Software Development
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The Economics of Technical Debt: How to Reason About It Strategically Rather Than Emotionally
When engineering teams talk about technical debt, the conversation often spirals into frustration. Developers complain about messy code, legacy systems,…
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Amdahl’s Law vs. Gustafson’s Law: Two Competing Theories of Why Parallelism Doesn’t Scale Linearly
The two classic laws engineers conflate, and why the right one depends on whether your problem size is fixed or…
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Designing Educational Apps with LLMs
Large Language Models (LLMs) have transformed the way educational platforms deliver personalized learning experiences. Instead of simply displaying static lessons,…
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The FLP Impossibility Result: Why No Distributed Algorithm Can Guarantee Consensus in Asynchronous Networks
The 1985 Fischer, Lynch, and Paterson proof underneath every eventually consistent design decision, explained without the formal notation. Somewhere underneath…
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Escape Analysis and Scalar Replacement: Why Some Objects Never Touch the Heap
Small, verifiable before and after code examples showing what helps, or defeats, the JIT’s ability to keep an object off…
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CRDTs: How Distributed Systems Merge Conflicting Writes Without Coordination
Distributed systems often need to handle concurrent writes from multiple replicas. In a traditional design, coordination, locking, or consensus decides…
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The Circuit Breaker Pattern’s Hidden Assumptions: When “Fail Fast” Fails Slow
The circuit breaker pattern is useful, but it carries quiet assumptions: that failure is binary and that recovery is easy…
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RAG Beyond Context Limits
Large Language Models (LLMs) have significantly improved the way organizations build AI-powered applications. One of the most successful patterns is…
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Sagas vs. Two-Phase Commit: Two Fundamentally Different Answers to Distributed Transactions
Coordinated blocking consistency against compensating-action eventual consistency — and why most modern systems quietly picked the second option. Place an…
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