Sprint Planning with MemClaw and Claude Code: Keep Your AI Aligned with Sprint Goals
Store sprint goals in MemClaw so Claude Code always knows what's P0 vs P2. This guide shows how to use MemClaw for sprint planning and priority management.
Sprint Planning with MemClaw: Use AI to Plan Better Sprints with Full Project Context
Sprint planning without context produces generic plans. Sprint planning with full project context — what was completed last sprint, what's blocked, what the team's capacity is — produces plans that actually work. MemClaw gives Claude the context it needs to be a useful sprint planning partner. Set up sprint planning with MemClaw → memclaw.me
What Claude Needs for Sprint Planning
For useful sprint planning, Claude needs to know:
- What was completed last sprint
- What's still in progress or blocked
- The team's capacity (number of developers, sprint length)
- The product roadmap and priorities
- Technical debt that needs addressing
- Dependencies between items Without this context, Claude gives generic advice. With it, Claude can help you make real trade-off decisions.
Setting Up Sprint Context in MemClaw
In your workspace, maintain a sprint section:
Sprint Planning Session
Start of sprint planning
Claude loads your workspace and gives context-aware input:
Handling trade-offs
Claude uses workspace context:
Sprint Retrospective
At the end of each sprint: Claude pulls the sprint history from the workspace:
Getting Started
- Add sprint context to your MemClaw workspace
- Create a /sprint-start slash command
- Run sprint planning with Claude at the start of each sprint
- Run retrospective with Claude at the end Set up sprint planning with MemClaw → memclaw.me