agent-engine

Autonomous coding across multiple sessions requires a two-phase architecture with initializer and coding agents. This approach provides environment initialization, incremental progress tracking, and cross-session continuity to prevent memory loss during long-running development tasks.

Incremental progress tracking for complex development projects is best handled through standardized logs and structured workflows. This ensures session artifacts are preserved, feature lists are managed step-by-step, and Git commit standards maintain traceability throughout the lifecycle.

Setting up an environment for long-running autonomous coding involves configuring a SKILL.md with YAML frontmatter and optional references, scripts, and assets directories. This structure initializes the workspace and establishes standardized prompts for subsequent coding sessions.

Multi-session coding workflows do support end-to-end testing and Git commit standards. The architecture integrates testing into the incremental development cycle and enforces commit conventions to ensure high-quality, traceable delivery across all autonomous sessions.

A multi-session coding agent should be used instead of a single-session tool when projects require environment initialization, feature decomposition, and step-by-step implementation that exceed context window limits and need continuous cross-session continuity.