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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.
▸ 88 posts · last updated
Oct 4, 2026
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Migrate Storefront MCP carts to UCP Cart MCP
Storefront MCP get_cart and update_cart on /api/mcp are deprecated. Move agents to UCP Cart MCP at /api/ucp/mcp with create, get, update, and cancel.
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▸ 9 of 87 · paginated below
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ArchitectureMCP first is the new mobile first
Mobile first made every screen work on a phone. MCP first makes every product capability work for an AI agent: tools, skills, and permissions before the human UI.
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LaravelMCP auth and audit logging in a Laravel SaaS
An MCP server on Laravel is only as safe as its tenancy boundary. Scoped tool auth, request-bound actor context, and an audit log you can actually read at 3am.
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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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AIAI writes the code. Your job is the gates.
AI made code cheap. The engineer's job is the gate stack bad code cannot pass: tests, mutation testing, PHPStan, required CI checks, monitoring and rollback.
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AIChatbots answered questions. Bots now do the work.
The first AI wave gave us chatbots that answer. The new wave gives us bots that do the work while we're away. What changes, what still needs a person, and who should get ready.
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AIGrok Bot vs OpenAI dots: a team of bots or one agent
OpenAI dots and Grok Bot both give an AI agent its own cloud computer. Here is how they differ on teams, control, routines and access, and which fits your work.
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AIRun your business with one AI assistant per area
A simple setup for running any business with AI assistants: one hub, one bot per area of work, strict scopes, drafts before sends, and routines that stay quiet.
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