claude-memory/graph/solutions/agent-swarm-wave-parallelism-for-rust-implementation-with-co-3ecd87.md
2026-02-27 23:06:27 -06:00

2.6 KiB

id type title tags importance confidence created updated relations
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 2026-02-28T05:06:27.264870+00:00
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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 variantresponse.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.