API Versioning Manager

Part of the worlds-biggest-software-project initiative.

An AI-native, open-source platform for managing API versions, deprecation timelines, and client migration at scale.

API Versioning Manager is a lifecycle tool for platform teams that publish APIs to internal or external consumers. It tracks versions, detects breaking changes, manages deprecation timelines, and helps consumers migrate before sunset dates — solving the API sprawl and deprecation-coordination problem that incumbent gateways treat as an afterthought.

Why API Versioning Manager?

Cloud gateways (AWS API Gateway, Azure API Management, Apigee) bundle versioning as a side-feature of traffic management and offer no native deprecation notices or RFC 8594 Sunset headers.
Open-source gateways such as Kong require versioning to be hand-assembled from plugins, leaving deprecation policy and client-impact analysis to each team to reinvent.
Documentation-led tools (Redocly, Postman, Apidog) handle multi-version docs and changelogs well but are workspace-centric, not traffic-routing-centric, and lack enterprise-grade deprecation enforcement.
Stripe's date-based versioning model is widely admired but is an internal reference, not a purchasable product — there is no well-funded pure-play specialist in this niche.
Knowing which consumers are still calling a deprecated version, and getting them to migrate on time, remains the primary unsolved problem in the space.

Key Features

Version Lifecycle & Tracking

API version registry and tracking
Version-specific endpoint documentation
Version switching configuration
Metrics per API version

Deprecation & Change Management

Deprecation timeline management
Breaking change detection
Changelog generation
Deprecation notifications to clients

Client Impact & Migration

Client migration guide templates
Automatic client impact analysis
Client detection and version tracking
Migration helper tools and scripts

Compatibility & Deployment

Backward compatibility testing
Blue-green deployment support
API contract testing
Performance comparison across versions

Backlog / Future

Automatic migration script generation
Zero-downtime version switching
Deprecated endpoint simulation for testing
Machine learning deprecation prediction
Compliance audit trail

AI-Native Advantage

AI is used to analyse traffic logs and identify every active consumer of a deprecated endpoint, ranked by call volume, last-seen date, and blast radius before the sunset date. Per-consumer migration guides are generated from OpenAPI diffs, highlighting only the fields and behaviours affecting each consumer's observed usage, with natural-language deprecation notices personalised by scanning consuming repositories. The system can predict which consumers are unlikely to migrate before the deadline and flag them for proactive outreach, and can ingest a plain-English API governance rulebook to auto-apply versioning rules and sunset timelines to new designs.

Tech Stack & Deployment

The project aligns with established standards: OpenAPI 3.x for contract description, Semantic Versioning and date-based versioning schemes, RFC 8594 (Sunset HTTP Header), and the IETF Deprecation header draft for machine-readable signalling. Self-hosted and cloud deployment modes are both anticipated, with integration points for existing gateways (Kong, AWS, Azure, Apigee) rather than replacing them.

Market Context

The broader API management market is a multi-billion-dollar Gartner-tracked category; pure-play API lifecycle and deprecation tooling is an underserved niche estimated in the low hundreds of millions and growing as API sprawl increases. Incumbent pricing ranges from open-source self-hosted (Kong) to per-request cloud billing (AWS, Azure) to seat-based SaaS at roughly $10–$60/seat/month, with deprecation features typically bundled rather than standalone. Primary buyers are platform engineering teams, API product managers at companies with large developer ecosystems, and enterprise architects managing regulatory change control.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.