AI Code Review Agent Kit

Price: ₹499 (one-time purchase)

Format: ZIP (4 PDFs + Python agent + n8n workflow + prompts)

Delivery: Instant download after payment is confirmed.

Category: AI Agents

Description

AI code review agent kit: paste a diff, get severity-ranked findings with line references, fixes and test ideas. Reads code only, never runs it. Prioritised, line-referenced code review findings and test ideas from any diff. Get a second reviewer on every pull request: paste a diff and receive findings ranked by severity, with file, line and a concrete fix. The agent checks security, correctness, breaking changes, performance and tests in that order, and lists questions it cannot answer from the diff alone. It reads code as text and never pretends to have run it, so you know exactly what to verify. The kit includes Python code, a strict JSON output schema, a no-code prompt, six focused review prompts and an importable n8n webhook workflow you can connect to GitHub or GitLab webhooks. Who it's for Developers, indie hackers and small product teams who want a second reviewer on every pull request. What it does • Severity-ranked findings (critical to nit) with file, line range, issue and suggested fix • Security-first checklist: injection, auth checks, secrets, path traversal and unsafe input • Specific test ideas with inputs and expected results for every reviewed change • Ignores instructions hidden in code comments and never repeats secrets it finds • Six task prompts for security passes, test generation, PR splitting and review comments • Importable n8n webhook workflow that returns the review as JSON, ready to connect to your repo webhooks Benefits • Catch serious bugs before merge even when you work alone • Free human reviewers to focus on design and product questions • Learn why each issue matters through clear explanations and fixes • Write better tests faster with ready test cases for each change • Keep full control: the agent suggests, you decide and merge What's inside • 4 PDF guides (42 pages): Start Here, Build Guide, Prompt Pack, Testing, Security & Costs • Runnable Python agent (standard library only) with 22 automated tests, batch mode and cost limits • Importable n8n workflow with input validation and review rules • System prompt, a no-code prompt for any AI chat, and 6 task prompts (TXT + CSV) • 3 sample inputs, including a prompt-injection test • Editable Markdown sources, README, license and checksum manifest Three ways to use it 1. No-code: paste the prompt into ChatGPT, Claude or Gemini (5 minutes) 2. Python: run the agent on one file or a whole folder (Python 3.11+, nothing to install) 3. n8n: import the workflow and call it from a form, sheet or app Use cases • An indie hacker runs every pull request through the agent before merging, because there is no teammate to review. • A small team uses the agent as a first pass so the human reviewer can focus on design and product questions. • A freelancer checks a client's legacy PHP change for SQL injection and missing input validation before deployment. • A junior developer pastes their own diff to learn which issues a reviewer would raise and why. • A team lead asks for test ideas on a risky payment-calculation change before writing the test plan. Requirements • For the no-code route: any AI chat account • For the code route: Python 3.11 or newer • For real AI results: an Anthropic or OpenAI API key (paid per use) or a free local model with Ollama • Optional: n8n Cloud or self-hosted n8n Running costs The kit is a one-time payment. AI model usage is billed by your provider per use; the kit includes cost limits and a cost formula. Free options: the offline demo mode and local models via Ollama. Honest notes • The agent produces drafts and structured data. It never sends, posts, pays or changes records — a person reviews and acts. • Tested offline and in n8n against a local test server; live provider calls need your own key. • Results depend on your inputs and model. No income or results are promised. FAQs Q: Does the agent run my tests? A: No. It only reads the diff as text. It suggests specific test cases, and you run them in your own environment or CI. Q: Which languages does it support? A: It works with any language a capable model understands, including Python, JavaScript, TypeScript, Java, Go, PHP and C#. Quality is best for widely used languages and frameworks. Q: Can it post comments on my GitHub pull requests? A: Not by itself. The included workflow returns the review as JSON for you to read. If you add posting later, keep a human approval step before anything is posted. Q: Is my code safe? A: The kit sends code only to the model you configure. For private code, use a provider whose data terms you accept, or a local model through Ollama, and strip secrets first. Q: Why is it marked Advanced? A: Setup involves running Python, generating diffs with git and optionally connecting webhooks. Beginners can still use the no-code prompt in any AI chat. Want all 20 agent designs, a full course and a research agent? See the AI Agent Builder Master Kit on DigiCools. License: single-buyer license — use and modify for personal and commercial projects, including client work; no resale or redistribution. Version 1.0.0 · ZIP 379 KB · Instant download

What's included

• 4 PDF guides — 42 pages (Start Here, Build Guide, Prompt Pack, Testing, Security & Costs)
• Runnable Python agent — 22 automated tests, batch mode, cost limits
• Importable n8n workflow with validation and review rules
• 8 prompts — system, no-code (any AI chat) and 6 task prompts (TXT + CSV)
• 3 sample inputs incl. a prompt-injection test
• Editable sources, README, license, manifest · ZIP 379 KB

Frequently asked questions

What does the code review agent do?

It reads a diff and returns findings ranked by severity, from critical to nit, with file, line range, issue and suggested fix. It checks security, correctness, breaking changes, performance and tests, and suggests specific test ideas.

Does the agent run my code or tests?

No. It only reads the diff as text. It suggests specific test cases, and you run them in your own environment or CI.

Which programming languages does it support?

Any language a capable model understands, including Python, JavaScript, TypeScript, Java, Go, PHP and C#. Quality is highest for widely used languages and frameworks.

Can beginners use this kit?

Yes, through the no-code prompt in any AI chat such as ChatGPT, Claude or Gemini. The full setup involves running Python 3.11+, generating diffs with git and optionally connecting webhooks.

Tags: code review, ai agent, pull request, developer tools, secure coding, unit testing, python ai agent, github, indie hacker, n8n, software quality