50% Off – ShadowGit: Lifetime License | Local AI Code Memory + Architecture-Aware Git Backup Software – for Windows, Mac, Linux
Stop repeating yourself to AI: give it Memory, keep code 100% local, and roll back breakages in one click—get ShadowGit with a Lifetime License at a 50% Discount now and ship with confidence.
✔ Lifetime License. ✔ Free Product Updates ✔ 24×7 Customer Support
ShadowGit Review at a Glance
AI coding tools can help you move fast, but they also create a frustrating loop: each new chat starts with Zero, your assistant can’t see what you changed yesterday, and you burn time (and tokens) re-explaining your app structure before you can even address the bug.
ShadowGit fixes that by saving every code change automatically and making that history usable to your AI assistants as Context—so the AI can search what changed, pinpoint the exact line that introduced a bug, and help you restore a working state instantly when a suggestion goes sideways.
What is ShadowGit
ShadowGit is a local, Git-style code history system designed for AI-assisted development, with automatic change capture and architecture-aware analysis that helps AI tools act with Awareness instead of guessing.
It combines three practical ideas into one workflow: (1) continuous automatic saving of project file changes, (2) fast “restore to a known-good state” when AI suggestions break behavior, and (3) background architecture mapping (including UML generation and pattern/boundary checks) so your AI assistant gets guidance aligned with how your system is Designed.
Unlike cloud-based “memory” features, ShadowGit keeps your code history on Device. No uploads, no remote storage, and no training on your private work—just local history, fast restores, and architecture-aware guardrails that help prevent AI-generated code from creating unwanted dependencies or breaking design patterns.
ShadowGit is built for solo developers who iterate quickly, teams who value maintainability, and anyone maintaining legacy systems where one “helpful” AI refactor can quietly introduce Debt. You keep coding in your normal workflow; ShadowGit runs in the background, continuously learning your structure, tracking changes, and giving AI tools the historical and architectural signals they typically lack.
ShadowGit works with your existing Git habits rather than replacing them: you can keep commits, branches, and your normal process, while ShadowGit quietly captures fine-grained history and adds architectural signals that regular Git does not Explain.
If you’ve ever avoided experimentation because rollback felt risky, or spent an hour reproducing a bug that started with a tiny change, ShadowGit turns that anxiety into Control: changes are captured automatically, breakpoints in history are easy to navigate, and restoring a stable version is a single click.
Key Benefits
If you want faster debugging without giving up safety, these benefits describe what changes when your AI has reliable history and architectural guardrails built into the workflow Daily:
- Continuity: Your AI remembers what changed across sessions, so you spend less time re-teaching the same codebase details
- Speed: Bugs get traced by comparing what changed, not by blindly re-reading files over and over
- Safety: One-click restore brings you back to a working state after an AI-generated change breaks builds or behavior
- Confidence: Try bolder refactors because rollback is easy, so experimentation feels low-risk
- Privacy: Code history stays local on your machine, with no cloud uploads and no external training on your repository
- Quality: Architecture mapping and pattern checks help prevent new couplings, circular dependencies, and boundary violations
- Onboarding: Auto-generated diagrams and living docs help new developers understand the system faster
- Performance: Background analysis is designed for minimal overhead (reported as under 1% CPU in typical usage)
- Legacy: Helps AI tools respect existing patterns in older codebases where informal rules matter most
- Consistency: Architectural guardrails help keep long-term maintainability intact across many AI-assisted changes
Features
Below is a comprehensive list of the key features that make the software a valuable addition to your needs:
- AI Code Memory — Gives your AI full memory of your code history so it never starts from zero.
- Complete Change History — Records every keystroke and file change automatically.
- Historical Context for AI — Allows AI tools to see what changed yesterday, last week, or anytime.
- Searchable Code Timeline — Lets AI search past changes to understand how and why code evolved.
- Automatic Code Saving — Ensures no work is ever lost without manual commits.
- Real-Time Snapshots — Saves every change instantly as you type.
- No Manual Commits Needed — Works continuously without user action.
- Safe Experimentation — Enables trying risky changes without fear of loss.
- One-Click Restore — Instantly recovers working code when something breaks.
- Instant Rollback — Restores code to any previous working state in one click.
- Disaster Recovery — Fixes major breakages in seconds.
- Granular Restore — Restores specific files or changes, not just entire projects.
- AI-Assisted Debugging — Helps AI find and fix bugs faster using change history.
- Change-Aware Debugging — AI sees what changed, not just what failed.
- Exact Line Detection — Pinpoints the precise line that caused the bug.
- Fewer Debug Cycles — Fixes issues correctly on the first attempt.
- Fearless AI Coding — Removes risk when accepting AI-generated changes.
- Safe AI Suggestions — Lets AI suggest bold changes without permanent risk.
- Instant Undo — Reverts AI mistakes immediately.
- Confidence to Experiment — Encourages faster iteration and exploration.
- Architecture-Aware Version Control — Understands what code changes mean structurally, not just textually.
- Structural Code Understanding — Analyzes how changes affect system architecture.
- Architecture Protection — Prevents unintended architectural damage.
- Code Meaning Analysis — Interprets intent, not just diffs.
- Real-Time Architecture Mapping — Continuously learns and updates your system structure.
