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The March 2026 release introduces significant platform enhancements, including a documentation editor centered on OpenAPI specifications and a dual-layer governance system (DT and RT) for comprehensive lifecycle oversight. Additionally, the expansion of Aspen to Windows and the introduction of Agentic AI with automated pull request capabilities further empower developers to manage and optimize their APIs efficiently.
All new API documentation that makes OpenAPI specification the pivotal part, while enriching the experience with a robust Editor that can help create guides, further explaining the full specification of an API, giving context where needed.

Our API Governance is now more powerful and intuitive. We have separated Design-Time (DT) and Run-Time (RT) governance to provide better oversight throughout the API lifecycle.
Key benefits for you:
Better Compliance: DT checks your OpenAPI specifications against industry best practices or your own custom Spectral rules.
Real-Time Security: RT continuously monitors production traffic to identify performance issues and security vulnerabilities immediately.
Actionable Insights: Receive instant, data-driven feedback on how your API behaves in the real world.

We have released the Windows version of Aspen! Aspen is a native, local-first API testing tool designed for API-first teams who need a fast, private, and AI-enhanced environment. All of the features available on Mac are now accessible on Windows through the Windows Store.
Key features of Aspen include:
Privacy by Default: Operates with a Zero Trust policy, meaning no accounts are required and all data remains local.
Alfred AI Assistant: An integrated AI that automates repetitive tasks, such as generating data models and OpenAPI specifications.
Aspen Collections: Easily organize, import, and export API requests for seamless team collaboration.

Treblle's Agentic AI works an end-to-end platform that uses autonomous AI agents to manage, build, refactor, and document APIs, drastically improving efficiency for enterprise teams. The agents automate high-effort tasks, including generating production-ready API implementations from simple text prompts, creating standards-compliant OpenAPI specifications, and producing client SDKs in multiple programming languages. Furthermore, the AI can analyze and refactor legacy code, helping to reduce technical debt, optimize performance, and ensure best practices are enforced across the codebase.
Security and governance are central to the Agentic AI workflow. Every AI task follows a 'Human-in-the-Loop' process, automatically creating a Pull Request (PR) on your repository for mandatory human review and sign-off, preventing direct commits. For privacy, each agent operates in an isolated, secure sandbox for its task. The platform is also model-agnostic, works with existing deployments (like AWS Bedrock or Azure Foundry), and currently features four agentic workflows, with continuous expansion planned.

To learn more about the latest updates, schedule a live demo!