>voice_ai.connected

> Talk to your code.
Ship faster._

Connect your GitHub repos, discuss features with Voice AI that actually understands your code, and generate tasks for Cursor, Claude, and Copilot.

no_credit_card
free_forever
> workflow.init()

Document. Discuss. Deploy.

Code Summary connects your codebase to AI at every step—from understanding to planning to implementation.

> document

// auto-generated on every push

Connect your GitHub repos and get comprehensive documentation automatically. Architecture overviews, API references, and component docs—always in sync with your code.

  • updates_on_push
  • all_languages
  • agent_ready_context

> discuss

// voice AI that knows your code

Have real conversations about your codebase. Plan features, ask architecture questions, and brainstorm implementations—with AI that actually understands your code.

  • context_aware
  • multi_repo
  • saved_transcripts

> deploy

// AI tasks for coding agents

Turn conversations into structured implementation tasks. Generate prompts optimized for Cursor, Claude, Copilot, and other coding agents—with full codebase context.

  • one_click_gen
  • any_ai_agent
  • file_references
> process.explain()

From code to context to completion.

A complete workflow that keeps AI in sync with your codebase at every step.

01

> connect_github

Install the GitHub App and select your repositories. One-click setup.

02

> docs_generate

AI analyzes your code and generates comprehensive documentation on every push.

03

> plan_with_voice

Discuss features and architecture with AI that knows your actual codebase.

04

> ship_with_agents

Generate implementation tasks and hand them off to Cursor, Claude, or Copilot.

> voice_ai.init()

Talk through features before you build them.

Skip the blank page problem. Have a real conversation about what you want to build, and the AI will help you think through the implementation—because it actually knows your code.

  • docs === context — The AI reads your generated documentation, so it knows your file structure, APIs, and patterns.
  • catch_issues_early — AI points out conflicts with existing code before you write a single line.
  • cross_repo_aware — Discuss features that span your frontend, backend, and infrastructure in one conversation.
voice_ai
connected
> user_input
"I want to add Slack notifications when deployments finish"
> ai_response
"I see you have a webhook handler in api/webhooks. You could add a new endpoint there. I also notice you're using the notification service in lib/notify.ts—want me to create a task that extends that?"
ai_task
// generated from voice
> objective
Add Slack notification when deployment completes
> context
Existing webhook handler at api/webhooks/route.ts. Notification service at lib/notify.ts.
> steps
  • 1Add POST endpoint at /api/webhooks/deployment
  • 2Extend notify.ts with Slack integration
  • 3Add SLACK_WEBHOOK_URL to env config
> export_to:CursorClaudeCopilot
> ai_tasks.generate()

Turn conversations into code.

After planning a feature with Voice AI, generate a structured task that your coding agent can execute. No more copy-pasting context or re-explaining your codebase.

  • one_click_gen — Convert any voice conversation into an implementation-ready task with full context.
  • file_refs_included — Tasks include specific file paths and existing patterns from your codebase.
  • any_agent_compat — Optimized prompts for Cursor, Claude Code, GitHub Copilot, and others.
> features.list()

Everything you need for AI-powered development.

automatic_documentation

Documentation is generated on every push to your repository. Your docs stay in sync with your code automatically.

ai-powered_analysis

Our AI analyzes your entire codebase to generate architecture overviews, API references, and component documentation.

voice_conversations

Talk to AI about your codebase. Plan features, ask questions, and brainstorm—with context from your actual code.

ai_task_generation

Turn voice conversations into structured tasks for coding agents like Cursor, Claude, and Copilot.

all_languages_supported

JavaScript, TypeScript, Python, Go, Rust, Java, and more. Code Summary understands your stack.

team_knowledge_sharing

Stop relying on tribal knowledge. Everyone on your team has access to the same comprehensive documentation.

> pricing.plans()

Simple, transparent pricing.

Start free and scale as you grow. No credit card required.

> free

// perfect for trying out codesummary on a personal project.

$0
  • solo_use_only
  • unlimited_repositories
  • 10_credits_/_month
  • documentation_on_every_push
  • standard_ai_model
  • voice_ai_trial_(2_min)
  • agent-ready_context_files
Get started

> pro

// for developers who need more power.

$29/month
  • solo_use_only
  • unlimited_repositories
  • 250_credits_/_month
  • 750_bonus_credits_on_signup
  • premium_ai_model_(claude)
  • voice_ai_(50_min_/_month)
  • ai_task_generation
  • agent-ready_context_files
  • priority_email_support
Get started
> recommended

> teams

// for organizations that collaborate.

$199/month
  • unlimited_team_members
  • unlimited_repositories
  • 1,500_credits_/_month
  • 3,000_bonus_credits_on_signup
  • premium_ai_model_(claude)
  • voice_ai_(300_min_/_month)
  • ai_task_generation
  • postman_manifest_exports_(coming_soon)
  • confluence_integration_(coming_soon)
  • priority_support
Get started
> faq.list()

Frequently asked questions.

?How does Code Summary access my code?

Code Summary is installed as a GitHub App. You choose which repositories to grant access to, and we only read your code to generate documentation. We never store your source code.

?What programming languages are supported?

We support all major programming languages including JavaScript, TypeScript, Python, Go, Rust, Java, C#, Ruby, PHP, and more.

?How often is documentation updated?

Documentation is regenerated on every push to your repository. This ensures your docs are always in sync with your code.

?What is Voice AI and how does it work?

Voice AI lets you have spoken conversations about your codebase. The AI uses your generated documentation to understand your code, so you can discuss features, ask architecture questions, and generate implementation specs—all by voice.

?How are credits used?

Documentation generation uses 1 credit per run. Voice AI uses 5 credits per minute (billed by the minute). Free tier includes 10 credits/month plus a 2-minute voice trial. Pro and Teams plans include more credits and dedicated voice minutes.

?Can I use the docs with AI coding assistants?

Yes! Code Summary generates agent-ready context files that work with GitHub Copilot, Cursor, Claude, and other AI coding tools.

> ready.toStart()

Ready to supercharge your AI workflow?

Connect your repos, start talking to your code, and ship features faster with AI-generated tasks.