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Of all the software bugs I’ve seen, mishandling concurrency is one of the most common root causes.
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At what point does better performance stop being worth it?
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Sometimes good engineering looks like over-engineering.
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AI has made code cheap to create, but more code means more overhead.
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“We can’t run locally” is usually a design smell.
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To make a service more stable, eliminate dependencies.
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Caching isn’t hard.
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The closer to the edge, the more stable a platform must be.
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Sometimes the most resilient thing a system can do isn’t retry.
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Should retries and timeouts live in your application or your service mesh?
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Need to migrate from one database to another without downtime?
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Glue Services: Part Two — Data Synchronization.
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When modernizing legacy systems, don’t be afraid to build glue services.
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Coding agents can’t see your architecture diagrams—fix that.
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Most teams put low-level architecture in the wrong place—if they document it at all.
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Your coding agent is missing one thing: architectural context.
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One of the easiest ways to break a gRPC service in production is health-checking the wrong listener.
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Weighted load balancing has saved me more times than I can count.
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YOLO is a terrible strategy for validating production changes.
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Deterministic routing is one of the most effective ways distributed systems reduce consistency problems at scale.
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When you think of microservices, you probably think of centralized shared services.
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Are you using traffic mirroring in production?
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Use Agent Skills to capture institutional knowledge and make it usable by coding agents.
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Saved prompts are dead.
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Generating code faster is only valuable if you can validate every change with confidence.