DriftGuard

AI-Powered Code Migration & Modernization

Detect. Repair. Verify.

DriftGuard is a developer-focused AI agent designed around a specific problem:

What happens after a dependency or API changes and existing code needs to be migrated?

Instead of treating an upgrade as simply changing a package version, DriftGuard is designed to move through the migration workflow:

Repository → Detection → Analysis → Patch → Test → Repair → Changeset

The project combines repository analysis, package-registry information, AI-assisted code modification and automated test validation into a focused developer workflow.

What DriftGuard is designed to do

1. Detect

Scan a repository for code that may be affected by a dependency, SDK or API change.

2. Analyze

Identify potentially affected imports, calls, symbols and implementation patterns.

3. Patch

Generate targeted code modifications using an AI-assisted migration workflow.

4. Verify

Run the repository's available tests and inspect the resulting output.

5. Repair

When supported by the workflow, use test failures to guide additional corrective changes.

6. Package

Return a structured migration result containing the changeset, migration information and test results.

Current verification

The current DriftGuard development foundation has been verified with:

17 / 17 automated tests passing

Real HTTP application boot confirmed

This demonstrates that the current project foundation is executable and testable in the verified environment.

It does not represent independently validated production-scale infrastructure, commercial traction, revenue, or large-scale autonomous remediation.

What the buyer receives

The acquisition package is designed to provide the buyer with the existing DriftGuard development foundation rather than merely an idea or conceptual specification.

Included

• DriftGuard source code
• FastAPI application
• AI migration workflow
• Skill configuration
• Agent instructions
• Repository scanning logic
• Registry integration
• AI analyst / patcher / repair workflow
• Test execution workflow
• Automated test suite
• Docker configuration
• Development configuration
• Project documentation
• README
• Product architecture documentation
• DriftGuard branding assets
• DriftGuard product PDF
• Supporting development assets included in the project package

Exact final transfer inventory should be confirmed at handover.

Technical foundation

The current project uses a developer-oriented architecture built around:

• Python
• FastAPI
• Pydantic
• Pydantic Settings
• Uvicorn
• Anthropic API integration
• npm registry integration
• PyPI metadata integration
• Repository filesystem analysis
• Automated subprocess test execution
• Docker
• pytest

The project is structured for use as an AI-agent/developer-tool foundation and can be extended toward CLI, CI/CD and repository automation workflows.

Commercial opportunity

DriftGuard is currently pre-revenue.

The included project materials contain a proposed commercial model rather than reported revenue.

Potential future models include:

Pay-per-execution

Charge for individual migration executions.

Team subscription

Recurring access for development teams and repositories.

Enterprise

Private deployment, repository controls, security policies and enterprise integrations.

Development opportunities

A future owner could extend DriftGuard with:

• GitHub integration
• GitLab integration
• Pull-request automation
• CI/CD integrations
• AST-based code analysis
• More programming languages
• More package ecosystems
• Automatic changelog comparison
• Dependency graph analysis
• Cross-repository impact analysis
• Migration history
• Rollback mechanisms
• Enterprise authentication
• Team management
• Usage analytics
• Job queues and background execution
• Stronger sandboxing
• Production observability

These are future development opportunities, not claims that these capabilities are already implemented.

Why this project is being offered

DriftGuard was developed as a focused AI software-engineering project and is now being offered as an acquisition asset for a buyer who wants to take the concept and existing technical foundation further commercially.

Important project status

Stage: Verified development foundation / prototype

Revenue: Pre-revenue

Automated verification: 17/17 tests passing

HTTP boot: Confirmed

Production-scale validation: Not claimed

Customer traction: None claimed

Revenue traction: None claimed

The buyer should perform their own technical and commercial diligence before acquisition.

Exclusive acquisition

One buyer. One transfer.

This listing is intended for one buyer only.

The $19,500 price represents the acquisition price for the DriftGuard project and the assets included in the final handover.

It is not based on ARR, revenue multiples or existing commercial traction.

The buyer is acquiring the existing development foundation and associated project assets, with further development and commercialization remaining the buyer's responsibility.