How to vibe codeQodo

Prerequisites

• Node.jsfree

  Required for running the TypeScript backend and CLI components.

• GitHubfree

  Needed to create a personal GitHub App for receiving pull request webhooks and posting review comments.

AI coding tools

• Claude Code

  Best-in-class coding agent for scaffolding complex multi-file backend services and orchestrating review agent logic.

• Cursor

  Ideal AI code editor for iteratively building and debugging the TypeScript webhook server and database schema.

Build guide

1. 01Project Scaffolding and Database Schema

   Initialize the monorepo structure with Next.js for the dashboard and a Node.js Express server for webhook processing, connected to Neon PostgreSQL.

   Create a monorepo structure containing a Next.js dashboard app and an Express backend server in TypeScript. Connect the backend to Neon PostgreSQL using Drizzle ORM. Define database schemas for users, repositories, pull_requests, review_findings, and coding_rules. Implement better-auth for secure dashboard authentication. Ensure environment variables are properly configured for database connection strings and server ports. Write comprehensive unit tests for database migrations and verify schema constraints.

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2. 02GitHub Webhook Ingestion Engine

   Build secure webhook receivers to intercept pull request opened and synchronized events from GitHub.

   Implement a secure GitHub webhook receiver endpoint in the Express backend that validates webhook HMAC SHA-256 signatures using the secret token. Handle 'pull_request' events for actions 'opened', 'synchronize', and 'reopened'. When an event is received, extract the repository full name, pull request number, source branch, target branch, and fetch the complete file diff using the GitHub REST API. Store the pull request metadata in the Neon database and queue a background job for code analysis. Handle GitHub API rate limits and token expiration gracefully with exponential backoff.

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3. 03AST Code Parser and Context Indexer

   Develop a lightweight repository parser that extracts file structures and code symbols for LLM grounding.

   Build a code indexing service in the backend that clones target repositories locally into a temporary sandbox directory or parses them via GitHub API trees. Implement Abstract Syntax Tree (AST) file parsing using standard parsers to extract function signatures, classes, exports, and import dependencies. Generate file embeddings using OpenAI or Anthropic embedding endpoints and store them in Neon with pgvector support. Create a context retrieval function that fetches relevant file snippets and dependency trees given a pull request diff.

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4. 04Multi-Agent Code Review Pipeline

   Orchestrate specialized AI agents using the Vercel AI SDK and Anthropic API to analyze PR diffs against codebase context.

   Implement a multi-agent code review pipeline using the Vercel AI SDK and Anthropic API (Claude Sonnet). Create specialized prompt routines for three agents: a Logic Gap Agent, a Security Vulnerability Agent, and a Coding Standards Enforcement Agent. Pass the pull request diff, associated file context retrieved from pgvector, and active organization rules into the agent prompt chain. Synthesize the findings into structured JSON containing file paths, line numbers, severity levels, and specific remediation suggestions. Post the aggregated review comments back to the GitHub PR using the GitHub REST API.

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5. 05Living Rules and Standards System

   Build the rules management engine allowing developers to define deterministic coding standards enforced during reviews.

   Create a coding rules management module in both the Express backend and Next.js frontend. Allow users to define custom Markdown or natural language coding rules tied to specific repositories. Update the multi-agent code review pipeline from Step 4 to inject active repository rules directly into the system prompt for the Standards Enforcement Agent. Implement an automated rules miner endpoint that analyzes historical pull request review comments and reviewer rejections, suggesting new deterministic rules to add to the rules database.

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6. 06Governance Dashboard and Audit Portal

   Build analytics views and audit trails in the Next.js frontend to monitor review findings, risk concentration, and resolution metrics.

   Build a comprehensive governance analytics dashboard in Next.js. Create pages for repository risk intelligence, review findings history, resolution rates, and audit trails. Fetch aggregated data from the Neon database using optimized SQL queries and render interactive charts using Tailwind CSS and Lucide icons. Implement filtering by repository, severity, and date range, ensuring snappy client-side responsiveness and clean enterprise UI design.

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Cost vs paying for Qodo