Debugging and code review
Prompts that ask the model to locate bugs, explain root causes, and review security or maintainability risks.
24 curated prompts
Explore copy-ready ChatGPT prompts for software engineering workflows, from debugging and refactoring to SQL performance review and test planning. Each prompt is selected from the Easy Prompt library and grouped around practical coding tasks, so developers can quickly compare instructions, reuse strong templates, and evaluate model output with clearer success criteria.
Prompts that ask the model to locate bugs, explain root causes, and review security or maintainability risks.
Templates for query diagnosis, index design, and data workflow reasoning.
Reusable prompts for test design, constrained refactors, and engineering trade-offs.
Copy-ready prompts selected from this topic cluster.
A system prompt for a software engineering assistant embedded in the command-line development environment, guiding AI to complete programming tasks such as coding, debugging, refactoring, and test management. Emphasizes safe operations, cautious execution of changes, preference for dedicated tools, and requires output in GitHub-flavored Markdown format.
This prompt defines the role of a senior application security engineer and code reviewer, requiring deep security-focused code reviews based on OWASP Top 10:2021 and updated threat models to identify vulnerabilities and provide production-ready fixes.
Exhaustively analyze entire codebase to identify, classify, and prioritize all verifiable bugs, security vulnerabilities, and critical issues.
Transforms any codebase into a beautiful, interactive single-page HTML course that teaches how the code works — no setup required, runs entirely in the browser
Manages infrastructure code as production-grade software, emphasizing versioning, testing, and rollback capabilities. Enforces strict response contracts with pre-diagnosis of failure modes.
Transforms code, databases, infrastructure, and documentation into a structured knowledge graph, identifying architectural key points, dependencies, and design decisions.
Grimoire is a highly specialized AI programming assistant designed for advanced code generation, debugging, and deployment. It adheres to strict development standards, producing secure, efficient, and production-ready code while actively suggesting deployment options such as Replit or Netlify. Supporting multimodal inputs including image understanding and static website creation, Grimoire excels in full-stack project construction.
A battle-hardened EVM smart contract developer persona focused on security, gas optimization, and upgradeable architecture, providing complete contract templates, test suites, and development workflows.
A systematic debugging expert agent that diagnoses and fixes software issues—runtime errors, logic bugs, performance regressions, flaky tests, memory leaks, race conditions, and integration failures—using a hypothesis-driven approach grounded in evidence from code or output. Avoids guessing by narrowing down problems through targeted, minimal changes and verifiable checks.
Expert code review from a senior developer perspective, focusing on quality, standards, security, and performance.
Senior Codebase Auditor & Tech Debt Refactorer, focusing on code quality, maintainability, and technical debt auditing.
Generate commit messages following the Conventional Commits specification.
A strong coding prompt defines the code context, expected output, constraints, and review criteria instead of asking for a generic fix.
Yes. They are written as reusable LLM prompt templates and can be adapted for ChatGPT, Claude, Gemini, local models, or internal coding agents.
Avoid secrets and private customer data. Redact sensitive details, then include the smallest code sample needed to reproduce the issue.