Deployaar is a full-stack SaaS platform that eliminates the gap between a product idea and shipped code. You type a one-line feature request — “Add dark mode toggle to settings page” — and Deployaar’s AI pipeline handles everything else: validating the request, generating a structured product spec, spawning a sandboxed coding agent that reads your repository and writes the implementation, opening a pull request via your GitHub App, and running a depth-branched AI code review before a human ever touches a keyboard. It is built for teams that want AI to do the heavy lifting of routine feature work while keeping humans in control of the final merge decision.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/paramveer-cyber/Deployaar/llms.txt
Use this file to discover all available pages before exploring further.
The Pipeline
From intake gate to merged PR — seven automated steps powered by Inngest workflows and E2B sandboxed execution.
Coding Agent
An
@inngest/agent-kit agent running inside an E2B sandbox with terminal, file-read, and file-write tools. Every tool call is checkpointed via step.run().PR Review
Depth-branched AI code review at three levels — shallow, standard, and deep — giving you the right signal-to-noise ratio for every change.
GitHub Integration
A GitHub App (via Octokit) handles installations, branch creation, commits, pull request authoring, and webhook events from your repositories.
Key Features
Deployaar covers the entire software delivery lifecycle in a single platform. The features below are the building blocks of that pipeline.End-to-End AI Pipeline
One feature request enters; a reviewed pull request exits. Every intermediate step — spec, tasks, code, PR, review — is handled by AI agents without manual handoffs.
Duplicate & Education Detection Gate
Before any work begins, the
clarification service runs an AI similarity check against recent titles in the same project and rejects near-duplicates or “how do I…” education questions that aren’t real feature requests.AI-Generated PRD
The
prd service expands an accepted one-line request into a structured Product Requirements Document containing goals, scope, and acceptance criteria — all generated by the configured AI provider.Sandboxed Coding Agent
The
coding-agent service spins up an E2B sandbox and runs an @inngest/agent-kit agent. The agent loop is bounded by stopWhen: [isStepCount(MAX_ITERATIONS)] — never an unbounded loop.Depth-Branched AI PR Review
Choose shallow (quick lint-level pass), standard (logic + style + tests), or deep (full repo-context analysis with cross-file impact) when triggering a review on any pull request.
GitHub App Integration
Deployaar authenticates as a GitHub App via Octokit and manages app installations, repository listings, branch creation, commits, and pull request lifecycle — all without user OAuth tokens for repository access.
Step-Checkpointed Inngest Workflows
Every workflow step — including individual tool calls inside the coding agent — is wrapped in
step.run(). This means a Render restart or a transient failure mid-task does not re-run completed steps.Multi-Provider AI
A single
resolveAiModel() abstraction (via the Vercel AI SDK) routes to Anthropic, OpenAI, Google Generative AI, or DeepSeek. Switch providers and models with two environment variables.Razorpay Billing
Per-plan usage limits are enforced by the
billing service, backed by Razorpay for payment processing and webhook-driven subscription management.Strict Four-Layer Architecture
Every feature is implemented through exactly four layers — DB queries → services → tRPC routes → frontend hooks — with no layer allowed to skip the one below it.
Tech Stack
Deployaar is a Turborepo monorepo with a clear separation of concerns across every layer of the stack.| Layer | Technology |
|---|---|
| Monorepo tooling | Turborepo · pnpm workspaces |
| Frontend | Next.js 16 (App Router) · React 19 · Tailwind CSS |
| API layer | tRPC · trpc-to-openapi · Scalar API reference |
| HTTP server | Express 5 |
| Auth | better-auth (Drizzle adapter) |
| Database | PostgreSQL (Neon, serverless) · Drizzle ORM |
| Background jobs | Inngest (step-checkpointed workflows) |
| Sandboxed execution | E2B |
| Agent framework | @inngest/agent-kit |
| AI SDK | Vercel AI SDK (Anthropic · OpenAI · Google Generative AI · DeepSeek) |
| GitHub integration | GitHub App via Octokit |
| Payments | Razorpay |
| UI components | shadcn/ui |
| Deployment — web | Vercel (deployaar.paramveer.xyz) |
| Deployment — API | Render (deployaar.onrender.com) |
Built for the ShipFlow AI Hackathon
Deployaar was built for the ShipFlow AI Hackathon (Jun 20–30, 2026). It is a fully functional, production-deployed platform — not a demo — with a live Vercel frontend, a Render-hosted Express API, and a Neon Postgres database.