claude-memory/graph/solutions/agent-swarm-wave-parallelism-for-rust-implementation-with-co-3ecd87.md

id	type	title	tags	importance	confidence	created	updated
3ecd877b-de73-4afd-b328-b3ee99f5a1e3	solution	Agent swarm wave parallelism for Rust implementation with code review pass	claude-code swarm orchestrator code-review rust sba-scout workflow	0.6	0.8	2026-02-28T04:58:09.031652+00:00	2026-02-28T04:58:09.031652+00:00

Agent Swarm Wave Pattern for Rust Implementation

Used TeamCreate + Agent worktrees for parallel Rust implementation across 3 waves based on dependency graph.

What Worked

• Wave parallelism works well when tasks map to separate files (types.rs, client.rs, importer.rs, sync.rs) — no merge conflicts, each agent owns its file
• Full task descriptions with column mappings and reference file paths let coders work autonomously with zero clarification needed
• All 7 coders produced compiling code on first try — the thorough task specs paid off

Problems Encountered

• Pane limit hit: Got "no space for new pane" error when 6 idle agents from earlier waves were still alive. Shut down idle agents promptly between waves to avoid this.

Code Review Caught Real Bugs

1. Missing #[serde(default)] on 8 TeamData fields — would cause runtime deserialization panics when API returns objects without those optional fields
2. Dead ApiError::Parse variant — response.json() returns reqwest::Error not serde_json::Error, making the Parse variant unreachable. Fix: use response.text() + serde_json::from_str()
3. import_all_cards hard-failing on first missing CSV — changed to resilient independent tries for each CSV

Recommendation

Always run a code review agent after implementation waves, especially for error handling and serde derives. The review ROI was high — caught 3 bugs that would have been runtime failures.