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Thursday, September 4
 

11:00am PDT

OpenAPI Summit: The AI-Powered API Stack: Automating API Development, Testing, and Documentation with GenAI
Thursday September 4, 2025 11:00am - 11:25am PDT
Manasa Hari, Adobe, SDE III

Why build APIs manually when AI can accelerate the entire lifecycle? This talk showcases how GenAI can automate endpoint design, test case generation, mocking, and live documentation. From generating OpenAPI specs using natural language to producing Postman collections and unit tests with GPT, we’ll cover practical examples that save engineering hours. This session is a must for DevEx, platform teams, and toolchain builders looking to unlock speed and consistency with AI-assisted APIs. 
Speakers
avatar for Manasa Hari

Manasa Hari

SDE III, Adobe
Manasa Hari is a Software Development Engineer III (SDE III) with 12 years of experience in designing and scaling cloud-native systems. Currently at Adobe, she has also held key roles at Splunk, Selector AI, Taulia, and RingCentral. Known for her expertise in Kubernetes, event-driven... Read More →
Thursday September 4, 2025 11:00am - 11:25am PDT
API World -- Workshop Stage B (PRO)

2:30pm PDT

OpenAPI Summit: AI‑Powered APIs and API‑Enabled AI: A Symbiotic Evolution Driving Mutual Innovation
Thursday September 4, 2025 2:30pm - 2:55pm PDT
Neelesh Pateriya, Cisco, Principal Engineer

APIs and AI are no longer separate domains—they’re co‑evolving in a symbiotic relationship that accelerates innovation on both sides. This session uncovers how AI enhances API design, documentation, and developer workflows, while APIs extend AI’s reach into real‑world data, actions, and operational systems.

AI‑Powered APIs:
Developers face rising complexity in discovering, understanding, and implementing APIs. AI can transform this experience by powering intent‑based search and summarization in API documentation, suggesting improvements to OpenAPI schemas (from descriptions and examples to issue detection and guideline‑compliant fixes), and generating production‑ready integration code via natural language prompts in environments like VSCode Copilot.

API‑Enabled AI:
AI systems often struggle to access live, domain‑specific data or act autonomously beyond static model outputs. By exposing data and services through APIs—standardized and secured via protocols like MCP—AI can tap into real‑time sources, enrich its context, and execute complex, multi‑step workflows. MCP‑powered platforms (e.g., Cursor, VSCode Copilot) are already demonstrating how AI agents can both recommend and perform tasks seamlessly.
 
Speakers
avatar for Neelesh Pateriya

Neelesh Pateriya

Principal Engineer, Cisco
Neelesh is a Principal Engineer at the Cisco Developers platform. With a strong focus on driving innovation and excellence, he leads the development of the platform and the tool "API Insights," which plays a pivotal role in enabling a comprehensive organization-wide API Quality program... Read More →
Thursday September 4, 2025 2:30pm - 2:55pm PDT
API World -- Workshop Stage B (PRO)
 
Friday, September 5
 

1:00pm PDT

PRO Session (DataWeek): Compute for Your AI Model: GPUs, LPUs, TPUs and Beyond..
Friday September 5, 2025 1:00pm - 1:25pm PDT
Kushaagra Goyal, Rubrik, Tech Lead

In the rapidly evolving landscape of computing, Graphics Processing Units (GPUs), Language Processing Units (LPUs), and Tensor Processing Units (TPUs) play pivotal roles in accelerating complex tasks, particularly in machine learning and artificial intelligence.

GPUs are renowned for their parallel processing capabilities, making them ideal for rendering graphics and handling large datasets. LPUs are specialized for optimizing natural language processing tasks, enhancing efficiency in understanding and generating human language. TPUs, developed by Google, are tailored specifically for training and inference of machine learning models, offering significant performance advantages for large-scale AI applications.

As we explore these technologies, we'll also look at emerging processing units designed for specific AI use-cases and the future of computational advancements.

