Describe a feature. Ship it complete.
Scope analyzes your codebase and turns a plain-English description into implementation-ready tickets your AI coding tool can execute — so nothing gets missed.
Works with Claude Code, Cursor, Codex, and any MCP-compatible tool.
AI agents build 60% of a feature and call it done
Without codebase context, AI tools miss integrations, skip edge cases, and leave you filling in the gaps. Scope fixes that.
Before
Incomplete output, expensive rework
Your AI builds the core and stops
It handles the happy path but misses lifecycle hooks, edge cases, and integrations with existing services.
Dependencies are invisible
AI doesn't know which endpoints, schemas, or services are affected by a change until it's too late.
Context gets lost between sessions
Every new session starts from scratch. Patterns, conventions, and past mistakes aren't carried forward.
Exploration burns tokens, not progress
Agents spend half their budget reading your codebase before writing a single line of implementation code.
After
Code-referenced tickets agents can run
Every file, entity, and endpoint mapped
Scope analyzes your codebase and tells your AI exactly what to change, where, and in what order.
Feature-complete from the first run
Structured decomposition ensures nothing is missed — integrations, callbacks, tests, and edge cases included.
Less exploration, more execution
AI agents pull context via MCP and spend tokens writing code instead of discovering architecture.
2 sentences to working implementation
Describe what you want in plain English. Scope handles the decomposition. Your AI builds it.
“We've all been in that sprint planning meeting where someone opens a ticket and... it's a black box. No context. No design. No acceptance criteria.”
Arbisoft Engineering Blog
You're already doing this the hard way
Explaining context to your AI tool, re-reading code, manually breaking down features. Scope does all of that automatically.
Without Scope
You do the work AI should be doing
Writing detailed prompts for AI
Re-explaining your architecture every session
Maintaining CLAUDE.md / rules files
Manual, gets stale, limited context
Reading code to give AI context
You spend 30 min so AI can spend 5 min
Fixing what AI missed
Manually adding integrations and edge cases
Re-running after AI goes off track
Token waste from backtracking and rework
All that effort. Still incomplete features.
With Scope
One flow from intent to execution
Connect your repository
Scope builds a complete model of your codebase in ~2 minutes
Describe the feature in plain English
Two sentences is all it takes
Get a codebase-aware implementation plan
Exact files, entities, dependencies, and acceptance criteria
Gaps caught before coding starts
Missing integrations and edge cases surfaced up front
Your AI tool executes with full context
Claude Code, Cursor, or Codex builds it complete
One workflow. Code-aware tickets every cycle.
What Scope is different from
Scope doesn't replace your coding tools or issue tracker. It makes your AI agent dramatically smarter about your specific codebase.
Scope is the only tool that gives AI agents deep understanding of your codebase before they write a single line.
From plain English to complete implementation
Scope analyzes your codebase and gives your AI tool everything it needs to build the full feature — not just the obvious parts.
Connect your repo
acme/ecommerce-app
Connected via GitHub
Codebase understood
How it works
From a 2-sentence description to a complete, working implementation.
Connect your repo
Link GitHub and Scope builds a complete model of your entities, endpoints, and dependencies.
~2 minDescribe what you want
Write it in plain English. Scope maps it to your existing code and catches what needs clarification.
2 sentencesScope decomposes it
Generates a codebase-aware plan: exact files, dependencies, integrations, and edge cases — nothing missed.
Codebase-awareYour AI builds it
Claude Code, Cursor, or Codex executes with full context. Complete features, not partial implementations.
MCP + MarkdownWhy AI tools build more with Scope
Scope gives your AI agent the codebase context it needs to ship complete features, not just starting points.
Deep codebase understanding
Scope parses your entities, relationships, endpoints, and dependencies in ~2 minutes.
Your AI agent starts with full architectural context, not guesses.
Nothing gets missed
Catches missing integrations, lifecycle hooks, and edge cases before your AI starts coding.
The difference between 60% done and 100% done.
