Research Insights Made Simple 4 Review of AI-Enhanced API Design

In this episode We're discussing an interesting whitepaper called AI-Enhanced API Design from the guys at Google, which talked about how API management approaches affect productivity and usability. The researchers showed that common standards, together with the tools that help them follow, lead to statistically significant improvements in API design quality.

In the analysis, a cool guest helps me - Pavel Karavashkin, my colleague. Pavel is the head of development of the T-API platform, as well as the leader of the system analysis profession at T-Business, co-host of the SA T-Bank InSAI podcast. Pasha loves cycling, Warhammer 40k and reading random articles on Wikipedia.

By the way, the episode is available in podcast Yandex Music.

Materials:

• AI-Enhanced API Design: A New Paradigm in Usability and Efficiency
• My review of this scientific article
• Public T-API for Partners
• InSite podcast

We discussed the following points. Review of the article and personal impressions of Pavel Discussion of article structure Problems and aspects of API design

• The API development process for Google Flexibility and standardization in API development Research methodology at Google Approaches to research around APIs in T-bank Problems and Solutions in Personalization
• Use of linters and metrics Analysis of developers’ logs and tasks Research and metrics at Google
• Generation of contracts
• Problems with architects Google Experiment Methodology and Results
• Limitations of the experiment
• In general about the development process and assistance of automated tools
• Importance of the implementation phase
• Architecture and process improvement Measuring the effectiveness of the toolkit (“Measuring developer goals” from Google)
• Roles in development
• Cybersecurity automation (linkage)Conclusion and future plans

#Architecture #Software #DistributedSystems #SystemDesign #SystemEngineering #API #Governance