7 AI Prompts That Save Me 10+ Hours Every Week as a Developer (Copy-Paste Ready) A developer tracked AI prompts for 30 days and identified seven that save at least 10 hours per week. The prompts cover code explanation, debugging, test generation, refactoring, code review, documentation, and commit messages, each with structured slots for specific inputs. 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: