
Frank Feng expanded the AgentQL JavaScript SDK in the tinyfish-io/agentql repository, delivering new web scraping and automation capabilities with features like stealth mode and session management. He refactored the project structure, reorganizing example scripts and updating workflows to streamline onboarding and reduce maintenance. Using JavaScript, Python, and YAML, Frank integrated ESLint and Prettier to enforce code quality and consistency across the codebase. His work included developing and refining example scripts, removing outdated artifacts, and improving documentation. These changes enhanced the developer experience, lowered integration risk for clients, and established a more maintainable foundation for future contributions.

November 2024 (2024-11) monthly summary for tinyfish-io/agentql: Delivered key SDK and repository improvements that accelerate client onboarding and reduce maintenance overhead. The AgentQL JavaScript SDK Expansion provides a comprehensive JavaScript SDK with web-scraping and automation examples, including stealth mode and session management, plus code quality tooling with ESLint and Prettier. A project structure refactor and example cleanup reorganized the repository, updated workflows, added new JavaScript examples, refined Python examples, and removed an outdated debugging example to streamline the examples directory. These changes collectively improve developer experience, reduce integration risk for clients, and set a higher standard for future contributions.
November 2024 (2024-11) monthly summary for tinyfish-io/agentql: Delivered key SDK and repository improvements that accelerate client onboarding and reduce maintenance overhead. The AgentQL JavaScript SDK Expansion provides a comprehensive JavaScript SDK with web-scraping and automation examples, including stealth mode and session management, plus code quality tooling with ESLint and Prettier. A project structure refactor and example cleanup reorganized the repository, updated workflows, added new JavaScript examples, refined Python examples, and removed an outdated debugging example to streamline the examples directory. These changes collectively improve developer experience, reduce integration risk for clients, and set a higher standard for future contributions.
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