I tracked every AI prompt I used for 30 days straight. Most were throwaway. But seven of them came back over and over — and together they save me at least 10 hours a week.
These aren't "act as a senior developer" fluff. They're specific, structured prompts with slots you fill in. Copy them, paste them, edit the [bracketed]
parts.
Let's go.
We all inherit code we didn't write. Instead of tracing through 300 lines line-by-line:
Explain what this code does, step by step. Focus on:
1. The overall purpose
2. The data flow (inputs → transformations → outputs)
3. Any side effects or external calls
4. Edge cases it handles (or misses)
Code:
[paste code here]
Why it works: You're forcing a structured breakdown instead of a rambling summary. The "edge cases it misses" line alone catches bugs you'd otherwise find in production.
Stop pasting error messages and hoping. Give the model the context it needs:
I'm getting this error:
[paste error + stack trace]
Here's the relevant code:
[paste code]
What I expected: [describe expected behavior]
What I tried already: [list attempts]
Walk me through the most likely root causes, ranked by probability.
For the top cause, give me the smallest fix that doesn't break other things.
Why it works: Ranking by probability stops the model from leading you down rabbit holes. "Smallest fix" prevents it from rewriting your whole function.
Writing tests is the most-skipped part of development. Make it frictionless:
Write unit tests for this function using [pytest / Jest / your framework].
Cover:
- The happy path
- Empty/null/zero inputs
- Boundary values
- One error/exception case
Use table-driven tests where it makes sense.
Don't mock anything unless absolutely necessary.
Function:
[paste function]
Why it works: The constraint "don't mock unless necessary" keeps tests meaningful — over-mocked tests give false confidence. Table-driven tests keep the output compact and readable.
Refactor this code for readability and maintainability, WITHOUT changing behavior.
Constraints:
- Keep the same public API / function signatures
- Preserve all existing behavior
- Prioritize clarity over cleverness
Then tell me:
1. What you changed and why
2. What you intentionally left alone
Code:
[paste code]
Why it works: "Tell me what you left alone" is the secret. It stops over-refactoring and forces the model to justify each change — so you can sanity-check it.
Before you open a PR, review your own diff:
Review this code change as a thorough senior engineer. Check for:
- Logic bugs or race conditions
- Security issues (injection, auth, secrets)
- Performance gotchas (N+1 queries, unnecessary allocations)
- Missing error handling
- Anything that would block this in a real PR
Be specific. Cite line numbers. Rate severity (critical / major / minor).
Diff:
[paste diff or code]
Why it works: Self-review catches the obvious stuff before a human reviewer sees it — which means faster merge times and fewer review round-trips.
Turn this function/module into clean developer documentation.
Include:
- A one-line summary
- A "Parameters" table (name, type, description)
- A "Returns" section
- A minimal usage example
- 1-2 gotchas if relevant
Keep it under 150 words. No marketing language.
Code:
[paste code]
Why it works: Documentation nobody writes is documentation nobody reads. A 150-word cap keeps it tight enough that it actually gets merged.
Write a conventional commit message for this diff.
Format: <type>(<scope>): <subject>
Types: feat, fix, refactor, docs, test, chore, perf
Rules:
- Subject line under 50 chars, imperative mood
- Add a body ONLY if the "why" isn't obvious
- No fluff, no "updated code"
Diff:
[paste diff]
Why it works: Consistent commit history makes git log
and git blame
actually useful. This takes 5 seconds and pays off forever.
Having the prompts is step one. The real productivity gain comes from keeping them one keystroke away:
User Snippets
, JetBrains Live Templates). Type bugprompt
, hit Tab, done.If you want a jumpstart, I put together
10 of my most-used prompts as a free downloadable pack— formatted, categorized, and ready to paste into your snippet tool:👉
[10 AI Prompts That Save Me 5 Hours Every Week — Free](Just enter your email — it's the free one. If you want the full 330-prompt library covering coding, writing, marketing, and automation, that's here:
[AI Prompt Master Library].)
The productivity win isn't from any single prompt. It's from removing friction — turning a 3-minute "how do I phrase this?" into a 3-second paste.
Start with one. I'd pick the bug-hunting prompt (#2). Track how much time it saves you this week. Then add another.
The compounding is real. Ten hours a week is 500+ hours a year. That's a side project, a certification, or just... your evenings back.
What's the one AI prompt you use every day? Drop it in the comments — I'm always adding to my library.
If this was useful, the reactions and bookmarks help more people find it. 🙏