30 Claude Prompts for Software Developers

Claude can be your on‑demand coding companion—whether you need a quick code review, a refactor plan, or help debugging obscure bugs. Below are 30 ready‑to‑paste prompts, grouped by typical dev tasks. Replace the [PLACEHOLDERS] with your own file names, snippets, or error messages, then copy the prompt and feed it to Claude for instant, actionable output.

Code Review

Full‑File Review

You are a senior software engineer. Review the following [LANGUAGE] file for:
- bugs or logical errors
- security concerns
- performance bottlenecks
- adherence to best practices and style guide
Provide a markdown report with line numbers, issue description, severity (low/med/high), and a suggested fix.

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When you have a whole source file and need a concise audit.

Pull‑Request Summary

Summarize the changes in this pull request:
[PASTE DIFF OR GITHUB PR URL]
Highlight:
- New features
- Breaking changes
- Potential regressions
Suggest a short reviewer comment for each major change.

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Great for busy reviewers who need a quick overview.

Security Scan

Scan the following code for security issues (SQL injection, XSS, insecure deserialization, etc.):
[CODE SNIPPET]
List each vulnerability, explain the risk, and give a code‑level fix.

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Use after adding user‑input handling or third‑party libraries.

Refactoring & Optimization

Extract Function

Refactor this block into a reusable function and show the new function definition plus the updated calling code:
[CODE BLOCK]
Use clear naming and add a docstring describing inputs, outputs, and side effects.

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When you notice duplicated logic in a module.

Algorithm Improvement

Improve the time/space complexity of this algorithm while keeping the same output:
[ALGORITHM CODE]
Explain the new complexity and why it’s better.

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Ideal for loops that run O(n²) or higher.

Modernize Legacy Code

Modernize this legacy [LANGUAGE] snippet (e.g., replace callbacks with async/await, use f‑strings, etc.):
[OLD CODE]
Show the updated code and a brief change log.

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Use when migrating a codebase to newer language versions.

Debugging & Error Handling

Stack Trace Interpreter

Explain this stack trace and suggest the most probable cause:
[STACK TRACE]
Provide a step‑by‑step debugging plan.

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Paste the exact console output for fastest results.

Reproduce a Bug

Given the following description of a bug, write a minimal reproducible example in [LANGUAGE]:
[BUG DESCRIPTION]
Include comments indicating where the failure occurs.

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Great for creating test cases before filing an issue.

Exception Handling Boilerplate

Generate robust try/except (or try/catch) blocks for this function, logging errors with stack trace and returning a default value:
[FUNCTION CODE]
Assume we use the standard logging library.

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Add when adding resilience to critical paths.

Documentation & Communication

API Reference Entry

Write a Markdown API reference for this function, including:
- Signature
- Parameter table with types and descriptions
- Return type and description
- Example usage
- Edge‑case notes
[FUNCTION CODE]

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Use after completing a new public method.

Changelog Generator

Generate a changelog entry for version [X.Y.Z] based on these commit messages:
[COMMIT LIST]
Group changes into Added, Fixed, Changed, and Deprecated.

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Helps keep release notes tidy.

Technical Design Summary

Create a concise design doc (max 300 words) for implementing [FEATURE] in a microservice architecture.
Include:
- High‑level flow diagram (ASCII)
- Key interfaces
- Data storage choice
- Failure handling

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Useful for sprint planning or stakeholder reviews.

Testing & CI/CD

Unit Test Skeleton

Write a set of unit tests in [TEST FRAMEWORK] for the following function:
[FUNCTION CODE]
Cover normal cases, edge cases, and error paths. Use descriptive test names.

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Kick‑start test coverage for new modules.

Mocking Strategy

Provide a mocking plan for this integration test scenario:
- External API: https://api.example.com/v1
- Database: PostgreSQL
Show code snippets using [MOCK LIBRARY] to stub network calls and DB queries.

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When external dependencies make tests flaky.

CI Pipeline Step

Write a GitHub Actions step that:
- Lints the code with [LINTER]
- Runs unit tests with coverage report
- Fails on coverage < 80%
Provide the YAML snippet.

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Add to .github/workflows/ci.yml for immediate enforcement.

Pro Tips

• Include concrete examples in the prompt (e.g., a short code snippet) so Claude can see context.
• Specify the desired output format (Markdown, JSON, code block) to avoid re‑formatting.
• Use [PLACEHOLDER] tags consistently; Claude treats them as variables you’ll replace.
• Ask Claude to “explain why” after each suggestion; this deepens understanding and reduces back‑and‑forth.
• Combine prompts: run a review, then feed the “issues list” into a refactor prompt for a streamlined workflow.