▸ Blog · Page 5
More from the trenches.
Older posts. Same hot takes.
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CareerSolutions architect vs forward deployed engineer
Solutions architect vs forward deployed engineer: one owns the blueprint, the other owns the outcome. Who carries delivery risk, and which you need.
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ArchitectureREST vs gRPC: two API philosophies
The technical differences between REST and gRPC: when to use Protocol Buffers over JSON for high-performance microservices, and why good designs use both.
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ArchitectureServerless vs containers: the 2026 engineering guide
Compare Serverless vs Containers for performance, cost, and scalability. Learn why hybrid models are winning for Laravel and Shopify applications in 2026.
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DevOpsReplication vs backup: why Laravel needs both
Replication protects you from hardware failure; backups protect you from your own mistakes. How read/write splitting and point-in-time recovery fit in.
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AIRAG vs fine-tuning: choosing your AI architecture
RAG vs fine-tuning for production LLMs: knowledge vs behavior, latency, cost, privacy, and the hybrid approach. How to pick the right AI architecture.
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DevOpsRate limiting vs throttling
The engineering difference between rate limiting and throttling, and how each secures your APIs and keeps infrastructure stable under heavy load.
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AIRAG architectures: traditional, agentic, corrective
Compare traditional, agentic, and corrective RAG architectures, with the latency, cost, and accuracy trade-offs that decide which fits your AI app.
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ArchitectureMonolith vs microservices: how to choose
Monolith vs microservices: the real technical trade-offs for Laravel and Shopify teams, when each pays off, and why a modular monolith often wins.
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AIPrompt engineering vs context engineering
The shift from instruction design to data infrastructure: how context engineering uses RAG, MCP and memory to build accurate AI systems.
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