Join me to dive into the intricacies of these processing units, their applications, and what lies ahead in the world of computing technology.
Speakers
avatar for Kushaagra Goyal

Kushaagra Goyal

Tech Lead, Rubrik
Kushaagra Goyal is an accomplished technology leader with deep expertise in engineering and AI infrastructure. He holds a Bachelor’s degree from the Indian Institute of Technology, Delhi (2016), and a Master’s degree from Stanford University, where he developed a strong foundation... Read More →
Friday September 5, 2025 1:00pm - 1:25pm PDT
DataWeek -- Main Stage
 
Thursday, September 11
 

11:00am PDT

[Virtual] OpenAPI Summit: The AI-Powered API Stack: Automating API Development, Testing, and Documentation with GenAI
Thursday September 11, 2025 11:00am - 11:25am PDT
Manasa Hari, Adobe, SDE III

Why build APIs manually when AI can accelerate the entire lifecycle? This talk showcases how GenAI can automate endpoint design, test case generation, mocking, and live documentation. From generating OpenAPI specs using natural language to producing Postman collections and unit tests with GPT, we’ll cover practical examples that save engineering hours. This session is a must for DevEx, platform teams, and toolchain builders looking to unlock speed and consistency with AI-assisted APIs. 
Speakers
avatar for Manasa Hari

Manasa Hari

SDE III, Adobe
Manasa Hari is a Software Development Engineer III (SDE III) with 12 years of experience in designing and scaling cloud-native systems. Currently at Adobe, she has also held key roles at Splunk, Selector AI, Taulia, and RingCentral. Known for her expertise in Kubernetes, event-driven... Read More →
Thursday September 11, 2025 11:00am - 11:25am PDT
VIRTUAL API World -- Workshop Stage B (PRO)

2:30pm PDT

[Virtual] OpenAPI Summit: AI‑Powered APIs and API‑Enabled AI: A Symbiotic Evolution Driving Mutual Innovation
Thursday September 11, 2025 2:30pm - 2:55pm PDT
Neelesh Pateriya, Cisco, Principal Engineer

APIs and AI are no longer separate domains—they’re co‑evolving in a symbiotic relationship that accelerates innovation on both sides. This session uncovers how AI enhances API design, documentation, and developer workflows, while APIs extend AI’s reach into real‑world data, actions, and operational systems.

AI‑Powered APIs:
Developers face rising complexity in discovering, understanding, and implementing APIs. AI can transform this experience by powering intent‑based search and summarization in API documentation, suggesting improvements to OpenAPI schemas (from descriptions and examples to issue detection and guideline‑compliant fixes), and generating production‑ready integration code via natural language prompts in environments like VSCode Copilot.

API‑Enabled AI:
AI systems often struggle to access live, domain‑specific data or act autonomously beyond static model outputs. By exposing data and services through APIs—standardized and secured via protocols like MCP—AI can tap into real‑time sources, enrich its context, and execute complex, multi‑step workflows. MCP‑powered platforms (e.g., Cursor, VSCode Copilot) are already demonstrating how AI agents can both recommend and perform tasks seamlessly.
 
Speakers
avatar for Neelesh Pateriya

Neelesh Pateriya

Principal Engineer, Cisco
Neelesh is a Principal Engineer at the Cisco Developers platform. With a strong focus on driving innovation and excellence, he leads the development of the platform and the tool "API Insights," which plays a pivotal role in enabling a comprehensive organization-wide API Quality program... Read More →
Thursday September 11, 2025 2:30pm - 2:55pm PDT
VIRTUAL API World -- Workshop Stage B (PRO)
 
Friday, September 12
 

1:00pm PDT

[Virtual] PRO Session (DataWeek): Compute for Your AI Model: GPUs, LPUs, TPUs and Beyond..
Friday September 12, 2025 1:00pm - 1:25pm PDT
Kushaagra Goyal, Rubrik, Tech Lead

In the rapidly evolving landscape of computing, Graphics Processing Units (GPUs), Language Processing Units (LPUs), and Tensor Processing Units (TPUs) play pivotal roles in accelerating complex tasks, particularly in machine learning and artificial intelligence.

GPUs are renowned for their parallel processing capabilities, making them ideal for rendering graphics and handling large datasets. LPUs are specialized for optimizing natural language processing tasks, enhancing efficiency in understanding and generating human language. TPUs, developed by Google, are tailored specifically for training and inference of machine learning models, offering significant performance advantages for large-scale AI applications.

As we explore these technologies, we'll also look at emerging processing units designed for specific AI use-cases and the future of computational advancements.

Join me to dive into the intricacies of these processing units, their applications, and what lies ahead in the world of computing technology.
Speakers
avatar for Kushaagra Goyal

Kushaagra Goyal

Tech Lead, Rubrik
Kushaagra Goyal is an accomplished technology leader with deep expertise in engineering and AI infrastructure. He holds a Bachelor’s degree from the Indian Institute of Technology, Delhi (2016), and a Master’s degree from Stanford University, where he developed a strong foundation... Read More →
Friday September 12, 2025 1:00pm - 1:25pm PDT
VIRTUAL DataWeek -- Main Stage
 

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