context-management

To preserve context across multiple sessions, a structured context document is created at docs/codingbuddy/context.md. This file captures task descriptions, architecture decisions, and rationale to prevent memory compaction loss during long-running coding tasks.

Maintaining continuity during PLAN, ACT, and EVAL tasks involves appending progress milestones, implementation notes, and quality findings to a persistent context document. This ensures cross-session coherence when resuming work after breaks.

Preventing memory compaction loss requires writing architecture decisions and rationale to a persistent context document during PLAN mode. The document acts as an explicit memory store independent of the AI's finite context window.

Yes, you can use a context document to track progress milestones and quality findings. ACT mode appends modified files and implementation notes, while EVAL mode records security observations and recommendations for the next iteration.

No external dependencies are required to manage cross-session context. The approach relies solely on creating and appending to a structured markdown file at docs/codingbuddy/context.md to preserve critical decisions across sessions.