Automate Code Review: 24 Stack-Specific CI/CD Prompts

Engineers automate code review with 24 role-specific prompts for backend, frontend, DevOps, and database roles. Save hours per week.

Indie developers and startup engineers spend thousands of dollars on SaaS code review tools (CodeRabbit, Copilot) but lack prompts tailored to their specific stack and built to run in CI/CD pipelines without wasting tokens on generic context. This pack provides 24 role-specific, copy-paste-ready prompts organized in 5 sections: repository context injection (extract git state), role-specific review flows (security, performance, edge cases), CI/CD integration templates (GitHub Actions, GitLab CI, bash), structured output formatting, and 8 stack-specific deep dives per variant. Four variants serve distinct buyer personas: Python/FastAPI backend reviewers (async patterns, type checking, dependency injection), React/TypeScript component builders (prop validation, accessibility, component testing), Terraform infrastructure auditors (drift detection, CIS benchmarks), and database migration checkers (rollback safety, schema versioning). Each prompt is designed to run inside your existing git workflow — inject repository context via bash one-liners, validate output against stack-specific rules, and gate merges without third-party SaaS overhead.

Who this is for

Backend/frontend/DevOps engineers at 5-50-person startups scripting their own CI/CD and allocating $20-50/month to tooling.

Who this is NOT for

Not for teams using managed SaaS code review tools (CodeRabbit, Copilot Code Review), hand-written code reviews, or teams seeking generic 'help me code better' prompts. Not a replacement for human review or static analysis tools.

96 copy-paste prompts across 4 variants.

How to Use: Developer Prompt Pack: CI/CD-Integrated Code Review (4 Stacks)

> Your first useful result in under 5 minutes. This guide shows you exactly what you got, how the prompts work, and how to run them in ChatGPT or Claude.

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What's in This Bundle

| File | What It Is | When to Use It | |---|---|---| | all-prompts.md | Every prompt in one readable document | Browse, search, or print — start here | | python-fastapi-code-reviewer.json | Python/FastAPI Code Reviewer (24 prompts) | Variant-specific prompt set; use for that exact context | | react-typescript-component-builder.json | React/TypeScript Component Builder (24 prompts) | Variant-specific prompt set; use for that exact context | | terraform-infrastructure-auditor.json | Terraform Infrastructure Auditor (24 prompts) | Variant-specific prompt set; use for that exact context | | database-migration-safety-checker.json | Database Migration Safety Checker (24 prompts) | Variant-specific prompt set; use for that exact context | | cover.png | Product thumbnail | Ignore this one — it's for the store listing |

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Quick Start (3 Steps)

Step 1 — Open all-prompts.md

Open this file in any text editor, Notion, Obsidian, or even a browser. It's plain text — no special software needed.

Scan the section headings to find the category that matches your situation right now.

> Tip: Use Ctrl+F (or Cmd+F on Mac) to search for a keyword to jump straight to relevant prompts.

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Step 2 — Pick a Prompt and Fill in the Variables

Every prompt contains one or more {{VARIABLE}} placeholders — these are instructions to you, not to the AI.

Replace each {{VARIABLE}} with your real information before pasting.

Example — before: ``` Analyze the following system: {{ARCHITECTUREDESCRIPTION}} within {{BUSINESSCONTEXT}}. ```

Example — after (paste this to the AI): ``` Analyze the following system: We have a REST API on Node/Express serving a web dashboard and a mobile app. We return 80+ fields per product even though mobile only uses 6. Within the context of a Series A SaaS with 12 enterprise customers, $180k ARR. ```

How detailed should my variables be? 2–5 sentences or a short bullet list is enough Real and specific beats long and vague A rough draft is better than waiting for perfect

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Step 3 — Paste into ChatGPT or Claude and Run

Recommended AI tools (in order of quality for these prompts): Claude Sonnet / Claude Opus (claude.ai) — best analytical depth ChatGPT GPT-4o (chat.openai.com) — great alternative ChatGPT GPT-4o mini — works for quick exploration; less depth

Free tier works. Paid tier gives better and longer responses.

Paste the entire filled-in prompt — do not summarize or shorten it. After the first response, follow up with questions like: "Focus on point 3 — give me a concrete example" "Rewrite this as a one-page memo for a non-technical stakeholder"

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Common Questions

Q: Do I need to use every prompt? No. Think of this pack like a reference manual — use what fits your situation. Most buyers find 3–5 prompts they return to repeatedly.

Q: The AI gave me a vague answer. What do I do? Add more specifics to your variable text. One extra paragraph of context typically produces a dramatically better result.

Q: Can I share these prompts with my team? Your license covers personal and internal team use within one organization. You may not resell or republish the prompts publicly.

Q: Can I use these in other AI tools (Gemini, Perplexity, Copilot)? Yes. The prompts are plain text and work in any LLM chat interface.

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One-Line Cheat Sheet

> Open all-prompts.md → find a prompt → replace {{VARIABLE}} with your real situation → paste into Claude or ChatGPT → follow up.

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Questions? Email: shaattrading@gmail.com