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A few months ago I wrote about the new calculus of AI-based coding, how 10x velocity gains require corresponding investment in testing, deployment, and coordination, or the bottleneck just moves.
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I've been doing agentic coding seriously for about six months now.
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I've been having a small problem.
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When I blogged about the challenges and opportunities of AI assisted coding, there were a fair number of questions about details of our experience.
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Over the past three months, a team of experienced, like-minded engineers and I have been building something really cool within Amazon Bedrock.
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If you work with multi-tenant systems you are probably familiar with the concept of throttling or admission control.
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When working on distributed systems, it's not uncommon to need a piece of logic that executes across the entire system.
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I was at an airport during a recent business trip, watching planes take off and land when I saw the iconic Boeing 747 take off.
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In this post, I wanted to make a quick observation about batching as an underused technique in distributed systems.
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The topic of software performance and efficiency has been making rounds this month, especially around engineers not being able to influence their leadership to invest in performance.
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In a recent operational review, a colleague brought up how past feedback from me has influenced his team's avoidance of feature flags.
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Well, hello there.