▸ Tag · #laravel
Laravel.
Laravel in production: Octane and Swoole under real traffic, queue design, multi-tenancy, and the parts of the framework that bite at scale.
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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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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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ArchitectureHITL gates for agent mutations
Human-in-the-loop risk gates for refunds, inventory, and spend. Verify mutations after tool calls so agents cannot declare early victory.
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LaravelMCP OAuth PKCE for multi-tenant SaaS
Laravel MCP requires PKCE S256 and prefers Client ID Metadata Documents. How multi-tenant SaaS should bind workspace at consent and avoid common agent auth failures.
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LaravelStateless MCP servers on Laravel
Laravel MCP 1.0 drops session IDs. Scale with Octane and queues, keep auth and idempotency, and pass your own correlation ids in _meta.
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LaravelLaravel MCP searchable tool catalogs
Laravel MCP 1.0 searchable catalogs and cache hints cut context bloat. When to expose tools versus discover them with search_tools and execute_tools.
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LaravelMCP tool errors agents can actually recover from
Throwing exceptions hides failures from the model. MCP wants isError tool results with actionable text, mapped from Laravel domain failures and audited like auth denials.
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LaravelIdempotency keys for MCP mutations in Laravel
Refunds, seat resets, and password emails need more than audit logging. Client-supplied idempotency keys, server-side short-circuits, and race-safe storage under Octane.
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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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AIVibe coding vs agentic engineering: which ships?
Vibe coding is for prototypes, agentic engineering is for production. The daily split I use to ship AI-written code without hidden technical debt.
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ArchitectureModular monoliths first: why microservices can wait
Distributed systems are the priciest fix for a problem you don't have. How to build a modular monolith, own data per module, and know when to split.
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ArchitectureStateless vs stateful apps: the architecture split
Stateful servers remember; stateless servers forget by design. Why horizontal scaling, sticky sessions, and shared Redis decide the architecture split.
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DevOpsBandwidth vs throughput: a wider pipe won't fix lag
Bandwidth is capacity, throughput is delivery. Why a wider pipe never fixes a throughput bottleneck, and the latency and protocol levers that do.
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AIAI vs machine learning: an engineering deep dive
AI is the umbrella, machine learning is the engine. See how the distinction shapes your RAG pipelines, agentic systems, and Laravel or Shopify architecture.
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ArchitectureSynchronous vs asynchronous communication
The technical differences between synchronous and asynchronous architectures in Laravel and Shopify, and how queues, jobs, and webhooks help you scale.
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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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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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ArchitectureLoad balancer vs reverse proxy: scale vs security
Reverse proxies handle SSL, caching, and security; load balancers handle scale and availability. The differences, and how to layer both in a Laravel stack.
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DevOpsLogging vs monitoring: a guide for scaling
Monitoring tells you a system is unhealthy; logging tells you why. How to combine metrics, structured logs, and correlation IDs for fast debugging.
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ArchitectureLoad balancer vs API gateway
Load balancers distribute traffic; API gateways enforce policy. The real differences, when to use each, and how to layer both in a production stack.
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ArchitectureHorizontal vs vertical scaling
Learn the key differences between horizontal and vertical scaling. Discover the right architectural strategy for scaling your web application effectively.
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DevOpsCDN vs cache: why your high-traffic site needs both
CDN and cache solve different problems: distance vs repeated work. How to layer edge delivery and server-side caching for high-traffic sites.
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DevOpsCI vs CD: automating quality and delivery
Continuous Integration vs Continuous Delivery explained. How to automate the path from commit to production for Laravel backends and Shopify storefronts.
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LaravelLaravel Octane for high-traffic PHP apps
Laravel Octane boots your app once and keeps it warm in memory, feeding requests through a worker pool. How to cut boot overhead and scale to high traffic.
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ArchitectureCircuit breakers: stopping vector DB failures
A slow vector DB kills SaaS faster than a dead one. The circuit-breaker pattern for AI infra: states, fallback tiers, and Laravel-friendly wiring.
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ArchitectureMessage queues for heavy-duty document processing
Stop running embeddings in the request cycle. Build a document pipeline on message queues with staged workers, retries, dead-letter queues, and autoscaling.
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ArchitectureRate limiting: protecting your AI wallet
One runaway agent loop can mean a $5,000 LLM bill. Why request-per-second limits lie, and how hierarchical token-bucket limits protect your margins.
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ArchitectureScaling with RabbitMQ: why message brokers matter
Synchronous controllers are how monoliths die. RabbitMQ exchanges and queues, a one-task-at-a-time path to async, and idempotent Laravel workers.
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ArchitectureEvent-driven architecture with Google Pub/Sub
Decouple your services or drown in latency. Topics, fan-out, push vs pull, dead-letter queues, and idempotent consumers in a Laravel Pub/Sub blueprint.
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ArchitectureVibe coding: the shift to agentic workflows
MCP, agentic loops, and intent-based engineering. How vibe coding becomes a real architecture pattern, plus the Laravel and MCP stack I run today.
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ArchitectureMonolith to microservices: a pragmatic guide
Skip the big-bang rewrite. The strangler fig pattern, anti-corruption layers, and Docker-first steps to move from monolith to microservices safely.
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LaravelLaravel multi-tenancy: a scalable SaaS architecture
Single DB vs multi-DB, global scopes that stop data leaks, stancl/tenancy in production, isolated storage, automated migrations, and a Docker plus Cloud setup.
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AIPicking the right RAG stack: vector databases for AI
pgvector, Pinecone, Weaviate, Qdrant: a 2026 field guide to picking the right vector store for your AI app, with hybrid search and scaling tips.
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AIVibe coding: why projects need more than logic
Taste, intent and feel matter more in the Cursor and Claude era, and here is how to keep the codebase from becoming a ball of mud while you vibe.
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CareerHello, world. Yes, another developer blog.
Why this developer blog exists, what I'll write about (Laravel, AI, Shopify) and why every code sample here is meant to run in production.
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