Testing and Mocking External Web Data in AI Development
Separate mocking for fetch reliability and AI reasoning to test web data pipelines effectively.
Priya Venkataraman
Senior Staff Writer
Priya Venkataraman
Priya covers the infrastructure and tooling layers of modern AI development, with a background in software engineering at two early-stage developer platforms. She spent six years at a data pipeline startup before moving to full-time technical journalism in 2017.
6 stories
Agent Orchestration Frameworks Compared
How different orchestration frameworks handle state, routing, and failure recovery in production.
Priya Venkataraman
Multi-Step Research Workflows With AI Agents
Fresh web data and robust extraction matter more than model choice for reliable research agents.
Priya Venkataraman
Scraping Dynamic Pagination and Infinite Scroll for Data Pipelines
Reverse-engineer the hidden API before automating clicks or scrolls.
Priya Venkataraman
Crawl Budget Management for Large-Scale AI Data Collection
Optimize which pages you fetch, not just how many, to keep AI pipelines efficient and fresh.
Priya Venkataraman
Headless Browser Scraping vs Managed Scraping APIs
Headless browsers work well until anti-bot systems catch their fingerprints.
Priya Venkataraman