Browse past weeks of engineering reads.
Building production-grade AI agents that can maintain context and state across long-running enterprise workflows spanning days or weeks without losing information during idle periods or server restarts.
Enterprise systems need to react to events in real-time rather than relying on slow batch jobs or inefficient polling microservices that create dangerous delays in detecting critical issues like fraud or supply chain disruptions.
Standard message queues process messages in FIFO order, lacking the ability to prioritize urgent messages over lower-priority ones, which can cause critical tasks to wait behind less important work during high load.
The Amazon Key Suite had a tightly coupled monolithic architecture that struggled with reliability and scalability when processing millions of events at millisecond latency requirements across multiple service integrations.
Messenger needed to protect user privacy when clicking links in chats while still detecting and warning users about malicious URLs, creating a tension between link safety scanning and end-to-end privacy.