DI

DeployIQ

Deployment risk intelligence

AI-powered deployment analysis

Know the risk before you ship,not after the incident.

DeployIQ generates full deployment risk reports on every pull request — stored on your account and used to learn from your history. Every review builds smarter context, surfacing blast radius, missing checks, and safer rollout guidance automatically.

9

touchpoints mapped

15

code sections analyzed

High

7 / 10

Capabilities

Everything a diff review misses.

DeployIQ goes beyond line-by-line commentary. It understands your full codebase and historical context to analyze the true blast radius of every change.

Full-System Context

Every review pulls in relevant code and past review history from your indexed codebase — the AI sees your full system, not just the diff.

Evidence-Based Risk Scoring

Ties risk calls to test coverage, past incidents, deploy history, and known weak spots. Scores 1–10 with clear risk levels.

Blast Radius Mapping

Maps every change against affected services, shared contracts, downstream consumers, and data stores automatically.

Gap Detection

Surfaces missing migration rehearsals, untested rollback paths, partial integration coverage, and skipped preflight checks.

Review History

Stores every PR review on your account with full risk reports you can revisit anytime — track patterns across deployments.

Automatic on Every PR

GitHub Actions trigger analysis on every pull request — risk reports post as PR comments within seconds, no manual steps.

Architecture

Full-stack, deployed on AWS.

A modern stack from frontend to infrastructure — containerized, automated, and running on AWS Fargate.

Frontend

Server-rendered UI for risk reports and dashboards

Next.js 16
React 19
TypeScript

Tailwind CSS v4 · shadcn/ui · Radix UI

AI Engine

Multi-step agent pipeline for contextual risk analysis

LangGraph
GPT-5.4
ChromaDB

LangChain/LangGraph · OpenAI Embeddings · Vector Database

Backend & Data

API routes, database access, and structured storage

API Routes
Drizzle ORM
PostgreSQL

Amazon RDS · Connection Pooling · JSONB Storage

CI/CD & Deployment

Automated build, test, and deploy pipeline on AWS

GitHub Actions
AWS CodePipeline
Docker

CodeBuild · ECR · ECS Fargate

AWS Infrastructure

ECS on Fargate

Serverless containers

Amazon ECR

Docker image registry

Amazon RDS

PostgreSQL database

CodePipeline

Automated CI/CD

Region: ca-central-1 · Multi-stage Docker builds · Standalone Next.js output · Automated deploys on merge to main

How It Works

From PR to risk report in seconds.

Open a pull request and DeployIQ handles the rest — no config, no manual triggers.

Step 1

PR Opened

GitHub Actions detects a new pull request, extracts the diff, changed files, and PR metadata.

Step 2

Context Retrieved

AI searches your indexed codebase for relevant code sections and past reviews related to the change.

Step 3

Risk Analyzed

Multi-step AI agent parses the diff, injects system context, and generates a structured risk report.

Step 4

Review Posted

Structured risk report posts directly as a PR comment, and with further context in your dashboard.

Report Preview

A real report, not a wall of comments.

Every PR gets a structured risk report grounded in your codebase context, scored by evidence, and delivered as actionable guidance.

Deployment Risk Report

Payments Retry Refactor

Backend change touching retry orchestration, webhook delivery, and ledger reconciliation across 4 services.

15 code sections analyzed· 5 past reviews matched

Risk

7 / 10

High

Blast Radius
  • checkout-apidirect
  • billing-uiconsumer
  • ledger-workerasync path
  • postgres / retries tablestateful
System Context

Codebase Match

0.91 relevance

src/services/retry-queue.ts:45-89

Existing retry logic uses exponential backoff with no circuit breaker — the refactor changes this path.

Past Review Match

PR #47

Prior retry queue regression caused duplicate webhook dispatch under load — flagged as high risk.

Evidence Summary

Tests cover the happy path only

Integration coverage exists for retry creation, but not delayed reprocessing or rollback.

No circuit breaker tests

New circuit breaker logic has zero test coverage in the current suite.

Rollout Guidance

Step 1

Flag the new retry path

Ship behind a feature flag for staged rollout

Step 2

Canary background workers

Roll out worker path first, monitor queue depth

Step 3

Monitor and promote

Watch webhook retries for 24h before full rollout

Why DeployIQ

Risk intelligence, not code commentary.

CapabilityDeployIQPR Bots
Analyzes full codebase context with AI
Maps blast radius across services
References past reviews & incidents
Structured JSON risk reports
Rollout sequencing & guidance
Learns from your repository over time

Stop shipping blind.

Every PR gets a structured risk report — grounded in your codebase context, scored with evidence, and delivered with rollout guidance.