Code and dev AI prompts are structured instructions that get models like Claude or GPT to reason about software the way an engineer would. On Prompt Dock they target real tasks: debugging a stack trace, refactoring a messy function, writing unit tests, explaining unfamiliar code, generating regexes, or reviewing a diff for bugs. Because every prompt is human-reviewed before it goes live, you avoid the vague one-liners that produce shallow answers. Free and premium prompts sit side by side, and you can reveal any of them and run it live in the Playground against a snippet before you drop it into your workflow.
18 prompts
Paste a cryptic error from a stack you're new to and get a plain-language explanation of what actually went wrong, why, and the concrete steps to fix it. A patient mentor for the moment the terminal yells at you in a language you don't speak yet.
Hand it an old function and your target language version, and get a modern rewrite that keeps the exact same behavior — with each change explained and every risky spot where old and new could diverge called out before you merge it.
Turn a raw incident timeline into a blameless postmortem with a real root cause, contributing factors, and action items that each have an owner and a trigger — the document a team can act on rather than file away.
Paste a test that passes locally and fails in CI, plus the CI log, and get a ranked diagnosis of why it is flaky — timing, shared state, ordering, or environment — with the specific fix for each and a way to prove the flake is gone.
Paste a wall of generic type errors and get the ONE real mismatch that caused the cascade, explained in plain terms, plus the minimal annotation that fixes it — without resorting to `any` or casting the problem away.
Give it a slow query and your schema, and it returns a faster rewrite with a clear explanation of why the original was slow and exactly which index to add. Built for the moment a dashboard times out and you need the fix, not a lecture.
Describe a schedule in plain English and get the correct cron expression back, plus a sanity check that spells out exactly when it will and won't fire. No more guessing at five fields or shipping a job that quietly runs at the wrong hour.
Turn a feature idea into a focused one-page technical design — the problem, who it's for, the approach, the key tradeoffs, and what could go wrong. The doc that gets a team aligned before anyone writes code, without ballooning into a novel.
Describe a schema migration and your table sizes, and it tells you what locks, how long, whether it is safe during traffic, and the zero-downtime sequence to use instead — before you find out in production.
Give it two versions of an API schema and it reports every breaking change for consumers, separated from the safe additive ones, with the migration note and deprecation window each break needs before you ship it.
Hand it one function and it writes a complete, readable test suite in your framework — happy path, edge cases, boundary values, and error handling — with clear names and no redundant assertions. A fast way to lock in behavior before you refactor or ship.
Paste a failing stack trace and the code behind it, and get back the smallest snippet that still reproduces the bug, a confident root-cause diagnosis, and the fix. It strips away everything irrelevant so the real problem is obvious in seconds instead of buried in noise.
Paste any regular expression and get a plain-English walkthrough of exactly what it matches, token by token, plus the edge cases and inputs it quietly fails on. Turns a wall of symbols into something you can actually reason about and trust.
Feed it a diff and it writes one clean Conventional Commit — a scoped, properly typed subject line plus a body that explains what changed and why. Keeps your history readable and your changelog tooling happy without the mental overhead.
Describe your stack and get a minimal, secure, production-ready multi-stage Dockerfile, with each stage explained so you know what it does and why. Optimized for small images and a tight build, not a copy-paste that bloats and breaks in CI.
Drop in a diff and get a focused review covering correctness, readability, security, and missing tests. Every comment is specific and severity-tagged, so you can tell a blocking bug from a nitpick at a glance and merge with confidence.
Paste tangled, side-effect-heavy code and get it reshaped into small, well-named pure functions that preserve the exact observable behavior. Easier to read, far easier to test, and a clean base for whatever you build on top of it next.
Name a method, path, and framework, and get a clean, production-shaped endpoint with typed request and response models, input validation, sensible error handling, and a test. The boilerplate is done, so you can go straight to the real logic.
Prompt Dock's Code & Dev category collects them, and each prompt is human-reviewed before it publishes. You can reveal the full text, check the recommended model, and run it in the Playground on a real snippet, so you confirm it handles debugging or refactoring the way you need before relying on it.
Claude and GPT are both strong for code; Claude tends to excel at reading large files and explaining logic, GPT at quick generation. Each Code & Dev prompt lists a recommended model, and running it in the Playground lets you compare outputs on your own code before committing to one.
Yes. The category includes prompts built specifically for debugging error messages, refactoring for readability, adding tests, and doing code review. Reveal the prompt, paste your code into the Playground, and run it live to see the fix or explanation on your actual codebase rather than a generic example.