
Worked on the kestra-io/kestra repository to optimize performance and robustness in DAG cycle detection and dependency mapping. Addressed the challenge of exponential-time cycle detection by implementing an iterative depth-first search and constructing a pre-built dependency map, which reduced validation times for complex graphs from minutes to seconds. Improved stability by resolving issues with duplicate task IDs in the dependency map, introducing a merge strategy to ensure consistent validation. Leveraged Java, advanced algorithms, and efficient data structures such as HashSet and Map to enhance backend reliability. These changes enabled higher throughput, more reliable scheduling, and faster releases for complex workflow scenarios.
Month: 2026-06 | Kestra repository: kestra-io/kestra. This month focused on performance optimization of DAG cycle detection and robustness of DAG dependency mapping, delivering a high-impact feature and a stability fix with measurable business value.
Month: 2026-06 | Kestra repository: kestra-io/kestra. This month focused on performance optimization of DAG cycle detection and robustness of DAG dependency mapping, delivering a high-impact feature and a stability fix with measurable business value.

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