Articles

Which tools and strategies can ensure that a private LLM chatbot produces reliable answers? Christoph Weber (Solutions Architect at Pronovix) shares insights and lessons learned from building a competitive AI chatbot with open-source tools and private hosting.

Which improvements should you prioritize in your budget? What are the common objections and challenges to navigate when you rally for more investment in the developer portal? In this article, we will map out some of the typical developer portal pain points, which can serve as a mental model that helps you shape stakeholder expectations and plan your investments in lockstep with your evolving API strategy.

Multiple API gateways on developer portals is now a necessity and each gateway adds a new layer of complexity for consumers. If developers cannot work seamlessly, they may seek another provider’s solution. This article explores how one can overcome the challenges, simplify complexity for a better user experience, and maintain full functionality without losing key features.

Developer portals have to evolve together with your business and accelerate your integration journeys. We can expand the developer portal to explicitly declare all your integration solutions and interfaces towards machine- and human users both, in a consistent and accessible format.

Excellent OpenAPI specifications enable developers to gain clarity on data structures and responses, while automation tools leverage these specs for better code generation and testing, reducing manual effort. In this article, we share some best practices and highlight the essential elements for a better OpenAPI specification.

Learn about the importance of AI and LLM data privacy, protection, and sovereignty for global enterprises and how we can help you navigate the challenges.