How to overcome Codex's performance bottleneck when dealing with large codebases?

2025-08-25

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Large-scale code base optimization strategies

The following measures can be taken to address the challenges posed by the size of the code base:

Modular loading::
1. Splitting submodules with .gitmodules
2. Limit the scope of operation in the directive (e.g. -scope=src/auth)
3. Load necessary files using sparse checkout
Cache Optimization::
- Pre-built persistence sandbox environment
- Retain resident dependencies (e.g., virtual environments)
- Configure dependency mirrors to accelerate downloads
task segmentation: Break down large tasks into:
- Staged treatment (analyze first → repair later)
- Parallel execution by functional module
- Preservation of intermediate state through the checkpoint mechanism

Technical level recommendations:

Add index file descriptions to AGENTS.md to help Codex quickly locate the
Enable the -shallow-clone parameter for projects with more than 100,000 lines of code
Monitor CPU/memory usage of the sandbox and upgrade container specifications if necessary