code2prompt — Turn Repos into LLM-Ready Prompts

Practical Notes

• Quant: run on 2 repos and compare output size (chars/tokens) before/after adding ignore rules.
• Quant: keep a baseline prompt snapshot and diff it weekly to spot context drift.

Pattern: context as an artifact

Treat the generated prompt like a build artifact:

• Check it into a scratch folder (or attach to PRs) when you need reproducibility.
• Add ignore rules aggressively to keep noise down.
• Prefer smaller, task-scoped prompts over one giant dump.

Agent workflow tip

Use code2prompt as a pre-step before:

• running an agent to refactor,
• generating docs,
• or doing security review of changes.

If you record the prompt file, you can replay the same context across models and compare results.

FAQ

Q: Is this only a CLI? A: No. The repo describes a wider ecosystem, but the CLI alone is already useful for most workflows.

Q: How do I reduce prompt size? A: Add ignores and scope to a subdirectory; prioritize only the files needed for the task.

Q: Can I use it for reviews? A: Yes—generate a snapshot prompt and attach it to a PR so reviewers/agents share the same context.