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Engineering & product playbooks
Hands-on playbooks, decision frameworks, and case studies from the team building AI-native products at CodeNicely.
Top AI Development Companies in the US for SMBs
Not every AI development company in the US is built for a 50–500 person business. Here's how the categories actually differ — and how to pick without a painful mid-project discovery call.
Questions to Ask Before Hiring an AI Automation Partner
Most AI automation vendors demo the happy path and hide the exception queue. Here are 17 questions that force a prospective partner to prove they've operationalized AI inside a real, messy business process — not just built a slick pilot.
GST Compliance Cheatsheet for SaaS Products Serving Indian SMBs
A reference sheet for SaaS founders whose billing engine treats GST as one flat tax field. Covers the four axes GST branches on — and the invoice fields that make or break your customers' input tax credit claims.
How to Cut Over a Legacy ERP Without Freezing Operations
A COO's playbook for cutting over a legacy ERP while orders, picks, and invoices are still in flight. The riskiest window isn't go-live — it's the 72 hours before it.
How to Hire a Software Development Partner in the UAE
Vetting a software development partner in the UAE comes down to one thing: whether they've actually shipped systems that handle Arabic RTL, UAE VAT logic, and GCC data residency — or whether they'll learn those constraints on your budget. Here's how to tell the difference.
5 Mistakes Teams Make When Migrating a Live Transport Marketplace
Re-architecting a live freight marketplace while trucks are mid-route is a different problem from a standard platform migration. Here are the five mistakes we see engineering teams make — and the in-flight trip state trap that causes most of them.
Rate-Limit LLM API Calls Per Tenant Without Dropping Requests
One noisy tenant is eating your shared OpenAI quota and 429-ing everyone else. Here is a runnable per-tenant token-bucket limiter in Redis that meters by estimated tokens and queues excess requests instead of dropping them.
What Is RAG? Stop Letting Your AI Hallucinate Your Own Data
Your AI assistant keeps confidently inventing answers about your own product because a system prompt is not a database. Here's what RAG actually does, where it breaks, and when to use it instead of fine-tuning.
Celery vs. Temporal vs. BullMQ: Pick the Right Job Queue
Most job queue comparisons benchmark throughput and miss the dimension that actually breaks in production: what happens to a multi-step workflow when a worker dies mid-execution. Here's how Celery, Temporal, and BullMQ actually differ where it matters.
Your AI Pilot Worked. That's Why It Won't Scale.
A successful AI pilot is often evidence of the opposite of what teams think. It proves the use case worked under ideal conditions — the exact conditions that vanish at scale.
Monolith vs. Microservices: Pick the Right Cut Point
Most teams debating microservices actually have a module-boundary problem, not an architecture problem. Here's a decision framework to tell the difference before you commit six-plus months of engineering capacity to a migration you may not need.
How to Onboard a Logistics Partner onto a Live Freight Platform
Carrier onboarding rarely fails at document collection. It fails at entity resolution — when one fleet owner with three phone numbers and two trade names looks like three broken signups. Here's how to fix the funnel.