Your AI Assistant’s Intelligent Safety Layer

Git tracks what changed. SnapBack understands who changed it and why.

SnapBack automatically detects when AI tools modify your code, captures full context with every change, and lets you navigate your development timeline with complete understanding.

Work faster with AI. SnapBack has your back.

89%

AI Detection

Accuracy

<50ms

Context Capture

Per save

94%

Risk Detection

Precision

100%

Local-First

Privacy

How SnapBack Learns Your Codebase

📅 Day 1

Catches common patterns. 94% accuracy on standard issues. Immediate protection from the moment you install.

📈 Day 30

Learns YOUR specific risks. Knows which files break together. Understands your team patterns and workflows.

🎯 Day 90

Predicts problems before you notice them. Prevents what others miss. Full codebase intelligence.

Intelligence Features

📚 Pattern Memory

Learns what breaks in YOUR codebase. Prevents problems specific to your patterns, not just generic issues.

How pattern memory works →

📈 Progressive Learning

Gets smarter the longer you use it. Day 1: 94% accurate. Day 30: knows your specific risks. Month 3: prevents what others miss.

Learning progression →

🔐 Code Stays Local

Your code never leaves your machine. Metadata-only for cloud features. Fully optional. You control what gets sent.

Privacy details →

Pick Your Path

SnapBack works for solo developers, teams, and enterprises. Choose what matches you:

🚀 Start Here

Get protected in 2 minutes. Install, save a file, you’re done.

⏱️ 2 minutes setup

Quick Start →

👥 Team Lead

Managing code quality? Need audit trails & organization-wide controls?

📊 Enterprise security

Team setup →

🔌 Integration Builder

Using our API? Building on SnapBack?

⚙️ Full reference docs

API docs →

How It Works: Learning Loop

Day 1: Catches Common Patterns

You install SnapBack. It detects hardcoded secrets, phantom dependencies, test code in production, and risky patterns out of the box.

Day 30: Learns YOUR Codebase

Pattern Memory observes which changes cause issues. Over 30 days, it builds knowledge of YOUR specific risks:

“Cursor always breaks this auth module”
“This refactor pattern causes cascading failures”
“This folder has phantom dependency issues”

Month 3: Catches Patterns Before You Notice

After 90 days, SnapBack has learned what breaks in YOUR specific codebase. It catches patterns before you even think to look for them. It knows:

Folder-specific risks (which folders are historically fragile)
Pattern-specific risks (which refactoring patterns cause issues)
Tool-specific risks (which AI tool is reckless with which files)

Core Concepts

Understanding how SnapBack works:

Protection Levels (Canonical Signage)

SnapBack uses a canonical signage system to ensure consistency across all interfaces:

🟢 Watch (watch) - Silent auto-snapshots

Canonical value: watch

Zero-friction protection with automatic snapshots on save. Perfect for files you want to protect without any workflow interruption.

Best for: Configuration files, documentation, assets, test files

🟡 Warn (warn) - Confirmation before save

Canonical value: warn

Gentle reminder with confirmation prompt before save. Provides time to think before making changes to important files.

Best for: Source code, critical configuration, build scripts, production files

🔴 Block (block) - Required snapshot (audit trail)

Canonical value: block

Highest protection level that blocks changes until you provide context, creating an audit trail for critical modifications.

Best for: Secrets, environment files, API keys, production database config, critical infrastructure

Other Core Concepts

📸 Snapshots - Point-in-time captures

A snapshot is a point-in-time capture of your file state for pattern analysis and change tracking.

🕐 Sessions - Time-bounded grouping

Sessions are time-bounded collections of snapshots. AI often changes multiple files at once, so sessions enable pattern detection across related changes.

🛡️ Protected Files - Active protection list

Files currently under SnapBack protection with active protection levels assigned.

⚠️ Blocking Issues - Critical findings

Critical issues detected during analysis that may block safe operations or require immediate attention.

📊 Watch Items - Non-blocking monitoring

Non-critical items that SnapBack is monitoring for awareness without blocking operations.

Features

Pattern Memory - Learns what breaks in YOUR codebase and prevents it
Progressive Learning - Gets smarter over time: catches common patterns → learns your risks → predicts issues
Collision Avoidance - Stops hardcoded secrets, phantom deps, test code in prod before they cause issues
Per-Tool Learning - Learns which AI tools cause which issues in your code
Privacy First - Metadata-only, your code stays local

Resources

📘 Documentation

📦 Integrations

🤝 Community

Need Help?

📧 Support

Email: support@snapback.dev

For faster assistance, join our Discord community where our team and other users can help you.