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3 min read
Most Teams Add Caching Before They Understand the Bottleneck
Caching can absolutely save a system. It can also freeze bad assumptions into place and make debugging harder when the real problem was never identified clearly.
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Topic Hub
Software engineering
Production lessons on architecture, debugging, maintainability, deployment workflows, and the tradeoffs that separate toy systems from durable ones.
This is the broadest bucket on the site, but it all comes back to one question: what still makes sense when the code has users, constraints, and consequences?
Start with these articles:
- Server-Sent Events: When WebSockets Are Overkill (And When They’re Not)
- Git Branching Strategies: Most Teams Pick Wrong (Here’s How to Choose)
- The Custom Framework You’re Building Will Break Your Team
- Stop Explaining JOINs with Venn Diagrams—Here’s What Actually Breaks
- Your Global Scope Is a Disaster (And It’s Breaking Production)
If your problems are mostly about systems getting harder to reason about, this is the lane to stay in.
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3 min read
Your Admin Panel Is a Security Boundary
Teams keep treating admin interfaces like internal convenience tools when they are often the most powerful and dangerous surface in the whole product.
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3 min read
Rate Limiting Is a Product Decision, Not Just an Infrastructure One
Teams often implement rate limits like pure backend plumbing. In reality, those limits shape user experience, customer trust, and who gets blocked when the system is under pressure.
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3 min read
Background Jobs Are Where Web Apps Go to Hide Complexity
Teams love pushing work into the background because the request gets faster. They forget the complexity did not disappear. It just moved somewhere less visible.
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3 min read
Shared Component Libraries Break Faster Than Teams Admit
A design system can reduce duplication, but teams keep turning shared component libraries into cross-team bottlenecks that slow everyone down.
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3 min read
The Migration That Works in Dev and Locks Production
Schema changes look safe in tiny local databases. Production is where table size, lock time, and rollout order turn an ordinary migration into a real incident.
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