Where Did I Save That Article? Crawl, Cache, Retrieve

The post explores improvements to an AI tool for managing saved links, addressing challenges in retrieval. It proposes creating a durable cache for links and enhancing search functionality with vector embeddings. The author emphasizes the need for security in URL fetching and systematic database migrations. The goal is easy access to previously saved articles and... Continue reading →

The Cron That Double-Posts and the Calendar I Actually Want

The post discusses a critical bug in a scheduled publishing feature used for cross-posting on various platforms. It details how the current system may lead to double posts due to timing issues between cross-posting and database updates. The author suggests a robust solution involving a new scheduling system to avoid such errors while emphasizing the... Continue reading →

Where Does Temporal Even Run When You’re All-In on Vercel?

The content discusses integrating Durable AI into a serverless application, InterlinedList. The challenge arises from needing persistent components, like Temporal services and workers, which conflict with the serverless model. The solution involves adding one always-on worker to manage tasks while reusing existing codebase and maintaining app structure, ensuring budget control and process integrity. Continue reading →

I’ve Been Brainstorming Durable AI for InterlinedList, and It Kept Pointing at Temporal

Adron explores the challenges of integrating durable AI features into InterlinedList, which is entirely serverless. Key obstacles include serverless limitations on memory, scheduling flexibility, and cost management. A proposed solution is to employ a durable-workflow engine, like Temporal, which enhances efficiency and reduces costs associated with AI token usage. Continue reading →

That Gap Is Still Widening, But The Bottleneck Was Never Engineering

The content discusses the widening gap between organizations effectively leveraging Generative AI and those that are not. It argues that management bottlenecks, rather than engineering inefficiencies, are the core issue hindering progress. Generative AI exposes these inefficiencies, emphasizing the need for systemic thinking and simplification to fully realize productivity gains. Continue reading →