HCode Reviewer
aiHCode Reviewer is an intelligent code review platform that connects directly to GitHub repositories via a GitHub App installation. When a pull request is opened or updated, it automatically triggers AI-powered reviews using multiple engines — Gemini, OpenAI, and Anthropic — with intelligent fallback between providers. The platform presents review results through a rich interface with inline code suggestions categorized by type (Bug, Security, Performance, Style, Best Practice) and severity (Info, Warning, Error, Critical), full diff viewers with context-aware analysis, and threaded conversations. Organizations can configure custom review rules in YAML, manage team access with role-based permissions, and track review metrics through an analytics dashboard. Stripe subscription billing supports Free, Starter, Pro, and Enterprise tiers.
The Challenge
Development teams routinely spend hours on manual code reviews, creating bottlenecks that slow delivery. Human reviewers are inconsistent — they miss subtle bugs, overlook security vulnerabilities, and apply coding standards unevenly across the team. As codebases grow and teams scale, the review process becomes the biggest friction point in the development pipeline.
Our Solution
We architected HCode Reviewer as a Turborepo monorepo with clear separation: a Next.js web dashboard for the review UI and settings, a BullMQ background worker for async AI processing, a shared Prisma database package, a multi-provider AI engine package with prompt building and token budget management, and a GitHub integration package using Octokit. The PR pipeline tracks each review through defined states (PENDING_AI → AI_REVIEWING → PENDING_HUMAN → IN_REVIEW → COMPLETED). Human reviewers can approve, reject, or modify AI suggestions before they're posted as inline GitHub comments. YAML-based review rules allow organizations to enforce custom standards, and the platform deduplicates webhook events to prevent redundant processing.
Results
Tech Stack
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