Lesson 387 of 2116
Parallel Codex Workflows Without Collisions
Codex cloud can work in the background and in parallel. Learn how to split tasks so multiple agents do not trample the same files.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1Parallelism Is a Coordination Problem
- 2parallel agents
- 3work partitioning
- 4merge conflicts
Concept cluster
Terms to connect while reading
Section 1
Parallelism Is a Coordination Problem
Codex cloud makes it tempting to launch ten tasks at once. That only works when each task has a clear write lane. Parallel agents are powerful when their file ownership is disjoint and painful when they all touch the same shared component.
Compare the options
| Good split | Bad split |
|---|---|
| Worker A updates API route, Worker B updates docs | Both workers refactor the same auth helper |
| One task audits content, one task fixes lint | Five tasks all 'modernize the dashboard' |
| One branch per feature flag | One branch per vague product idea |
| Independent smoke checks | Competing formatting changes |
- 1Split by ownership boundary: route, package, page, data file, or test suite.
- 2Tell each task which files it may edit.
- 3Keep one integration branch or PR queue for final assembly.
- 4Run the full build only after merged integration, not after every tiny parallel task.
- 5Prefer review-only agents when write lanes overlap.
The important part is the write lane, not the number of agents.
Parallel split:
Task 1: Add lessons in src/content/lessons/openai-codex.json only.
Task 2: Add matching quizzes in src/content/quizzes/end-openai-codex.json only.
Task 3: Review content for stale OpenAI model names; do not edit.
Integration: one human or lead agent validates schema and build.Key terms in this lesson
The big idea: parallel Codex work is not magic throughput. It is project management with faster workers.
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