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Notes from the trenches.
Laravel internals, AI engineering with Claude + MCP, RAG pipelines, Shopify Plus, DevOps. Production lessons from shipped work — every post earns its slot. Featured = hand-picked or most recent.
▸ 71 posts · last updated
Aug 9, 2026
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Machine learning vs generative AI
Machine Learning predicts; Generative AI creates. The discriminative-vs-generative split decides your architecture, infra, and monthly cloud bill.
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ShopifyHow agentic commerce changes building on Shopify
Agentic commerce is reshaping how you build Shopify. The shift from human-centric themes to agent-ready infrastructure: Catalog, UCP, and MCP.
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AI7 mistakes wrecking your production RAG stack
Naive chunking, no reranker, embedding drift, latency blowups — the structural mistakes that wreck a production RAG stack, and the fixes that ship.
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ArchitectureScaling with RabbitMQ: why message brokers matter
Synchronous controllers are how monoliths die. RabbitMQ exchanges and queues, the strangler pattern for going async, and idempotent Laravel workers.
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AITrust is not a QA strategy: test AI code too
AI code is 95% syntactically clean and fails security tests 45% of the time. Half of agentic PRs ship no tests. The verification pipeline I run instead.
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ShopifyBuilding secure agentic commerce on Shopify in 2026
How agentic commerce on Shopify stays safe: UCP negotiation, an MCP governance layer, scoped credentials, signed requests, and human approval at checkout.
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ArchitectureMCP vs A2A vs ACP: the agent protocol stack
MCP connects agents to tools, A2A connects agents to each other, and ACP has folded into A2A. How the two-layer agent protocol stack fits together in 2026.
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DevOpsCoolify in 2026: why 60k developers chose self-hosted PaaS
Coolify crossed 60k GitHub stars. What that buys you, how it really compares to Dokploy, CapRover and Dokku, and the firewall claim to ignore.
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AIAI coding is like an addiction (in the best way)
A level-by-level map of the AI coding workflow: gateway prompts, codebase RAG, then multi-agent orchestration over MCP — and why manual coding now drags.
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AIStop reading every line of AI-generated code
Line-by-line review breaks on agent-sized diffs. How I moved to specs, property tests, and a multi-agent review pipeline — and the 3% I still read.
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