One of the highest-value uses of ChatGPT is not writing code. It is helping developers write clearer technical documentation, stronger commit messages, and better pull requests faster.
Where it helps most
- turning rough notes into structured docs
- rewriting vague commit messages into useful ones
- turning a code diff into a clear PR summary
- explaining tradeoffs more cleanly
Good prompt patterns
For documentation: “Turn these rough notes into concise technical documentation for another developer. Keep it concrete and skip marketing language.”
For commits: “Rewrite this commit message so it clearly states what changed and why.”
For PRs: “Draft a pull request summary from these changes. Include user impact, technical changes, and review focus areas.”
What to watch for
- generic filler language
- claims the code change does not actually support
- overpolished text that hides real risk
The best workflow
- write rough notes yourself
- use ChatGPT to improve structure and clarity
- review every claim for accuracy
Why this matters
Good engineering communication saves time for reviewers, teammates, and your future self. AI is especially useful here because the cost of a rough first draft is low, but the payoff from a clean rewrite is high.
Useful next reads
Read How to turn ChatGPT into a daily coding copilot without depending on it too much and The safest way to use ChatGPT with private code and client projects.
Quick FAQ
Should AI write my PR from scratch?
It can draft it, but you should review accuracy and nuance yourself.
Can it improve commit messages well?
Yes, especially when you already provide the core change and intent.