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tarekgs/ddia-engineering

v0.1.0MIT

Data-intensive and distributed-systems engineering judgment for coding agents, distilled from Designing Data-Intensive Applications (2e) and Software Architecture: The Hard Parts. Skills for stateful-feature design, architecture review, concurrency/consistency, failure handling, realtime sync, schema evolution, boundaries, workflows, and project architecture memory.

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skills

ddia-scale-and-load

Model load, find hot spots, reason about tail latency, backpressure, and overload. Use when asked "will this scale", when adding fan-out or a hot path, when choosing sharding/partitioning, or when deciding whether a scale concern is now or later.

Read SKILL.md at the source

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