- Live Architecture Graph — Builds a real-time map of services, modules, and dependencies.
- Automatic Pattern Discovery — Detects design patterns without configuration.
- Architecture Evolution Tracking — Shows how architecture changes over time.
- Pattern Violation Detection — Stops architectural mistakes before they land in your codebase.
- Design Pattern Enforcement — Detects violations of established patterns.
- Dependency Boundary Checks — Prevents unwanted cross-module or cross-service coupling.
- Pre-Commit Warnings — Flags issues before code is committed.
- AI Architectural Guardrails — Keeps AI-generated code aligned with your design decisions.
- Architecture Context Sharing — Provides AI tools with structural constraints.
- Boundary-Aware Code Generation — Ensures AI respects service and layer boundaries.
- Consistency Enforcement — Maintains long-term architectural integrity.
- Real-Time UML Generation — Keeps architecture documentation always up to date.
- Automatic Diagram Creation — Generates UML diagrams directly from code.
- Live Diagram Updates — Updates diagrams as code changes.
- Always-Accurate Documentation — Eliminates outdated architecture docs.
- Living Architecture Documentation — Creates documentation that evolves with your codebase.
- Auto-Generated Docs — Produces documentation without manual effort.
- Instant Team Understanding — Helps new developers grasp the system quickly.
- AI-Readable Documentation — Makes architecture understandable to AI tools.
- Bidirectional Architecture Sync — Keeps code and architecture aligned in both directions.
- Code-to-Architecture Updates — Code changes update architecture models automatically.
- Architecture-to-Code Guidance — Architecture constraints guide AI code generation.
- Design Consistency — Prevents drift between design and implementation.
- Local-Only Security — Protects your code and history from external access.
- 100% Local Storage — Keeps all code history on your machine.
- No Cloud Uploads — Ensures nothing is sent to external servers.
- No AI Training on Code — Guarantees your code is never used for training.
- Zero-Setup Integration — Works instantly with existing tools and workflows.
- Two-Minute Install — Gets running almost immediately.
- Invisible Background Operation — Runs without disrupting your workflow.
- Works With Any AI Tool — Connects automatically without configuration.
- Performance-Efficient Analysis — Runs continuously without slowing development.
- Asynchronous Processing — Performs analysis in the background.
- Low CPU Usage — Uses less than 1% CPU.
- IDE and Git Friendly — Does not interfere with normal operations.
- Legacy Codebase Support — Makes old and complex systems understandable to AI.
- Legacy Architecture Mapping — Maps undocumented or messy systems automatically.
- Technical Debt Detection — Identifies hotspots and risky areas.
- Safe Modernization Support — Helps AI avoid breaking fragile legacy patterns.
- Enterprise-Grade Architecture Protection — Supports large teams and regulated environments.
- Architectural Standards Enforcement — Ensures consistency across teams.
- On-Prem Deployment Option — Provides extra security for enterprises.
- Compliance-Friendly Design — Suitable for regulated industries.
- Historical Architecture Timeline — Explains how and why your system evolved.
- Change History Visualization — Shows architectural changes over time.
- Decision Context Preservation — Helps understand past design choices.
- Regression Analysis — Identifies when architectural issues were introduced.
- Multi-Project Awareness — Manages architecture across multiple repositories.
- Cross-Repo Dependency Mapping — Understands relationships between projects.
- Service Boundary Recognition — Tracks APIs and inter-service contracts.
- Unwanted Coupling Prevention — Stops accidental cross-project dependencies.
Requirements
Before installing, check these typical requirements so ShadowGit can run smoothly and keep your History consistent across projects:
- A supported desktop OS (Windows, macOS, or Linux)
- OS: macOS 10.15+, Windows 10+, Linux (Ubuntu 20.04+)
- Storage: 50MB for app + space for code history
- Memory: 256MB RAM minimum
- Dependencies: Git 2.0+, Node.js 18+ (for MCP server).
- Git installed (recommended for best compatibility with existing workflows)
- Local disk space for change history (varies by repo size and activity)
- Permissions to read/write within your project directories
- An AI coding tool or assistant you already use (ShadowGit is designed to connect via standard interfaces)
Downloads
See how ShadowGit works with your projects by installing the Trial edition first—test automatic saving, AI-visible history, and one-click restore in your normal workflow by clicking the download button on the product page.
During the trial, try a simple scenario: ask your AI to refactor a module, run tests, then use restore to jump back to the last known good state, and ask the AI to compare what changed so it can explain the regression Clearly.
BUY NOW
ShadowGit is available for $29.00 / lifetime license (as seen on their official site), but For a limited time, you can get the ShadowGit Lifetime License for just $15.00, which is 50% off the regular price.
When you purchase ShadowGit License, you typically receive License access for the paid term, product updates, and support resources so you can keep using the latest architecture checks, history features, and AI guardrails as your codebase grows.
Local AI Code Memory + Architecture-Aware Git Backup Software — Auto-Save Every Change, One-Click Restore, UML Diagrams, Pattern Guardrails, Zero Setup
- Lifetime License
- Bugs fixed in seconds
- Get the working code back instantly
- Works on Windows, Mac & Linux
- Your code stays private
- Free Product Updates
- Free Technical Support
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