What makes a developer portal exceptional in the age of rapid AI evolution?
This new category is for developer portals that are already engaged in AI-related projects, whether it is connected to technical documentation or enhancing better user experience. One of the strengths of LLMs is their ability to understand and generate human-readable content, which capability allows them to assist with tasks such as writing, summarizing, and translating text, as well as to provide insights from unstructured data sources. However, structured data is still essential as it provides clear, organized information that AI systems can readily process.
Want to submit an entry?
Award Criteria
Questions to ask:
- Have you developed any outstanding end user solutions using LLMs or RAG?
- Can you share specific use cases or projects where these solutions have significantly impacted your work?
- How has AI helped you foster collaboration across teams, and how has it helped you improve the documentation process or provide a better user experience?
- How do you optimize your technical documentation for LLMs?
- Can you ensure that your entire API operations are machine-readable?
- What standards and protocols do you implement to maintain high API usability and performance?
- How do you guarantee the security and privacy of your and your users’ data?
Learn more about the legal implications that you will face if you are developing, deploying or using your in-house AI system. In this article of the Pronovix Blog, we look into the first EU-wide regulation.
