Why a context engine needs Durable Execution: How Unblocked rebuilt its ingestion backbone on Temporal

Unblocked, a context engine for AI-driven software development, transitioned its architecture to Temporal to address challenges in continuously computing against the current state of various data sources, such as code, PRs, and Slack conversations, without relying on cached answers. Originally utilizing a DIY actor model with custom queues and retries, Unblocked found this approach resource-intensive and opted for Temporal due to its polyglot SDK support, durable execution primitives, and robust capabilities. By integrating Temporal, Unblocked improved system reliability and efficiency, enabling deployment-free workflows and eliminating complex orchestration code. This shift allowed the engineering team to focus more on product development rather than infrastructure, significantly enhancing the overall value of the platform. With Temporal, Unblocked now efficiently runs about 1 million workflows daily, with plans to further streamline its code ingestion and expand Temporal's adoption across all engineering processes.

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