AI Code Review Agent

An AI-powered code review agent that analyzes pull requests for security vulnerabilities, coding standards violations, performance issues, and architectural anti-patterns. Provides automated inline feedback with suggested fixes, integrates with CI/CD pipelines, and learns from team-specific conventions over time.

Epics

Features

BDD Scenarios

Tasks

112

APIs

System Architecture

pattern

Event-driven microservice with AST-based analysis pipeline

database

PostgreSQL for review history and rule configs + Redis for job queues and caching

agent Framework

Multi-pass analysis pipeline: parse → scan → evaluate → synthesize → comment

tools

Tree-sitter AST parser, Semgrep rule engine, Git diff processor, GitHub/GitLab API, LLM reasoning

guardrails

Confidence thresholds per finding, false positive suppression, human override workflow

observability

Per-review trace logging, false positive rate tracking, reviewer acceptance metrics

auth

OAuth2 with GitHub/GitLab for repository access + API keys for CI/CD triggers

deployment

Kubernetes pods with horizontal scaling based on PR queue depth

Delivery Blueprint — 6 Epics

Core engine that ingests pull requests, parses diffs into structured ASTs, resolves cross-file dependencies, and orchestrates the multi-pass analysis pipeline across all changed files.

Diff Parsing & AST Construction

Converts raw git diffs into structured abstract syntax trees, resolving file context, import chains, and cross-file symbol references for deep analysis.

Parse multi-file PR with cross-file dependenciespositive

Given a pull request modifies 3 files: UserService.ts, UserController.ts, and user.routes.ts
When the analysis engine ingests the PR
Then it parses each file diff into a structured AST
And it resolves that UserController imports UserService
And it builds a dependency graph showing the call chain from route → controller → service
And the full context is available for downstream analyzers

+1 more scenario

●Implement git diff parser that extracts per-file hunks with before/after line mapping

●Build Tree-sitter integration for AST generation across TypeScript, Python, Java, Go, and Rust

+3 more tasks

Analysis Pipeline Orchestrator

Manages the sequential and parallel execution of analysis passes (security, standards, performance, architecture) and aggregates findings into a unified review.

1 scenarios, 5 tasks — unlock to view

Repository Context Loader

Loads repository-level context including existing code patterns, team conventions, and historical review data to inform analysis passes.

1 scenarios, 4 tasks — unlock to view

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Governance Rules (7)

Critical security findings must block PR merge until resolved or explicitly overridden by a senior engineer

All analysis findings must include confidence scores and findings below 0.7 confidence are surfaced as suggestions only

+5 more governance rules — sign up to view

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