Problem
In a crew pipeline, some reviewers are independent — they all read the same paper and produce independent reviews. Currently they run sequentially, which means an 8-reviewer crew takes 8x the time of a single reviewer.
For the IMC paper crew, reviewers 1-6 are independent (they each read the paper and write a review). Only reviewers 7-8 (meta-reviewer, revision-planner) depend on prior outputs. Running 1-6 in parallel would cut wall-clock time from ~60 minutes to ~10 minutes.
Suggested design
steps:
- id: independent-reviews
parallel:
- id: security-expert
prompt: "Review for security..."
- id: methodology-expert
prompt: "Review for methodology..."
- id: related-work-expert
prompt: "Review for related work..."
- id: meta-review
prompt: "Synthesize: {security-expert} {methodology-expert} {related-work-expert}"
Or in TypeScript:
const crew = pipeline("review")
.parallel([
step("security").prompt("..."),
step("methodology").prompt("..."),
step("related-work").prompt("..."),
])
.step(step("meta").prompt("Synthesize: {security} {methodology} {related-work}"));
Constraints
- Each parallel step needs its own Claude CLI process (the CLI is single-session)
- With Claude Max subscription, parallel processes share the same rate limit
- Need to handle partial failures (what if 2/6 succeed and 4 timeout?)
Impact
For crew pipelines, this is the difference between "run overnight" and "run during lunch." Critical for iteration speed when using crews for paper improvement.
Labels
enhancement, crew, performance
Problem
In a crew pipeline, some reviewers are independent — they all read the same paper and produce independent reviews. Currently they run sequentially, which means an 8-reviewer crew takes 8x the time of a single reviewer.
For the IMC paper crew, reviewers 1-6 are independent (they each read the paper and write a review). Only reviewers 7-8 (meta-reviewer, revision-planner) depend on prior outputs. Running 1-6 in parallel would cut wall-clock time from ~60 minutes to ~10 minutes.
Suggested design
Or in TypeScript:
Constraints
Impact
For crew pipelines, this is the difference between "run overnight" and "run during lunch." Critical for iteration speed when using crews for paper improvement.
Labels
enhancement, crew, performance