Copilot Workspace vs Extractor

“Issue-to-PR workflow is the right abstraction. The planning step prevents the 'just generate code' antipattern.”

“Schema-driven extraction with LLM fallback is exactly right. Traditional scrapers break on every site redesign — Extractor adapts because it understands the content semantically. The TypeScript-first approach with strong typing on outputs is chef's kiss for building data pipelines.”

“Still limited in what it can handle. Works for straightforward issues but struggles with anything architecturally complex.”

“LLM extraction costs add up fast at scale. But for the use cases where you need it — scraping sites with unpredictable layouts, extracting from pages that change frequently — the reliability improvement over CSS selectors easily justifies the token spend.”

“This is where all development is heading — describe what you want, AI plans and implements. GitHub has distribution advantage.”

“I have been using this to pull structured data from competitor landing pages and product directories. The schema definition is intuitive and the extraction quality is surprisingly consistent even across wildly different page designs.”