AI-powered specification platform for developers

Talk to your code.
Generate specs.

Spec AI reads your codebase, understands your architecture, and turns conversations into detailed technical specifications — ready for implementation.

Spec AI — Chat
 

I analyzed your codebase and found the existing UserService and EventBus. Here's the specification:

Notification System — Spec Generated

3 endpoints · 2 new services · 1 database migration

Implementation plan with 8 tasks

Your time, your pace

Define the spec now.
Implement whenever you want.

Other AI tools force you to sit there watching code being generated in real time. Spec AI is different — you define what needs to be built, and trigger the implementation when you are ready. Tomorrow, next week, next sprint.

5 min

Spec in 5 minutes

Describe your feature in a quick chat. The AI generates the complete spec while you grab a coffee.

Your call

Implement on your schedule

Specs are saved and versioned. Click "Build" when you're ready — not when the AI decides.

Hands-free

PR opens automatically

The builder reads the spec, implements the code, creates a branch, and opens a pull request. You just review.

9:05 AM

Chat about feature

9:10 AM

Spec generated

...

You do other work

3:00 PM

Click "Build"

3:15 PM

PR ready to review

See it in action

A real example: from idea to implementation-ready spec in one conversation

Spec AI — E-commerce Platform
Connected to repo
Y

You

We need a payment system with Stripe. Users should be able to subscribe to monthly plans, upgrade/downgrade, and see billing history. We already have a User model and a REST API with Go.

Spec AI

search_codebase3 files found
read_file48 lines
list_directory5 entries

I found your User entity at internal/entity/user.go and your gateway layer follows a repository pattern. I see you use UUID for IDs and have a clean architecture with usecase/entity/gateway layers.

A few questions before I generate the spec:

  • 1.Should the subscription be tied to a User or to a separate Organization/Team entity?
  • 2.Do you need webhook handling for Stripe events (payment failed, subscription cancelled)?
Y

You

Tied to User directly. And yes, we need Stripe webhooks for payment_failed and subscription_deleted events.

Spec AI

Here's the complete specification for the Stripe Payment System:

Stripe Payment System
Ready

Endpoints

POST/subscribe
PUT/subscription
GET/billing
POST/webhook
DELETE/subscription

New entities

Subscription

BillingHistory

Plan

Tasks

0

implementation steps

Build & create PR
PR #47 openedfeat/stripe-payment-system

5 minutes of chat. 12 implementation tasks. 1 pull request. Zero time wasted watching AI type.

How it works

Three simple steps from idea to detailed technical spec

01

Connect your repo

Link your GitHub or Bitbucket repository. Spec AI indexes your codebase to understand your architecture, patterns, and conventions.

02

Describe your feature

Chat naturally about what you want to build. The AI asks smart questions based on your actual code — not generic templates.

03

Get your spec

Receive a detailed specification with endpoints, data models, implementation plan, and tasks — all aligned to your existing codebase.

Not just another AI chat

Spec AI is purpose-built for developers who need to move fast without cutting corners

Reads your codebase

It doesn't guess — it searches, reads, and understands your files, folder structure, and patterns before generating anything.

Context-aware specs

Specs reference your real services, models, and conventions. No generic boilerplate that you'll have to rewrite anyway.

From spec to PR

Specs can be sent to the builder pipeline — Spec AI implements the code, creates a branch, and opens a PR automatically.

Organized by project

Conversations and specs are grouped by project. Come back weeks later and pick up exactly where you left off.

Streaming responses

Real-time streaming with SSE. See the AI think and respond as it analyzes your codebase — no waiting for a full answer.

Your code stays yours

Self-hostable. Your code and specs never leave your infrastructure. No vendor lock-in, no data sharing.

ChatGPT writes code. Spec AI writes the plan.

Other AIs give you code snippets. Spec AI gives you the blueprint — then builds it.

Generic AI assistants

  • -No knowledge of your codebase
  • -Generic code snippets
  • -You manage the context manually
  • -No project organization
  • -Copy-paste driven workflow

Spec AI

  • Reads and indexes your actual codebase
  • Full specs with endpoints, models, and tasks
  • AI manages context from your code automatically
  • Conversations and specs organized by project
  • Spec → Builder → PR — complete pipeline

Built by developers, for developers

We built Spec AI because we were tired of writing specs from scratch and explaining context to AI over and over

Saves hours per feature

Stop spending days writing specs manually. Get a detailed, implementation-ready spec in minutes.

Ship faster

From spec to PR in a single pipeline. The builder implements your spec and opens a pull request automatically.

Consistent quality

Every spec follows the same structure. No more missing edge cases, vague requirements, or forgotten migration steps.

Stop writing specs by hand

Connect your repository, describe your feature, and let AI generate the complete technical specification.