Smart decomposition
Breaks features into ordered, dependency-aware steps your AI tool can execute sequentially.
Right order, right scope, right output.
Works with your AI tools
Delivers context via MCP to Claude Code, Cursor, Codex, or any compatible agent.
No workflow changes. Just better results.
0 min
To analyze your codebase
Connect GitHub and Scope builds a complete model
0%
Feature completeness
Every integration, hook, and edge case covered
0 tools
MCP tools for your AI agent
Works with Claude Code, Cursor, and Codex
0 fields
Per generated ticket
Files, entities, dependencies, and acceptance criteria
Who Scope is for
Anyone using AI coding tools who wants complete features, not just a starting point.
Developers using AI tools
Get feature-complete output from Claude Code, Cursor, or Codex. Stop filling in the gaps your AI agent missed.
Founders and solo builders
Describe what you want in 2 sentences. Scope breaks it down. Your AI tool builds the whole thing.
Engineering leads
Standardize how features get decomposed and handed off to AI agents. Less rework, more shipping.
Product managers
Understand your codebase without reading code. Write specs that map to real files and entities.
Built for AI-native delivery
Scope fits your current workflow while giving coding agents structured context to execute faster.
What Scope generates
Implementation tickets
Agent-ready issues with exact files, APIs, and acceptance criteria
MCP context
12 MCP tools for tickets, entities, endpoints, and dependencies
Codebase knowledge
Tree-sitter + semantic indexing over your project structure
Impact context
What changes, what breaks, and what should ship first
Where it ships
Same feature. Completely different results.
What happens when your AI agent has codebase context vs. when it doesn't.
Before Scope
AI builds the obvious 60%
You describe
"Add notifications to checkout"
AI explores
Burns tokens reading your codebase to figure out where to start
Incomplete output
Builds the core service but misses lifecycle hooks and integrations
You fill gaps
Manually add the callbacks, edge cases, and tests AI skipped
Result
Hours of back-and-forth for a partial implementation
Partial feature, manual cleanup
After Scope
AI builds the complete feature
You describe
"Add notifications to checkout"
Scope maps
Finds CheckoutService, identifies missing NotificationService and hooks
Gaps caught
Surfaces missing integrations, edge cases, and dependencies
You confirm
Answer a few product decisions in minutes
AI executes
Builds every service, callback, test, and integration — nothing missed
Result
Complete feature with zero manual gap-filling
Feature-complete output, no rework
We analyze your codebase. We never store your code.
Scope extracts relationships, data models, and context from your repo. Your source code is never retained — only the metadata that powers your specs.
Source code never stored
Scope reads your code during analysis and extracts metadata — data model names, properties, feature paths. The actual source code is processed in memory and discarded.
You control what's shared
API keys are scoped to your projects. You choose which repos to connect. Nothing is shared between users or projects.
Isolated by design
Each project's context is stored in isolated, encrypted storage. Enterprise-grade security practices throughout.
✓What we store
- Data model names, properties, and relationships
- Feature paths and access rules
- Technology and framework choices
- Your project requirements and generated specs
✕What we never store
- Your source code files
- Environment variables or secrets
- Git history or commit contents
- Any raw file content from your repository
Simple pricing
Start free. Upgrade for premium analysis and higher-throughput planning.
Free
Start building complete features
- Codebase analysis
- Implementation-ready ticket generation
- Core MCP workflow tools
- 200K signup tokens + monthly token allowance
- No credit card required
Buy token packs only if you need more volume
Get Started FreePro
For teams shipping at scale
- Everything in Free
- Premium analyze_codebase tool
- Advanced impact analysis
- Premium AI models
- Priority queue + faster support
- Roadmap access
Cancel anytime. Keep your existing Jira/Linear workflow.
Questions? Answers.
No. Scope reads your source code during analysis to extract structure and metadata — data model names, properties, feature paths, relationships, and patterns. The actual source code is processed in memory and discarded. Only the extracted context is stored.