development phases:
      • Phase 1: Foundation (RCL 1-2) - Bootstrap, basic economy, container harvesting
      • Phase 2: Core Framework (RCL 3-4) - Task system, spawn queue, link network
      • Phase 3: Advanced Economy (RCL 6-8) - Remote harvesting, terminal, labs, factory
      • Phase 4: Empire Coordination - Combat, traffic, expansion, multi-room logistics
      • Phase 5: Multi-Room & Global Management - Colony management, analytics, inter-shard communication
    • Migrated learning insights from CHANGELOG.md to structured documentation:
      • Bootstrap phase implementation pattern (v0.44.0) - Harvester-focused early-game optimization
      • Container-based harvesting pattern (v0.54.0) - Role specialization for efficiency
      • Round-robin task scheduling pattern (v0.57.1) - CPU fairness preventing creep starvation
    • Created Architectural Decision Records (ADR) template and guidelines
    • Updated AGENTS.md to reference strategic documentation in knowledge base
    • Updated README.md strategy section with links to roadmap, phases, learning insights, and ADRs
    • Enables strategic planning agent to analyze bot progression objectively
    • Captures institutional knowledge preventing repeated failed approaches
    • Provides context for autonomous agents making improvement decisions
  • Overmind Architecture Research: Comprehensive analysis of Overmind bot patterns for potential integration
    • Created research documentation in docs/research/overmind-analysis.md
    • Identified 12 key architectural patterns with compatibility assessments
    • Documented quick wins: Task Persistence, Decorator-Based Caching, Directive System
    • Prioritized implementation roadmap with complexity and value estimates
    • Linked patterns to existing issues (#478, #487, #494, #392, #426, #493, #607, #614)
    • Added recommendations to TASKS.md for phased implementation
    • Total of 10 prioritized patterns spanning Phases 2-5
    • Focused on high-value areas: CPU optimization, task management, multi-room scaling

Full Changelog: 0.83.1 on GitHub